diff --git a/spacy/cli/_util.py b/spacy/cli/_util.py
index 4012737cf..9d2b73fa6 100644
--- a/spacy/cli/_util.py
+++ b/spacy/cli/_util.py
@@ -29,7 +29,7 @@ COMMAND = "python -m spacy"
 NAME = "spacy"
 HELP = """spaCy Command-line Interface
 
-DOCS: https://nightly.spacy.io/api/cli
+DOCS: https://spacy.io/api/cli
 """
 PROJECT_HELP = f"""Command-line interface for spaCy projects and templates.
 You'd typically start by cloning a project template to a local directory and
diff --git a/spacy/cli/convert.py b/spacy/cli/convert.py
index 2e52bfa41..1eacd6399 100644
--- a/spacy/cli/convert.py
+++ b/spacy/cli/convert.py
@@ -64,7 +64,7 @@ def convert_cli(
     is written to stdout, so you can pipe them forward to a JSON file:
     $ spacy convert some_file.conllu --file-type json > some_file.json
 
-    DOCS: https://nightly.spacy.io/api/cli#convert
+    DOCS: https://spacy.io/api/cli#convert
     """
     if isinstance(file_type, FileTypes):
         # We get an instance of the FileTypes from the CLI so we need its string value
@@ -268,6 +268,6 @@ def _get_converter(msg, converter, input_path):
             msg.warn(
                 "Can't automatically detect NER format. "
                 "Conversion may not succeed. "
-                "See https://nightly.spacy.io/api/cli#convert"
+                "See https://spacy.io/api/cli#convert"
             )
     return converter
diff --git a/spacy/cli/debug_config.py b/spacy/cli/debug_config.py
index 5f9759c8c..549072a1e 100644
--- a/spacy/cli/debug_config.py
+++ b/spacy/cli/debug_config.py
@@ -34,7 +34,7 @@ def debug_config_cli(
     as command line options. For instance, --training.batch_size 128 overrides
     the value of "batch_size" in the block "[training]".
 
-    DOCS: https://nightly.spacy.io/api/cli#debug-config
+    DOCS: https://spacy.io/api/cli#debug-config
     """
     overrides = parse_config_overrides(ctx.args)
     import_code(code_path)
diff --git a/spacy/cli/debug_data.py b/spacy/cli/debug_data.py
index c04647fde..316b615c5 100644
--- a/spacy/cli/debug_data.py
+++ b/spacy/cli/debug_data.py
@@ -50,7 +50,7 @@ def debug_data_cli(
     useful stats, and can help you find problems like invalid entity annotations,
     cyclic dependencies, low data labels and more.
 
-    DOCS: https://nightly.spacy.io/api/cli#debug-data
+    DOCS: https://spacy.io/api/cli#debug-data
     """
     if ctx.command.name == "debug-data":
         msg.warn(
diff --git a/spacy/cli/debug_model.py b/spacy/cli/debug_model.py
index 2e4d9456f..54c09c850 100644
--- a/spacy/cli/debug_model.py
+++ b/spacy/cli/debug_model.py
@@ -40,7 +40,7 @@ def debug_model_cli(
     Analyze a Thinc model implementation. Includes checks for internal structure
     and activations during training.
 
-    DOCS: https://nightly.spacy.io/api/cli#debug-model
+    DOCS: https://spacy.io/api/cli#debug-model
     """
     setup_gpu(use_gpu)
     layers = string_to_list(layers, intify=True)
diff --git a/spacy/cli/download.py b/spacy/cli/download.py
index 6f9697f32..1c57f0b23 100644
--- a/spacy/cli/download.py
+++ b/spacy/cli/download.py
@@ -28,7 +28,7 @@ def download_cli(
     additional arguments provided to this command will be passed to `pip install`
     on package installation.
 
-    DOCS: https://nightly.spacy.io/api/cli#download
+    DOCS: https://spacy.io/api/cli#download
     AVAILABLE PACKAGES: https://spacy.io/models
     """
     download(model, direct, *ctx.args)
@@ -80,7 +80,7 @@ def get_compatibility() -> dict:
             f"Couldn't fetch compatibility table. Please find a package for your spaCy "
             f"installation (v{about.__version__}), and download it manually. "
             f"For more details, see the documentation: "
-            f"https://nightly.spacy.io/usage/models",
+            f"https://spacy.io/usage/models",
             exits=1,
         )
     comp_table = r.json()
diff --git a/spacy/cli/evaluate.py b/spacy/cli/evaluate.py
index b14cf2876..539a182f4 100644
--- a/spacy/cli/evaluate.py
+++ b/spacy/cli/evaluate.py
@@ -36,7 +36,7 @@ def evaluate_cli(
     dependency parses in a HTML file, set as output directory as the
     displacy_path argument.
 
-    DOCS: https://nightly.spacy.io/api/cli#evaluate
+    DOCS: https://spacy.io/api/cli#evaluate
     """
     import_code(code_path)
     evaluate(
diff --git a/spacy/cli/info.py b/spacy/cli/info.py
index 16404a6a0..8cc7018ff 100644
--- a/spacy/cli/info.py
+++ b/spacy/cli/info.py
@@ -23,7 +23,7 @@ def info_cli(
     print its meta information. Flag --markdown prints details in Markdown for easy
     copy-pasting to GitHub issues.
 
-    DOCS: https://nightly.spacy.io/api/cli#info
+    DOCS: https://spacy.io/api/cli#info
     """
     exclude = string_to_list(exclude)
     info(model, markdown=markdown, silent=silent, exclude=exclude)
diff --git a/spacy/cli/init_config.py b/spacy/cli/init_config.py
index 25e4faa50..6bdf393f6 100644
--- a/spacy/cli/init_config.py
+++ b/spacy/cli/init_config.py
@@ -41,7 +41,7 @@ def init_config_cli(
     optimal settings for your use case. This includes the choice of architecture,
     pretrained weights and related hyperparameters.
 
-    DOCS: https://nightly.spacy.io/api/cli#init-config
+    DOCS: https://spacy.io/api/cli#init-config
     """
     if isinstance(optimize, Optimizations):  # instance of enum from the CLI
         optimize = optimize.value
@@ -78,9 +78,9 @@ def init_fill_config_cli(
     from the default config and will create all objects, check the registered
     functions for their default values and update the base config. This command
     can be used with a config generated via the training quickstart widget:
-    https://nightly.spacy.io/usage/training#quickstart
+    https://spacy.io/usage/training#quickstart
 
-    DOCS: https://nightly.spacy.io/api/cli#init-fill-config
+    DOCS: https://spacy.io/api/cli#init-fill-config
     """
     fill_config(output_file, base_path, pretraining=pretraining, diff=diff)
 
diff --git a/spacy/cli/package.py b/spacy/cli/package.py
index a2b8e69ae..a25395186 100644
--- a/spacy/cli/package.py
+++ b/spacy/cli/package.py
@@ -38,7 +38,7 @@ def package_cli(
     registered functions like pipeline components), they are copied into the
     package and imported in the __init__.py.
 
-    DOCS: https://nightly.spacy.io/api/cli#package
+    DOCS: https://spacy.io/api/cli#package
     """
     create_sdist, create_wheel = get_build_formats(string_to_list(build))
     code_paths = [Path(p.strip()) for p in string_to_list(code_paths)]
diff --git a/spacy/cli/pretrain.py b/spacy/cli/pretrain.py
index 15a1e92a5..1f8fc99cc 100644
--- a/spacy/cli/pretrain.py
+++ b/spacy/cli/pretrain.py
@@ -44,7 +44,7 @@ def pretrain_cli(
     all settings are the same between pretraining and training. Ideally,
     this is done by using the same config file for both commands.
 
-    DOCS: https://nightly.spacy.io/api/cli#pretrain
+    DOCS: https://spacy.io/api/cli#pretrain
     """
     config_overrides = parse_config_overrides(ctx.args)
     import_code(code_path)
diff --git a/spacy/cli/profile.py b/spacy/cli/profile.py
index 43226730d..f4f0d3caf 100644
--- a/spacy/cli/profile.py
+++ b/spacy/cli/profile.py
@@ -30,7 +30,7 @@ def profile_cli(
     It can either be provided as a JSONL file, or be read from sys.sytdin.
     If no input file is specified, the IMDB dataset is loaded via Thinc.
 
-    DOCS: https://nightly.spacy.io/api/cli#debug-profile
+    DOCS: https://spacy.io/api/cli#debug-profile
     """
     if ctx.parent.command.name == NAME:  # called as top-level command
         msg.warn(
diff --git a/spacy/cli/project/assets.py b/spacy/cli/project/assets.py
index 58f59a3f9..b49e18608 100644
--- a/spacy/cli/project/assets.py
+++ b/spacy/cli/project/assets.py
@@ -22,7 +22,7 @@ def project_assets_cli(
     provided in the project.yml, the file is only downloaded if no local file
     with the same checksum exists.
 
-    DOCS: https://nightly.spacy.io/api/cli#project-assets
+    DOCS: https://spacy.io/api/cli#project-assets
     """
     project_assets(project_dir, sparse_checkout=sparse_checkout)
 
diff --git a/spacy/cli/project/clone.py b/spacy/cli/project/clone.py
index 851fc444a..e4edd4a73 100644
--- a/spacy/cli/project/clone.py
+++ b/spacy/cli/project/clone.py
@@ -25,7 +25,7 @@ def project_clone_cli(
     defaults to the official spaCy template repo, but can be customized
     (including using a private repo).
 
-    DOCS: https://nightly.spacy.io/api/cli#project-clone
+    DOCS: https://spacy.io/api/cli#project-clone
     """
     if dest is None:
         dest = Path.cwd() / Path(name).parts[-1]
diff --git a/spacy/cli/project/document.py b/spacy/cli/project/document.py
index 811b7c746..697a2d3a9 100644
--- a/spacy/cli/project/document.py
+++ b/spacy/cli/project/document.py
@@ -5,7 +5,7 @@ from ...util import working_dir
 from .._util import project_cli, Arg, Opt, PROJECT_FILE, load_project_config
 
 
-DOCS_URL = "https://nightly.spacy.io"
+DOCS_URL = "https://spacy.io"
 INTRO = f"""> ⚠️ This project template uses the new [**spaCy v3.0**]({DOCS_URL}), which
 > is currently available as a nightly pre-release. You can install it from pip as `spacy-nightly`:
 > `pip install spacy-nightly`. Make sure to use a fresh virtual environment."""
@@ -44,7 +44,7 @@ def project_document_cli(
     auto-generated section and only the auto-generated docs will be replaced
     when you re-run the command.
 
-    DOCS: https://nightly.spacy.io/api/cli#project-document
+    DOCS: https://spacy.io/api/cli#project-document
     """
     project_document(project_dir, output_file, no_emoji=no_emoji)
 
diff --git a/spacy/cli/project/dvc.py b/spacy/cli/project/dvc.py
index 6eedc9c20..7e37712c3 100644
--- a/spacy/cli/project/dvc.py
+++ b/spacy/cli/project/dvc.py
@@ -34,7 +34,7 @@ def project_update_dvc_cli(
     workflow is used. The DVC config will only be updated if the project.yml
     changed.
 
-    DOCS: https://nightly.spacy.io/api/cli#project-dvc
+    DOCS: https://spacy.io/api/cli#project-dvc
     """
     project_update_dvc(project_dir, workflow, verbose=verbose, force=force)
 
diff --git a/spacy/cli/project/pull.py b/spacy/cli/project/pull.py
index 26676d5b3..b88387a9f 100644
--- a/spacy/cli/project/pull.py
+++ b/spacy/cli/project/pull.py
@@ -19,7 +19,7 @@ def project_pull_cli(
     A storage can be anything that the smart-open library can upload to, e.g.
     AWS, Google Cloud Storage, SSH, local directories etc.
 
-    DOCS: https://nightly.spacy.io/api/cli#project-pull
+    DOCS: https://spacy.io/api/cli#project-pull
     """
     for url, output_path in project_pull(project_dir, remote):
         if url is not None:
diff --git a/spacy/cli/project/push.py b/spacy/cli/project/push.py
index 26495412d..44050b716 100644
--- a/spacy/cli/project/push.py
+++ b/spacy/cli/project/push.py
@@ -18,7 +18,7 @@ def project_push_cli(
     the smart-open library can upload to, e.g. AWS, Google Cloud Storage, SSH,
     local directories etc.
 
-    DOCS: https://nightly.spacy.io/api/cli#project-push
+    DOCS: https://spacy.io/api/cli#project-push
     """
     for output_path, url in project_push(project_dir, remote):
         if url is None:
diff --git a/spacy/cli/project/run.py b/spacy/cli/project/run.py
index 1a9b447ea..ca3ffcebf 100644
--- a/spacy/cli/project/run.py
+++ b/spacy/cli/project/run.py
@@ -28,7 +28,7 @@ def project_run_cli(
     commands define dependencies and/or outputs, they will only be re-run if
     state has changed.
 
-    DOCS: https://nightly.spacy.io/api/cli#project-run
+    DOCS: https://spacy.io/api/cli#project-run
     """
     if show_help or not subcommand:
         print_run_help(project_dir, subcommand)
diff --git a/spacy/cli/train.py b/spacy/cli/train.py
index 0120ec08a..dc5b332d7 100644
--- a/spacy/cli/train.py
+++ b/spacy/cli/train.py
@@ -37,7 +37,7 @@ def train_cli(
     used to register custom functions and architectures that can then be
     referenced in the config.
 
-    DOCS: https://nightly.spacy.io/api/cli#train
+    DOCS: https://spacy.io/api/cli#train
     """
     util.logger.setLevel(logging.DEBUG if verbose else logging.INFO)
     # Make sure all files and paths exists if they are needed
diff --git a/spacy/cli/validate.py b/spacy/cli/validate.py
index 9a75ed6f3..67fc16383 100644
--- a/spacy/cli/validate.py
+++ b/spacy/cli/validate.py
@@ -17,7 +17,7 @@ def validate_cli():
     if the installed packages are compatible and shows upgrade instructions if
     available. Should be run after `pip install -U spacy`.
 
-    DOCS: https://nightly.spacy.io/api/cli#validate
+    DOCS: https://spacy.io/api/cli#validate
     """
     validate()
 
diff --git a/spacy/displacy/__init__.py b/spacy/displacy/__init__.py
index 48229572b..2049809a7 100644
--- a/spacy/displacy/__init__.py
+++ b/spacy/displacy/__init__.py
@@ -1,8 +1,8 @@
 """
 spaCy's built in visualization suite for dependencies and named entities.
 
-DOCS: https://nightly.spacy.io/api/top-level#displacy
-USAGE: https://nightly.spacy.io/usage/visualizers
+DOCS: https://spacy.io/api/top-level#displacy
+USAGE: https://spacy.io/usage/visualizers
 """
 from typing import Union, Iterable, Optional, Dict, Any, Callable
 import warnings
@@ -37,8 +37,8 @@ def render(
     manual (bool): Don't parse `Doc` and instead expect a dict/list of dicts.
     RETURNS (str): Rendered HTML markup.
 
-    DOCS: https://nightly.spacy.io/api/top-level#displacy.render
-    USAGE: https://nightly.spacy.io/usage/visualizers
+    DOCS: https://spacy.io/api/top-level#displacy.render
+    USAGE: https://spacy.io/usage/visualizers
     """
     factories = {
         "dep": (DependencyRenderer, parse_deps),
@@ -88,8 +88,8 @@ def serve(
     port (int): Port to serve visualisation.
     host (str): Host to serve visualisation.
 
-    DOCS: https://nightly.spacy.io/api/top-level#displacy.serve
-    USAGE: https://nightly.spacy.io/usage/visualizers
+    DOCS: https://spacy.io/api/top-level#displacy.serve
+    USAGE: https://spacy.io/usage/visualizers
     """
     from wsgiref import simple_server
 
diff --git a/spacy/errors.py b/spacy/errors.py
index f16f4fd9d..54fd2d8b0 100644
--- a/spacy/errors.py
+++ b/spacy/errors.py
@@ -20,7 +20,7 @@ class Warnings:
             "generate a dependency visualization for it. Make sure the Doc "
             "was processed with a model that supports dependency parsing, and "
             "not just a language class like `English()`. For more info, see "
-            "the docs:\nhttps://nightly.spacy.io/usage/models")
+            "the docs:\nhttps://spacy.io/usage/models")
     W006 = ("No entities to visualize found in Doc object. If this is "
             "surprising to you, make sure the Doc was processed using a model "
             "that supports named entity recognition, and check the `doc.ents` "
@@ -86,7 +86,7 @@ class Warnings:
             "the config block to replace its token-to-vector listener with a copy "
             "and make it independent. For example, `replace_listeners = "
             "[\"model.tok2vec\"]` See the documentation for details: "
-            "https://nightly.spacy.io/usage/training#config-components-listeners")
+            "https://spacy.io/usage/training#config-components-listeners")
     W087 = ("Component '{name}' will be (re)trained, but the component '{listener}' "
             "depends on it via a listener and is frozen. This means that the "
             "performance of '{listener}' will be degraded. You can either freeze "
@@ -95,12 +95,12 @@ class Warnings:
             "the config block to replace its token-to-vector listener with a copy "
             "and make it independent. For example, `replace_listeners = "
             "[\"model.tok2vec\"]` See the documentation for details: "
-            "https://nightly.spacy.io/usage/training#config-components-listeners")
+            "https://spacy.io/usage/training#config-components-listeners")
     W088 = ("The pipeline component {name} implements a `begin_training` "
             "method, which won't be called by spaCy. As of v3.0, `begin_training` "
             "has been renamed to `initialize`, so you likely want to rename the "
             "component method. See the documentation for details: "
-            "https://nightly.spacy.io/api/language#initialize")
+            "https://spacy.io/api/language#initialize")
     W089 = ("As of spaCy v3.0, the `nlp.begin_training` method has been renamed "
             "to `nlp.initialize`.")
     W090 = ("Could not locate any {format} files in path '{path}'.")
@@ -180,7 +180,7 @@ class Errors:
     E010 = ("Word vectors set to length 0. This may be because you don't have "
             "a model installed or loaded, or because your model doesn't "
             "include word vectors. For more info, see the docs:\n"
-            "https://nightly.spacy.io/usage/models")
+            "https://spacy.io/usage/models")
     E011 = ("Unknown operator: '{op}'. Options: {opts}")
     E012 = ("Cannot add pattern for zero tokens to matcher.\nKey: {key}")
     E016 = ("MultitaskObjective target should be function or one of: dep, "
@@ -211,7 +211,7 @@ class Errors:
     E028 = ("`words` expects a list of unicode strings, but got bytes instance: {value}")
     E029 = ("`noun_chunks` requires the dependency parse, which requires a "
             "statistical model to be installed and loaded. For more info, see "
-            "the documentation:\nhttps://nightly.spacy.io/usage/models")
+            "the documentation:\nhttps://spacy.io/usage/models")
     E030 = ("Sentence boundaries unset. You can add the 'sentencizer' "
             "component to the pipeline with: `nlp.add_pipe('sentencizer')`. "
             "Alternatively, add the dependency parser or sentence recognizer, "
@@ -318,7 +318,7 @@ class Errors:
     E102 = ("Can't merge non-disjoint spans. '{token}' is already part of "
             "tokens to merge. If you want to find the longest non-overlapping "
             "spans, you can use the util.filter_spans helper:\n"
-            "https://nightly.spacy.io/api/top-level#util.filter_spans")
+            "https://spacy.io/api/top-level#util.filter_spans")
     E103 = ("Trying to set conflicting doc.ents: '{span1}' and '{span2}'. A "
             "token can only be part of one entity, so make sure the entities "
             "you're setting don't overlap.")
@@ -536,9 +536,9 @@ class Errors:
             "solve this, remove the existing directories in the output directory.")
     E902 = ("The sentence-per-line IOB/IOB2 file is not formatted correctly. "
             "Try checking whitespace and delimiters. See "
-            "https://nightly.spacy.io/api/cli#convert")
+            "https://spacy.io/api/cli#convert")
     E903 = ("The token-per-line NER file is not formatted correctly. Try checking "
-            "whitespace and delimiters. See https://nightly.spacy.io/api/cli#convert")
+            "whitespace and delimiters. See https://spacy.io/api/cli#convert")
     E904 = ("Cannot initialize StaticVectors layer: nO dimension unset. This "
             "dimension refers to the output width, after the linear projection "
             "has been applied.")
diff --git a/spacy/kb.pyx b/spacy/kb.pyx
index b21ca3808..4d02b89d0 100644
--- a/spacy/kb.pyx
+++ b/spacy/kb.pyx
@@ -23,7 +23,7 @@ cdef class Candidate:
     algorithm which will disambiguate the various candidates to the correct one.
     Each candidate (alias, entity) pair is assigned to a certain prior probability.
 
-    DOCS: https://nightly.spacy.io/api/kb/#candidate_init
+    DOCS: https://spacy.io/api/kb/#candidate_init
     """
 
     def __init__(self, KnowledgeBase kb, entity_hash, entity_freq, entity_vector, alias_hash, prior_prob):
@@ -81,7 +81,7 @@ cdef class KnowledgeBase:
     """A `KnowledgeBase` instance stores unique identifiers for entities and their textual aliases,
     to support entity linking of named entities to real-world concepts.
 
-    DOCS: https://nightly.spacy.io/api/kb
+    DOCS: https://spacy.io/api/kb
     """
 
     def __init__(self, Vocab vocab, entity_vector_length):
diff --git a/spacy/language.py b/spacy/language.py
index aab7c9b7a..6dee0f994 100644
--- a/spacy/language.py
+++ b/spacy/language.py
@@ -104,7 +104,7 @@ class Language:
         object and processing pipeline.
     lang (str): Two-letter language ID, i.e. ISO code.
 
-    DOCS: https://nightly.spacy.io/api/language
+    DOCS: https://spacy.io/api/language
     """
 
     Defaults = BaseDefaults
@@ -141,7 +141,7 @@ class Language:
             returns a tokenizer.
         batch_size (int): Default batch size for pipe and evaluate.
 
-        DOCS: https://nightly.spacy.io/api/language#init
+        DOCS: https://spacy.io/api/language#init
         """
         # We're only calling this to import all factories provided via entry
         # points. The factory decorator applied to these functions takes care
@@ -194,7 +194,7 @@ class Language:
 
         RETURNS (Dict[str, Any]): The meta.
 
-        DOCS: https://nightly.spacy.io/api/language#meta
+        DOCS: https://spacy.io/api/language#meta
         """
         spacy_version = util.get_model_version_range(about.__version__)
         if self.vocab.lang:
@@ -235,7 +235,7 @@ class Language:
 
         RETURNS (thinc.api.Config): The config.
 
-        DOCS: https://nightly.spacy.io/api/language#config
+        DOCS: https://spacy.io/api/language#config
         """
         self._config.setdefault("nlp", {})
         self._config.setdefault("training", {})
@@ -444,7 +444,7 @@ class Language:
             the score won't be shown in the logs or be weighted.
         func (Optional[Callable]): Factory function if not used as a decorator.
 
-        DOCS: https://nightly.spacy.io/api/language#factory
+        DOCS: https://spacy.io/api/language#factory
         """
         if not isinstance(name, str):
             raise ValueError(Errors.E963.format(decorator="factory"))
@@ -524,7 +524,7 @@ class Language:
             Used for pipeline analysis.
         func (Optional[Callable]): Factory function if not used as a decorator.
 
-        DOCS: https://nightly.spacy.io/api/language#component
+        DOCS: https://spacy.io/api/language#component
         """
         if name is not None and not isinstance(name, str):
             raise ValueError(Errors.E963.format(decorator="component"))
@@ -590,7 +590,7 @@ class Language:
         name (str): Name of pipeline component to get.
         RETURNS (callable): The pipeline component.
 
-        DOCS: https://nightly.spacy.io/api/language#get_pipe
+        DOCS: https://spacy.io/api/language#get_pipe
         """
         for pipe_name, component in self._components:
             if pipe_name == name:
@@ -619,7 +619,7 @@ class Language:
             arguments and types expected by the factory.
         RETURNS (Callable[[Doc], Doc]): The pipeline component.
 
-        DOCS: https://nightly.spacy.io/api/language#create_pipe
+        DOCS: https://spacy.io/api/language#create_pipe
         """
         name = name if name is not None else factory_name
         if not isinstance(config, dict):
@@ -740,7 +740,7 @@ class Language:
             arguments and types expected by the factory.
         RETURNS (Callable[[Doc], Doc]): The pipeline component.
 
-        DOCS: https://nightly.spacy.io/api/language#add_pipe
+        DOCS: https://spacy.io/api/language#add_pipe
         """
         if not isinstance(factory_name, str):
             bad_val = repr(factory_name)
@@ -838,7 +838,7 @@ class Language:
         name (str): Name of the component.
         RETURNS (bool): Whether a component of the name exists in the pipeline.
 
-        DOCS: https://nightly.spacy.io/api/language#has_pipe
+        DOCS: https://spacy.io/api/language#has_pipe
         """
         return name in self.pipe_names
 
@@ -860,7 +860,7 @@ class Language:
             arguments and types expected by the factory.
         RETURNS (Callable[[Doc], Doc]): The new pipeline component.
 
-        DOCS: https://nightly.spacy.io/api/language#replace_pipe
+        DOCS: https://spacy.io/api/language#replace_pipe
         """
         if name not in self.pipe_names:
             raise ValueError(Errors.E001.format(name=name, opts=self.pipe_names))
@@ -891,7 +891,7 @@ class Language:
         old_name (str): Name of the component to rename.
         new_name (str): New name of the component.
 
-        DOCS: https://nightly.spacy.io/api/language#rename_pipe
+        DOCS: https://spacy.io/api/language#rename_pipe
         """
         if old_name not in self.component_names:
             raise ValueError(
@@ -916,7 +916,7 @@ class Language:
         name (str): Name of the component to remove.
         RETURNS (tuple): A `(name, component)` tuple of the removed component.
 
-        DOCS: https://nightly.spacy.io/api/language#remove_pipe
+        DOCS: https://spacy.io/api/language#remove_pipe
         """
         if name not in self.component_names:
             raise ValueError(Errors.E001.format(name=name, opts=self.component_names))
@@ -972,7 +972,7 @@ class Language:
             keyword arguments for specific components.
         RETURNS (Doc): A container for accessing the annotations.
 
-        DOCS: https://nightly.spacy.io/api/language#call
+        DOCS: https://spacy.io/api/language#call
         """
         doc = self.make_doc(text)
         if component_cfg is None:
@@ -1023,7 +1023,7 @@ class Language:
         disable (str or iterable): The name(s) of the pipes to disable
         enable (str or iterable): The name(s) of the pipes to enable - all others will be disabled
 
-        DOCS: https://nightly.spacy.io/api/language#select_pipes
+        DOCS: https://spacy.io/api/language#select_pipes
         """
         if enable is None and disable is None:
             raise ValueError(Errors.E991)
@@ -1081,7 +1081,7 @@ class Language:
         exclude (Iterable[str]): Names of components that shouldn't be updated.
         RETURNS (Dict[str, float]): The updated losses dictionary
 
-        DOCS: https://nightly.spacy.io/api/language#update
+        DOCS: https://spacy.io/api/language#update
         """
         if _ is not None:
             raise ValueError(Errors.E989)
@@ -1144,7 +1144,7 @@ class Language:
             >>>     raw_batch = [Example.from_dict(nlp.make_doc(text), {}) for text in next(raw_text_batches)]
             >>>     nlp.rehearse(raw_batch)
 
-        DOCS: https://nightly.spacy.io/api/language#rehearse
+        DOCS: https://spacy.io/api/language#rehearse
         """
         if len(examples) == 0:
             return
@@ -1199,7 +1199,7 @@ class Language:
             provided, will be created using the .create_optimizer() method.
         RETURNS (thinc.api.Optimizer): The optimizer.
 
-        DOCS: https://nightly.spacy.io/api/language#initialize
+        DOCS: https://spacy.io/api/language#initialize
         """
         if get_examples is None:
             util.logger.debug(
@@ -1266,7 +1266,7 @@ class Language:
 
         RETURNS (Optimizer): The optimizer.
 
-        DOCS: https://nightly.spacy.io/api/language#resume_training
+        DOCS: https://spacy.io/api/language#resume_training
         """
         ops = get_current_ops()
         if self.vocab.vectors.data.shape[1] >= 1:
@@ -1293,7 +1293,7 @@ class Language:
             Function that deals with a failing batch of documents. This callable function should take in
             the component's name, the component itself, the offending batch of documents, and the exception
             that was thrown.
-        DOCS: https://nightly.spacy.io/api/language#set_error_handler
+        DOCS: https://spacy.io/api/language#set_error_handler
         """
         self.default_error_handler = error_handler
         for name, pipe in self.pipeline:
@@ -1322,7 +1322,7 @@ class Language:
 
         RETURNS (Scorer): The scorer containing the evaluation results.
 
-        DOCS: https://nightly.spacy.io/api/language#evaluate
+        DOCS: https://spacy.io/api/language#evaluate
         """
         examples = list(examples)
         validate_examples(examples, "Language.evaluate")
@@ -1377,7 +1377,7 @@ class Language:
             >>> with nlp.use_params(optimizer.averages):
             >>>     nlp.to_disk("/tmp/checkpoint")
 
-        DOCS: https://nightly.spacy.io/api/language#use_params
+        DOCS: https://spacy.io/api/language#use_params
         """
         if not params:
             yield
@@ -1424,7 +1424,7 @@ class Language:
         n_process (int): Number of processors to process texts. If -1, set `multiprocessing.cpu_count()`.
         YIELDS (Doc): Documents in the order of the original text.
 
-        DOCS: https://nightly.spacy.io/api/language#pipe
+        DOCS: https://spacy.io/api/language#pipe
         """
         if n_process == -1:
             n_process = mp.cpu_count()
@@ -1568,7 +1568,7 @@ class Language:
             the types expected by the factory.
         RETURNS (Language): The initialized Language class.
 
-        DOCS: https://nightly.spacy.io/api/language#from_config
+        DOCS: https://spacy.io/api/language#from_config
         """
         if auto_fill:
             config = Config(
@@ -1712,7 +1712,7 @@ class Language:
             either be an empty list to not replace any listeners, or a complete
             (!) list of the paths to all listener layers used by the model.
 
-        DOCS: https://nightly.spacy.io/api/language#replace_listeners
+        DOCS: https://spacy.io/api/language#replace_listeners
         """
         if tok2vec_name not in self.pipe_names:
             err = Errors.E889.format(
@@ -1782,7 +1782,7 @@ class Language:
             it doesn't exist.
         exclude (list): Names of components or serialization fields to exclude.
 
-        DOCS: https://nightly.spacy.io/api/language#to_disk
+        DOCS: https://spacy.io/api/language#to_disk
         """
         path = util.ensure_path(path)
         serializers = {}
@@ -1811,7 +1811,7 @@ class Language:
         exclude (list): Names of components or serialization fields to exclude.
         RETURNS (Language): The modified `Language` object.
 
-        DOCS: https://nightly.spacy.io/api/language#from_disk
+        DOCS: https://spacy.io/api/language#from_disk
         """
 
         def deserialize_meta(path: Path) -> None:
@@ -1859,7 +1859,7 @@ class Language:
         exclude (list): Names of components or serialization fields to exclude.
         RETURNS (bytes): The serialized form of the `Language` object.
 
-        DOCS: https://nightly.spacy.io/api/language#to_bytes
+        DOCS: https://spacy.io/api/language#to_bytes
         """
         serializers = {}
         serializers["vocab"] = lambda: self.vocab.to_bytes()
@@ -1883,7 +1883,7 @@ class Language:
         exclude (list): Names of components or serialization fields to exclude.
         RETURNS (Language): The `Language` object.
 
-        DOCS: https://nightly.spacy.io/api/language#from_bytes
+        DOCS: https://spacy.io/api/language#from_bytes
         """
 
         def deserialize_meta(b):
diff --git a/spacy/lexeme.pyx b/spacy/lexeme.pyx
index 17ce574ce..25461b4b7 100644
--- a/spacy/lexeme.pyx
+++ b/spacy/lexeme.pyx
@@ -30,7 +30,7 @@ cdef class Lexeme:
     tag, dependency parse, or lemma (lemmatization depends on the
     part-of-speech tag).
 
-    DOCS: https://nightly.spacy.io/api/lexeme
+    DOCS: https://spacy.io/api/lexeme
     """
     def __init__(self, Vocab vocab, attr_t orth):
         """Create a Lexeme object.
diff --git a/spacy/lookups.py b/spacy/lookups.py
index 133cb0672..76535d1de 100644
--- a/spacy/lookups.py
+++ b/spacy/lookups.py
@@ -57,7 +57,7 @@ class Table(OrderedDict):
         data (dict): The dictionary.
         name (str): Optional table name for reference.
 
-        DOCS: https://nightly.spacy.io/api/lookups#table.from_dict
+        DOCS: https://spacy.io/api/lookups#table.from_dict
         """
         self = cls(name=name)
         self.update(data)
@@ -69,7 +69,7 @@ class Table(OrderedDict):
         name (str): Optional table name for reference.
         data (dict): Initial data, used to hint Bloom Filter.
 
-        DOCS: https://nightly.spacy.io/api/lookups#table.init
+        DOCS: https://spacy.io/api/lookups#table.init
         """
         OrderedDict.__init__(self)
         self.name = name
@@ -135,7 +135,7 @@ class Table(OrderedDict):
 
         RETURNS (bytes): The serialized table.
 
-        DOCS: https://nightly.spacy.io/api/lookups#table.to_bytes
+        DOCS: https://spacy.io/api/lookups#table.to_bytes
         """
         data = {
             "name": self.name,
@@ -150,7 +150,7 @@ class Table(OrderedDict):
         bytes_data (bytes): The data to load.
         RETURNS (Table): The loaded table.
 
-        DOCS: https://nightly.spacy.io/api/lookups#table.from_bytes
+        DOCS: https://spacy.io/api/lookups#table.from_bytes
         """
         loaded = srsly.msgpack_loads(bytes_data)
         data = loaded.get("dict", {})
@@ -172,7 +172,7 @@ class Lookups:
     def __init__(self) -> None:
         """Initialize the Lookups object.
 
-        DOCS: https://nightly.spacy.io/api/lookups#init
+        DOCS: https://spacy.io/api/lookups#init
         """
         self._tables = {}
 
@@ -201,7 +201,7 @@ class Lookups:
         data (dict): Optional data to add to the table.
         RETURNS (Table): The newly added table.
 
-        DOCS: https://nightly.spacy.io/api/lookups#add_table
+        DOCS: https://spacy.io/api/lookups#add_table
         """
         if name in self.tables:
             raise ValueError(Errors.E158.format(name=name))
@@ -215,7 +215,7 @@ class Lookups:
         name (str): Name of the table to set.
         table (Table): The Table to set.
 
-        DOCS: https://nightly.spacy.io/api/lookups#set_table
+        DOCS: https://spacy.io/api/lookups#set_table
         """
         self._tables[name] = table
 
@@ -227,7 +227,7 @@ class Lookups:
         default (Any): Optional default value to return if table doesn't exist.
         RETURNS (Table): The table.
 
-        DOCS: https://nightly.spacy.io/api/lookups#get_table
+        DOCS: https://spacy.io/api/lookups#get_table
         """
         if name not in self._tables:
             if default == UNSET:
@@ -241,7 +241,7 @@ class Lookups:
         name (str): Name of the table to remove.
         RETURNS (Table): The removed table.
 
-        DOCS: https://nightly.spacy.io/api/lookups#remove_table
+        DOCS: https://spacy.io/api/lookups#remove_table
         """
         if name not in self._tables:
             raise KeyError(Errors.E159.format(name=name, tables=self.tables))
@@ -253,7 +253,7 @@ class Lookups:
         name (str): Name of the table.
         RETURNS (bool): Whether a table of that name exists.
 
-        DOCS: https://nightly.spacy.io/api/lookups#has_table
+        DOCS: https://spacy.io/api/lookups#has_table
         """
         return name in self._tables
 
@@ -262,7 +262,7 @@ class Lookups:
 
         RETURNS (bytes): The serialized Lookups.
 
-        DOCS: https://nightly.spacy.io/api/lookups#to_bytes
+        DOCS: https://spacy.io/api/lookups#to_bytes
         """
         return srsly.msgpack_dumps(self._tables)
 
@@ -272,7 +272,7 @@ class Lookups:
         bytes_data (bytes): The data to load.
         RETURNS (Lookups): The loaded Lookups.
 
-        DOCS: https://nightly.spacy.io/api/lookups#from_bytes
+        DOCS: https://spacy.io/api/lookups#from_bytes
         """
         self._tables = {}
         for key, value in srsly.msgpack_loads(bytes_data).items():
@@ -287,7 +287,7 @@ class Lookups:
 
         path (str / Path): The file path.
 
-        DOCS: https://nightly.spacy.io/api/lookups#to_disk
+        DOCS: https://spacy.io/api/lookups#to_disk
         """
         path = ensure_path(path)
         if not path.exists():
@@ -305,7 +305,7 @@ class Lookups:
         path (str / Path): The directory path.
         RETURNS (Lookups): The loaded lookups.
 
-        DOCS: https://nightly.spacy.io/api/lookups#from_disk
+        DOCS: https://spacy.io/api/lookups#from_disk
         """
         path = ensure_path(path)
         filepath = path / filename
diff --git a/spacy/matcher/matcher.pyx b/spacy/matcher/matcher.pyx
index 803e8edac..ec5d72f9e 100644
--- a/spacy/matcher/matcher.pyx
+++ b/spacy/matcher/matcher.pyx
@@ -32,8 +32,8 @@ DEF PADDING = 5
 cdef class Matcher:
     """Match sequences of tokens, based on pattern rules.
 
-    DOCS: https://nightly.spacy.io/api/matcher
-    USAGE: https://nightly.spacy.io/usage/rule-based-matching
+    DOCS: https://spacy.io/api/matcher
+    USAGE: https://spacy.io/usage/rule-based-matching
     """
 
     def __init__(self, vocab, validate=True):
diff --git a/spacy/matcher/phrasematcher.pyx b/spacy/matcher/phrasematcher.pyx
index fc5c16506..2baf2ffb7 100644
--- a/spacy/matcher/phrasematcher.pyx
+++ b/spacy/matcher/phrasematcher.pyx
@@ -20,8 +20,8 @@ cdef class PhraseMatcher:
     sequences based on lists of token descriptions, the `PhraseMatcher` accepts
     match patterns in the form of `Doc` objects.
 
-    DOCS: https://nightly.spacy.io/api/phrasematcher
-    USAGE: https://nightly.spacy.io/usage/rule-based-matching#phrasematcher
+    DOCS: https://spacy.io/api/phrasematcher
+    USAGE: https://spacy.io/usage/rule-based-matching#phrasematcher
 
     Adapted from FlashText: https://github.com/vi3k6i5/flashtext
     MIT License (see `LICENSE`)
@@ -35,7 +35,7 @@ cdef class PhraseMatcher:
         attr (int / str): Token attribute to match on.
         validate (bool): Perform additional validation when patterns are added.
 
-        DOCS: https://nightly.spacy.io/api/phrasematcher#init
+        DOCS: https://spacy.io/api/phrasematcher#init
         """
         self.vocab = vocab
         self._callbacks = {}
@@ -64,7 +64,7 @@ cdef class PhraseMatcher:
 
         RETURNS (int): The number of rules.
 
-        DOCS: https://nightly.spacy.io/api/phrasematcher#len
+        DOCS: https://spacy.io/api/phrasematcher#len
         """
         return len(self._callbacks)
 
@@ -74,7 +74,7 @@ cdef class PhraseMatcher:
         key (str): The match ID.
         RETURNS (bool): Whether the matcher contains rules for this match ID.
 
-        DOCS: https://nightly.spacy.io/api/phrasematcher#contains
+        DOCS: https://spacy.io/api/phrasematcher#contains
         """
         return key in self._callbacks
 
@@ -88,7 +88,7 @@ cdef class PhraseMatcher:
 
         key (str): The match ID.
 
-        DOCS: https://nightly.spacy.io/api/phrasematcher#remove
+        DOCS: https://spacy.io/api/phrasematcher#remove
         """
         if key not in self._docs:
             raise KeyError(key)
@@ -167,7 +167,7 @@ cdef class PhraseMatcher:
             as variable arguments. Will be ignored if a list of patterns is
             provided as the second argument.
 
-        DOCS: https://nightly.spacy.io/api/phrasematcher#add
+        DOCS: https://spacy.io/api/phrasematcher#add
         """
         if docs is None or hasattr(docs, "__call__"):  # old API
             on_match = docs
@@ -241,7 +241,7 @@ cdef class PhraseMatcher:
             `doc[start:end]`. The `match_id` is an integer. If as_spans is set
             to True, a list of Span objects is returned.
 
-        DOCS: https://nightly.spacy.io/api/phrasematcher#call
+        DOCS: https://spacy.io/api/phrasematcher#call
         """
         matches = []
         if doc is None or len(doc) == 0:
diff --git a/spacy/pipeline/attributeruler.py b/spacy/pipeline/attributeruler.py
index 5e2278b5f..79ec9c993 100644
--- a/spacy/pipeline/attributeruler.py
+++ b/spacy/pipeline/attributeruler.py
@@ -32,7 +32,7 @@ class AttributeRuler(Pipe):
     """Set token-level attributes for tokens matched by Matcher patterns.
     Additionally supports importing patterns from tag maps and morph rules.
 
-    DOCS: https://nightly.spacy.io/api/attributeruler
+    DOCS: https://spacy.io/api/attributeruler
     """
 
     def __init__(
@@ -48,7 +48,7 @@ class AttributeRuler(Pipe):
 
         RETURNS (AttributeRuler): The AttributeRuler component.
 
-        DOCS: https://nightly.spacy.io/api/attributeruler#init
+        DOCS: https://spacy.io/api/attributeruler#init
         """
         self.name = name
         self.vocab = vocab
@@ -94,7 +94,7 @@ class AttributeRuler(Pipe):
         doc (Doc): The document to process.
         RETURNS (Doc): The processed Doc.
 
-        DOCS: https://nightly.spacy.io/api/attributeruler#call
+        DOCS: https://spacy.io/api/attributeruler#call
         """
         error_handler = self.get_error_handler()
         try:
@@ -143,7 +143,7 @@ class AttributeRuler(Pipe):
         tag_map (dict): The tag map that maps fine-grained tags to
             coarse-grained tags and morphological features.
 
-        DOCS: https://nightly.spacy.io/api/attributeruler#load_from_morph_rules
+        DOCS: https://spacy.io/api/attributeruler#load_from_morph_rules
         """
         for tag, attrs in tag_map.items():
             pattern = [{"TAG": tag}]
@@ -165,7 +165,7 @@ class AttributeRuler(Pipe):
             fine-grained tags to coarse-grained tags, lemmas and morphological
             features.
 
-        DOCS: https://nightly.spacy.io/api/attributeruler#load_from_morph_rules
+        DOCS: https://spacy.io/api/attributeruler#load_from_morph_rules
         """
         for tag in morph_rules:
             for word in morph_rules[tag]:
@@ -193,7 +193,7 @@ class AttributeRuler(Pipe):
         index (int): The index of the token in the matched span to modify. May
             be negative to index from the end of the span. Defaults to 0.
 
-        DOCS: https://nightly.spacy.io/api/attributeruler#add
+        DOCS: https://spacy.io/api/attributeruler#add
         """
         # We need to make a string here, because otherwise the ID we pass back
         # will be interpreted as the hash of a string, rather than an ordinal.
@@ -211,7 +211,7 @@ class AttributeRuler(Pipe):
             as the arguments to AttributeRuler.add (patterns/attrs/index) to
             add as patterns.
 
-        DOCS: https://nightly.spacy.io/api/attributeruler#add_patterns
+        DOCS: https://spacy.io/api/attributeruler#add_patterns
         """
         for p in patterns:
             self.add(**p)
@@ -236,7 +236,7 @@ class AttributeRuler(Pipe):
             Scorer.score_token_attr for the attributes "tag", "pos", "morph"
             and "lemma" for the target token attributes.
 
-        DOCS: https://nightly.spacy.io/api/tagger#score
+        DOCS: https://spacy.io/api/tagger#score
         """
 
         def morph_key_getter(token, attr):
@@ -273,7 +273,7 @@ class AttributeRuler(Pipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         RETURNS (bytes): The serialized object.
 
-        DOCS: https://nightly.spacy.io/api/attributeruler#to_bytes
+        DOCS: https://spacy.io/api/attributeruler#to_bytes
         """
         serialize = {}
         serialize["vocab"] = self.vocab.to_bytes
@@ -289,7 +289,7 @@ class AttributeRuler(Pipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         returns (AttributeRuler): The loaded object.
 
-        DOCS: https://nightly.spacy.io/api/attributeruler#from_bytes
+        DOCS: https://spacy.io/api/attributeruler#from_bytes
         """
 
         def load_patterns(b):
@@ -310,7 +310,7 @@ class AttributeRuler(Pipe):
         path (Union[Path, str]): A path to a directory.
         exclude (Iterable[str]): String names of serialization fields to exclude.
 
-        DOCS: https://nightly.spacy.io/api/attributeruler#to_disk
+        DOCS: https://spacy.io/api/attributeruler#to_disk
         """
         serialize = {
             "vocab": lambda p: self.vocab.to_disk(p),
@@ -327,7 +327,7 @@ class AttributeRuler(Pipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         RETURNS (AttributeRuler): The loaded object.
 
-        DOCS: https://nightly.spacy.io/api/attributeruler#from_disk
+        DOCS: https://spacy.io/api/attributeruler#from_disk
         """
 
         def load_patterns(p):
diff --git a/spacy/pipeline/dep_parser.pyx b/spacy/pipeline/dep_parser.pyx
index 063b4c04f..7290c4637 100644
--- a/spacy/pipeline/dep_parser.pyx
+++ b/spacy/pipeline/dep_parser.pyx
@@ -202,7 +202,7 @@ def make_beam_parser(
 cdef class DependencyParser(Parser):
     """Pipeline component for dependency parsing.
 
-    DOCS: https://nightly.spacy.io/api/dependencyparser
+    DOCS: https://spacy.io/api/dependencyparser
     """
     TransitionSystem = ArcEager
 
@@ -243,7 +243,7 @@ cdef class DependencyParser(Parser):
         RETURNS (Dict[str, Any]): The scores, produced by Scorer.score_spans
             and Scorer.score_deps.
 
-        DOCS: https://nightly.spacy.io/api/dependencyparser#score
+        DOCS: https://spacy.io/api/dependencyparser#score
         """
         def has_sents(doc):
             return doc.has_annotation("SENT_START")
diff --git a/spacy/pipeline/entity_linker.py b/spacy/pipeline/entity_linker.py
index 5f4420233..6ea735dde 100644
--- a/spacy/pipeline/entity_linker.py
+++ b/spacy/pipeline/entity_linker.py
@@ -94,7 +94,7 @@ def make_entity_linker(
 class EntityLinker(TrainablePipe):
     """Pipeline component for named entity linking.
 
-    DOCS: https://nightly.spacy.io/api/entitylinker
+    DOCS: https://spacy.io/api/entitylinker
     """
 
     NIL = "NIL"  # string used to refer to a non-existing link
@@ -124,7 +124,7 @@ class EntityLinker(TrainablePipe):
         get_candidates (Callable[[KnowledgeBase, "Span"], Iterable[Candidate]]): Function that
             produces a list of candidates, given a certain knowledge base and a textual mention.
 
-        DOCS: https://nightly.spacy.io/api/entitylinker#init
+        DOCS: https://spacy.io/api/entitylinker#init
         """
         self.vocab = vocab
         self.model = model
@@ -171,7 +171,7 @@ class EntityLinker(TrainablePipe):
             Note that providing this argument, will overwrite all data accumulated in the current KB.
             Use this only when loading a KB as-such from file.
 
-        DOCS: https://nightly.spacy.io/api/entitylinker#initialize
+        DOCS: https://spacy.io/api/entitylinker#initialize
         """
         validate_get_examples(get_examples, "EntityLinker.initialize")
         if kb_loader is not None:
@@ -207,7 +207,7 @@ class EntityLinker(TrainablePipe):
             Updated using the component name as the key.
         RETURNS (Dict[str, float]): The updated losses dictionary.
 
-        DOCS: https://nightly.spacy.io/api/entitylinker#update
+        DOCS: https://spacy.io/api/entitylinker#update
         """
         self.validate_kb()
         if losses is None:
@@ -283,7 +283,7 @@ class EntityLinker(TrainablePipe):
         docs (Iterable[Doc]): The documents to predict.
         RETURNS (List[int]): The models prediction for each document.
 
-        DOCS: https://nightly.spacy.io/api/entitylinker#predict
+        DOCS: https://spacy.io/api/entitylinker#predict
         """
         self.validate_kb()
         entity_count = 0
@@ -380,7 +380,7 @@ class EntityLinker(TrainablePipe):
         docs (Iterable[Doc]): The documents to modify.
         kb_ids (List[str]): The IDs to set, produced by EntityLinker.predict.
 
-        DOCS: https://nightly.spacy.io/api/entitylinker#set_annotations
+        DOCS: https://spacy.io/api/entitylinker#set_annotations
         """
         count_ents = len([ent for doc in docs for ent in doc.ents])
         if count_ents != len(kb_ids):
@@ -399,7 +399,7 @@ class EntityLinker(TrainablePipe):
         examples (Iterable[Example]): The examples to score.
         RETURNS (Dict[str, Any]): The scores.
 
-        DOCS TODO: https://nightly.spacy.io/api/entity_linker#score
+        DOCS TODO: https://spacy.io/api/entity_linker#score
         """
         validate_examples(examples, "EntityLinker.score")
         return Scorer.score_links(examples, negative_labels=[self.NIL])
@@ -412,7 +412,7 @@ class EntityLinker(TrainablePipe):
         path (str / Path): Path to a directory.
         exclude (Iterable[str]): String names of serialization fields to exclude.
 
-        DOCS: https://nightly.spacy.io/api/entitylinker#to_disk
+        DOCS: https://spacy.io/api/entitylinker#to_disk
         """
         serialize = {}
         serialize["vocab"] = lambda p: self.vocab.to_disk(p)
@@ -430,7 +430,7 @@ class EntityLinker(TrainablePipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         RETURNS (EntityLinker): The modified EntityLinker object.
 
-        DOCS: https://nightly.spacy.io/api/entitylinker#from_disk
+        DOCS: https://spacy.io/api/entitylinker#from_disk
         """
 
         def load_model(p):
diff --git a/spacy/pipeline/entityruler.py b/spacy/pipeline/entityruler.py
index d271895bd..25bc3abee 100644
--- a/spacy/pipeline/entityruler.py
+++ b/spacy/pipeline/entityruler.py
@@ -59,8 +59,8 @@ class EntityRuler(Pipe):
     purely rule-based entity recognition system. After initialization, the
     component is typically added to the pipeline using `nlp.add_pipe`.
 
-    DOCS: https://nightly.spacy.io/api/entityruler
-    USAGE: https://nightly.spacy.io/usage/rule-based-matching#entityruler
+    DOCS: https://spacy.io/api/entityruler
+    USAGE: https://spacy.io/usage/rule-based-matching#entityruler
     """
 
     def __init__(
@@ -94,7 +94,7 @@ class EntityRuler(Pipe):
             added by the model, overwrite them by matches if necessary.
         ent_id_sep (str): Separator used internally for entity IDs.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#init
+        DOCS: https://spacy.io/api/entityruler#init
         """
         self.nlp = nlp
         self.name = name
@@ -133,7 +133,7 @@ class EntityRuler(Pipe):
         doc (Doc): The Doc object in the pipeline.
         RETURNS (Doc): The Doc with added entities, if available.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#call
+        DOCS: https://spacy.io/api/entityruler#call
         """
         error_handler = self.get_error_handler()
         try:
@@ -183,7 +183,7 @@ class EntityRuler(Pipe):
 
         RETURNS (set): The string labels.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#labels
+        DOCS: https://spacy.io/api/entityruler#labels
         """
         keys = set(self.token_patterns.keys())
         keys.update(self.phrase_patterns.keys())
@@ -211,7 +211,7 @@ class EntityRuler(Pipe):
         nlp (Language): The current nlp object the component is part of.
         patterns Optional[Iterable[PatternType]]: The list of patterns.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#initialize
+        DOCS: https://spacy.io/api/entityruler#initialize
         """
         self.clear()
         if patterns:
@@ -223,7 +223,7 @@ class EntityRuler(Pipe):
 
         RETURNS (set): The string entity ids.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#ent_ids
+        DOCS: https://spacy.io/api/entityruler#ent_ids
         """
         keys = set(self.token_patterns.keys())
         keys.update(self.phrase_patterns.keys())
@@ -241,7 +241,7 @@ class EntityRuler(Pipe):
 
         RETURNS (list): The original patterns, one dictionary per pattern.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#patterns
+        DOCS: https://spacy.io/api/entityruler#patterns
         """
         all_patterns = []
         for label, patterns in self.token_patterns.items():
@@ -268,7 +268,7 @@ class EntityRuler(Pipe):
 
         patterns (list): The patterns to add.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#add_patterns
+        DOCS: https://spacy.io/api/entityruler#add_patterns
         """
 
         # disable the nlp components after this one in case they hadn't been initialized / deserialised yet
@@ -366,7 +366,7 @@ class EntityRuler(Pipe):
         patterns_bytes (bytes): The bytestring to load.
         RETURNS (EntityRuler): The loaded entity ruler.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#from_bytes
+        DOCS: https://spacy.io/api/entityruler#from_bytes
         """
         cfg = srsly.msgpack_loads(patterns_bytes)
         self.clear()
@@ -388,7 +388,7 @@ class EntityRuler(Pipe):
 
         RETURNS (bytes): The serialized patterns.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#to_bytes
+        DOCS: https://spacy.io/api/entityruler#to_bytes
         """
         serial = {
             "overwrite": self.overwrite,
@@ -407,7 +407,7 @@ class EntityRuler(Pipe):
         path (str / Path): The JSONL file to load.
         RETURNS (EntityRuler): The loaded entity ruler.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#from_disk
+        DOCS: https://spacy.io/api/entityruler#from_disk
         """
         path = ensure_path(path)
         self.clear()
@@ -443,7 +443,7 @@ class EntityRuler(Pipe):
 
         path (str / Path): The JSONL file to save.
 
-        DOCS: https://nightly.spacy.io/api/entityruler#to_disk
+        DOCS: https://spacy.io/api/entityruler#to_disk
         """
         path = ensure_path(path)
         cfg = {
diff --git a/spacy/pipeline/functions.py b/spacy/pipeline/functions.py
index b233d1623..cf8baf9da 100644
--- a/spacy/pipeline/functions.py
+++ b/spacy/pipeline/functions.py
@@ -18,7 +18,7 @@ def merge_noun_chunks(doc: Doc) -> Doc:
     doc (Doc): The Doc object.
     RETURNS (Doc): The Doc object with merged noun chunks.
 
-    DOCS: https://nightly.spacy.io/api/pipeline-functions#merge_noun_chunks
+    DOCS: https://spacy.io/api/pipeline-functions#merge_noun_chunks
     """
     if not doc.has_annotation("DEP"):
         return doc
@@ -40,7 +40,7 @@ def merge_entities(doc: Doc):
     doc (Doc): The Doc object.
     RETURNS (Doc): The Doc object with merged entities.
 
-    DOCS: https://nightly.spacy.io/api/pipeline-functions#merge_entities
+    DOCS: https://spacy.io/api/pipeline-functions#merge_entities
     """
     with doc.retokenize() as retokenizer:
         for ent in doc.ents:
@@ -57,7 +57,7 @@ def merge_subtokens(doc: Doc, label: str = "subtok") -> Doc:
     label (str): The subtoken dependency label.
     RETURNS (Doc): The Doc object with merged subtokens.
 
-    DOCS: https://nightly.spacy.io/api/pipeline-functions#merge_subtokens
+    DOCS: https://spacy.io/api/pipeline-functions#merge_subtokens
     """
     # TODO: make stateful component with "label" config
     merger = Matcher(doc.vocab)
diff --git a/spacy/pipeline/lemmatizer.py b/spacy/pipeline/lemmatizer.py
index 07d5b4af1..21f1a8a8b 100644
--- a/spacy/pipeline/lemmatizer.py
+++ b/spacy/pipeline/lemmatizer.py
@@ -32,7 +32,7 @@ class Lemmatizer(Pipe):
     The Lemmatizer supports simple part-of-speech-sensitive suffix rules and
     lookup tables.
 
-    DOCS: https://nightly.spacy.io/api/lemmatizer
+    DOCS: https://spacy.io/api/lemmatizer
     """
 
     @classmethod
@@ -68,7 +68,7 @@ class Lemmatizer(Pipe):
         overwrite (bool): Whether to overwrite existing lemmas. Defaults to
             `False`.
 
-        DOCS: https://nightly.spacy.io/api/lemmatizer#init
+        DOCS: https://spacy.io/api/lemmatizer#init
         """
         self.vocab = vocab
         self.model = model
@@ -98,7 +98,7 @@ class Lemmatizer(Pipe):
         doc (Doc): The Doc to process.
         RETURNS (Doc): The processed Doc.
 
-        DOCS: https://nightly.spacy.io/api/lemmatizer#call
+        DOCS: https://spacy.io/api/lemmatizer#call
         """
         if not self._validated:
             self._validate_tables(Errors.E1004)
@@ -159,7 +159,7 @@ class Lemmatizer(Pipe):
         token (Token): The token to lemmatize.
         RETURNS (list): The available lemmas for the string.
 
-        DOCS: https://nightly.spacy.io/api/lemmatizer#lookup_lemmatize
+        DOCS: https://spacy.io/api/lemmatizer#lookup_lemmatize
         """
         lookup_table = self.lookups.get_table("lemma_lookup", {})
         result = lookup_table.get(token.text, token.text)
@@ -173,7 +173,7 @@ class Lemmatizer(Pipe):
         token (Token): The token to lemmatize.
         RETURNS (list): The available lemmas for the string.
 
-        DOCS: https://nightly.spacy.io/api/lemmatizer#rule_lemmatize
+        DOCS: https://spacy.io/api/lemmatizer#rule_lemmatize
         """
         cache_key = (token.orth, token.pos, token.morph)
         if cache_key in self.cache:
@@ -241,7 +241,7 @@ class Lemmatizer(Pipe):
         token (Token): The token.
         RETURNS (bool): Whether the token is a base form.
 
-        DOCS: https://nightly.spacy.io/api/lemmatizer#is_base_form
+        DOCS: https://spacy.io/api/lemmatizer#is_base_form
         """
         return False
 
@@ -251,7 +251,7 @@ class Lemmatizer(Pipe):
         examples (Iterable[Example]): The examples to score.
         RETURNS (Dict[str, Any]): The scores.
 
-        DOCS: https://nightly.spacy.io/api/lemmatizer#score
+        DOCS: https://spacy.io/api/lemmatizer#score
         """
         validate_examples(examples, "Lemmatizer.score")
         return Scorer.score_token_attr(examples, "lemma", **kwargs)
@@ -264,7 +264,7 @@ class Lemmatizer(Pipe):
         path (str / Path): Path to a directory.
         exclude (Iterable[str]): String names of serialization fields to exclude.
 
-        DOCS: https://nightly.spacy.io/api/lemmatizer#to_disk
+        DOCS: https://spacy.io/api/lemmatizer#to_disk
         """
         serialize = {}
         serialize["vocab"] = lambda p: self.vocab.to_disk(p)
@@ -280,7 +280,7 @@ class Lemmatizer(Pipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         RETURNS (Lemmatizer): The modified Lemmatizer object.
 
-        DOCS: https://nightly.spacy.io/api/lemmatizer#from_disk
+        DOCS: https://spacy.io/api/lemmatizer#from_disk
         """
         deserialize = {}
         deserialize["vocab"] = lambda p: self.vocab.from_disk(p)
@@ -295,7 +295,7 @@ class Lemmatizer(Pipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         RETURNS (bytes): The serialized object.
 
-        DOCS: https://nightly.spacy.io/api/lemmatizer#to_bytes
+        DOCS: https://spacy.io/api/lemmatizer#to_bytes
         """
         serialize = {}
         serialize["vocab"] = self.vocab.to_bytes
@@ -311,7 +311,7 @@ class Lemmatizer(Pipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         RETURNS (Lemmatizer): The loaded Lemmatizer.
 
-        DOCS: https://nightly.spacy.io/api/lemmatizer#from_bytes
+        DOCS: https://spacy.io/api/lemmatizer#from_bytes
         """
         deserialize = {}
         deserialize["vocab"] = lambda b: self.vocab.from_bytes(b)
diff --git a/spacy/pipeline/morphologizer.pyx b/spacy/pipeline/morphologizer.pyx
index 7751f398a..38da71ec7 100644
--- a/spacy/pipeline/morphologizer.pyx
+++ b/spacy/pipeline/morphologizer.pyx
@@ -75,7 +75,7 @@ class Morphologizer(Tagger):
         name (str): The component instance name, used to add entries to the
             losses during training.
 
-        DOCS: https://nightly.spacy.io/api/morphologizer#init
+        DOCS: https://spacy.io/api/morphologizer#init
         """
         self.vocab = vocab
         self.model = model
@@ -104,7 +104,7 @@ class Morphologizer(Tagger):
         label (str): The label to add.
         RETURNS (int): 0 if label is already present, otherwise 1.
 
-        DOCS: https://nightly.spacy.io/api/morphologizer#add_label
+        DOCS: https://spacy.io/api/morphologizer#add_label
         """
         if not isinstance(label, str):
             raise ValueError(Errors.E187)
@@ -134,7 +134,7 @@ class Morphologizer(Tagger):
             returns a representative sample of gold-standard Example objects.
         nlp (Language): The current nlp object the component is part of.
 
-        DOCS: https://nightly.spacy.io/api/morphologizer#initialize
+        DOCS: https://spacy.io/api/morphologizer#initialize
         """
         validate_get_examples(get_examples, "Morphologizer.initialize")
         if labels is not None:
@@ -185,7 +185,7 @@ class Morphologizer(Tagger):
         docs (Iterable[Doc]): The documents to modify.
         batch_tag_ids: The IDs to set, produced by Morphologizer.predict.
 
-        DOCS: https://nightly.spacy.io/api/morphologizer#set_annotations
+        DOCS: https://spacy.io/api/morphologizer#set_annotations
         """
         if isinstance(docs, Doc):
             docs = [docs]
@@ -208,7 +208,7 @@ class Morphologizer(Tagger):
         scores: Scores representing the model's predictions.
         RETURNS (Tuple[float, float]): The loss and the gradient.
 
-        DOCS: https://nightly.spacy.io/api/morphologizer#get_loss
+        DOCS: https://spacy.io/api/morphologizer#get_loss
         """
         validate_examples(examples, "Morphologizer.get_loss")
         loss_func = SequenceCategoricalCrossentropy(names=self.labels, normalize=False)
@@ -254,7 +254,7 @@ class Morphologizer(Tagger):
             Scorer.score_token_attr for the attributes "pos" and "morph" and
             Scorer.score_token_attr_per_feat for the attribute "morph".
 
-        DOCS: https://nightly.spacy.io/api/morphologizer#score
+        DOCS: https://spacy.io/api/morphologizer#score
         """
         def morph_key_getter(token, attr):
             return getattr(token, attr).key
diff --git a/spacy/pipeline/ner.pyx b/spacy/pipeline/ner.pyx
index 0dfb055d3..3a2151b01 100644
--- a/spacy/pipeline/ner.pyx
+++ b/spacy/pipeline/ner.pyx
@@ -163,7 +163,7 @@ def make_beam_ner(
 cdef class EntityRecognizer(Parser):
     """Pipeline component for named entity recognition.
 
-    DOCS: https://nightly.spacy.io/api/entityrecognizer
+    DOCS: https://spacy.io/api/entityrecognizer
     """
     TransitionSystem = BiluoPushDown
 
@@ -194,7 +194,7 @@ cdef class EntityRecognizer(Parser):
         examples (Iterable[Example]): The examples to score.
         RETURNS (Dict[str, Any]): The NER precision, recall and f-scores.
 
-        DOCS: https://nightly.spacy.io/api/entityrecognizer#score
+        DOCS: https://spacy.io/api/entityrecognizer#score
         """
         validate_examples(examples, "EntityRecognizer.score")
         return get_ner_prf(examples)
diff --git a/spacy/pipeline/pipe.pyx b/spacy/pipeline/pipe.pyx
index 06d1bd379..0d298ce4f 100644
--- a/spacy/pipeline/pipe.pyx
+++ b/spacy/pipeline/pipe.pyx
@@ -16,7 +16,7 @@ cdef class Pipe:
     Trainable pipeline components like the EntityRecognizer or TextCategorizer
     should inherit from the subclass 'TrainablePipe'.
 
-    DOCS: https://nightly.spacy.io/api/pipe
+    DOCS: https://spacy.io/api/pipe
     """
 
     @classmethod
@@ -34,7 +34,7 @@ cdef class Pipe:
         docs (Doc): The Doc to process.
         RETURNS (Doc): The processed Doc.
 
-        DOCS: https://nightly.spacy.io/api/pipe#call
+        DOCS: https://spacy.io/api/pipe#call
         """
         raise NotImplementedError(Errors.E931.format(parent="Pipe", method="__call__", name=self.name))
 
@@ -47,7 +47,7 @@ cdef class Pipe:
         batch_size (int): The number of documents to buffer.
         YIELDS (Doc): Processed documents in order.
 
-        DOCS: https://nightly.spacy.io/api/pipe#pipe
+        DOCS: https://spacy.io/api/pipe#pipe
         """
         error_handler = self.get_error_handler()
         for doc in stream:
@@ -69,7 +69,7 @@ cdef class Pipe:
             returns a representative sample of gold-standard Example objects.
         nlp (Language): The current nlp object the component is part of.
 
-        DOCS: https://nightly.spacy.io/api/pipe#initialize
+        DOCS: https://spacy.io/api/pipe#initialize
         """
         pass
 
@@ -79,7 +79,7 @@ cdef class Pipe:
         examples (Iterable[Example]): The examples to score.
         RETURNS (Dict[str, Any]): The scores.
 
-        DOCS: https://nightly.spacy.io/api/pipe#score
+        DOCS: https://spacy.io/api/pipe#score
         """
         return {}
 
@@ -111,7 +111,7 @@ cdef class Pipe:
             the component's name, the component itself, the offending batch of documents, and the exception
             that was thrown.
 
-        DOCS: https://nightly.spacy.io/api/pipe#set_error_handler
+        DOCS: https://spacy.io/api/pipe#set_error_handler
         """
         self.error_handler = error_handler
 
@@ -120,7 +120,7 @@ cdef class Pipe:
 
         RETURNS (Callable): The error handler, or if it's not set a default function that just reraises.
 
-        DOCS: https://nightly.spacy.io/api/pipe#get_error_handler
+        DOCS: https://spacy.io/api/pipe#get_error_handler
         """
         if hasattr(self, "error_handler"):
             return self.error_handler
diff --git a/spacy/pipeline/sentencizer.pyx b/spacy/pipeline/sentencizer.pyx
index f713b2bde..b10cdd8e8 100644
--- a/spacy/pipeline/sentencizer.pyx
+++ b/spacy/pipeline/sentencizer.pyx
@@ -26,7 +26,7 @@ def make_sentencizer(
 class Sentencizer(Pipe):
     """Segment the Doc into sentences using a rule-based strategy.
 
-    DOCS: https://nightly.spacy.io/api/sentencizer
+    DOCS: https://spacy.io/api/sentencizer
     """
 
     default_punct_chars = ['!', '.', '?', '։', '؟', '۔', '܀', '܁', '܂', '߹',
@@ -48,7 +48,7 @@ class Sentencizer(Pipe):
             serialized with the nlp object.
         RETURNS (Sentencizer): The sentencizer component.
 
-        DOCS: https://nightly.spacy.io/api/sentencizer#init
+        DOCS: https://spacy.io/api/sentencizer#init
         """
         self.name = name
         if punct_chars:
@@ -62,7 +62,7 @@ class Sentencizer(Pipe):
         doc (Doc): The document to process.
         RETURNS (Doc): The processed Doc.
 
-        DOCS: https://nightly.spacy.io/api/sentencizer#call
+        DOCS: https://spacy.io/api/sentencizer#call
         """
         error_handler = self.get_error_handler()
         try:
@@ -142,7 +142,7 @@ class Sentencizer(Pipe):
         examples (Iterable[Example]): The examples to score.
         RETURNS (Dict[str, Any]): The scores, produced by Scorer.score_spans.
 
-        DOCS: https://nightly.spacy.io/api/sentencizer#score
+        DOCS: https://spacy.io/api/sentencizer#score
         """
         def has_sents(doc):
             return doc.has_annotation("SENT_START")
@@ -157,7 +157,7 @@ class Sentencizer(Pipe):
 
         RETURNS (bytes): The serialized object.
 
-        DOCS: https://nightly.spacy.io/api/sentencizer#to_bytes
+        DOCS: https://spacy.io/api/sentencizer#to_bytes
         """
         return srsly.msgpack_dumps({"punct_chars": list(self.punct_chars)})
 
@@ -167,7 +167,7 @@ class Sentencizer(Pipe):
         bytes_data (bytes): The data to load.
         returns (Sentencizer): The loaded object.
 
-        DOCS: https://nightly.spacy.io/api/sentencizer#from_bytes
+        DOCS: https://spacy.io/api/sentencizer#from_bytes
         """
         cfg = srsly.msgpack_loads(bytes_data)
         self.punct_chars = set(cfg.get("punct_chars", self.default_punct_chars))
@@ -176,7 +176,7 @@ class Sentencizer(Pipe):
     def to_disk(self, path, *, exclude=tuple()):
         """Serialize the sentencizer to disk.
 
-        DOCS: https://nightly.spacy.io/api/sentencizer#to_disk
+        DOCS: https://spacy.io/api/sentencizer#to_disk
         """
         path = util.ensure_path(path)
         path = path.with_suffix(".json")
@@ -186,7 +186,7 @@ class Sentencizer(Pipe):
     def from_disk(self, path, *, exclude=tuple()):
         """Load the sentencizer from disk.
 
-        DOCS: https://nightly.spacy.io/api/sentencizer#from_disk
+        DOCS: https://spacy.io/api/sentencizer#from_disk
         """
         path = util.ensure_path(path)
         path = path.with_suffix(".json")
diff --git a/spacy/pipeline/senter.pyx b/spacy/pipeline/senter.pyx
index ad777ea58..c03ec0462 100644
--- a/spacy/pipeline/senter.pyx
+++ b/spacy/pipeline/senter.pyx
@@ -44,7 +44,7 @@ def make_senter(nlp: Language, name: str, model: Model):
 class SentenceRecognizer(Tagger):
     """Pipeline component for sentence segmentation.
 
-    DOCS: https://nightly.spacy.io/api/sentencerecognizer
+    DOCS: https://spacy.io/api/sentencerecognizer
     """
     def __init__(self, vocab, model, name="senter"):
         """Initialize a sentence recognizer.
@@ -54,7 +54,7 @@ class SentenceRecognizer(Tagger):
         name (str): The component instance name, used to add entries to the
             losses during training.
 
-        DOCS: https://nightly.spacy.io/api/sentencerecognizer#init
+        DOCS: https://spacy.io/api/sentencerecognizer#init
         """
         self.vocab = vocab
         self.model = model
@@ -80,7 +80,7 @@ class SentenceRecognizer(Tagger):
         docs (Iterable[Doc]): The documents to modify.
         batch_tag_ids: The IDs to set, produced by SentenceRecognizer.predict.
 
-        DOCS: https://nightly.spacy.io/api/sentencerecognizer#set_annotations
+        DOCS: https://spacy.io/api/sentencerecognizer#set_annotations
         """
         if isinstance(docs, Doc):
             docs = [docs]
@@ -105,7 +105,7 @@ class SentenceRecognizer(Tagger):
         scores: Scores representing the model's predictions.
         RETURNS (Tuple[float, float]): The loss and the gradient.
 
-        DOCS: https://nightly.spacy.io/api/sentencerecognizer#get_loss
+        DOCS: https://spacy.io/api/sentencerecognizer#get_loss
         """
         validate_examples(examples, "SentenceRecognizer.get_loss")
         labels = self.labels
@@ -135,7 +135,7 @@ class SentenceRecognizer(Tagger):
             returns a representative sample of gold-standard Example objects.
         nlp (Language): The current nlp object the component is part of.
 
-        DOCS: https://nightly.spacy.io/api/sentencerecognizer#initialize
+        DOCS: https://spacy.io/api/sentencerecognizer#initialize
         """
         validate_get_examples(get_examples, "SentenceRecognizer.initialize")
         doc_sample = []
@@ -158,7 +158,7 @@ class SentenceRecognizer(Tagger):
 
         examples (Iterable[Example]): The examples to score.
         RETURNS (Dict[str, Any]): The scores, produced by Scorer.score_spans.
-        DOCS: https://nightly.spacy.io/api/sentencerecognizer#score
+        DOCS: https://spacy.io/api/sentencerecognizer#score
         """
         def has_sents(doc):
             return doc.has_annotation("SENT_START")
diff --git a/spacy/pipeline/tagger.pyx b/spacy/pipeline/tagger.pyx
index 2bc462ff8..204308dcc 100644
--- a/spacy/pipeline/tagger.pyx
+++ b/spacy/pipeline/tagger.pyx
@@ -58,7 +58,7 @@ def make_tagger(nlp: Language, name: str, model: Model):
 class Tagger(TrainablePipe):
     """Pipeline component for part-of-speech tagging.
 
-    DOCS: https://nightly.spacy.io/api/tagger
+    DOCS: https://spacy.io/api/tagger
     """
     def __init__(self, vocab, model, name="tagger"):
         """Initialize a part-of-speech tagger.
@@ -68,7 +68,7 @@ class Tagger(TrainablePipe):
         name (str): The component instance name, used to add entries to the
             losses during training.
 
-        DOCS: https://nightly.spacy.io/api/tagger#init
+        DOCS: https://spacy.io/api/tagger#init
         """
         self.vocab = vocab
         self.model = model
@@ -85,7 +85,7 @@ class Tagger(TrainablePipe):
 
         RETURNS (Tuple[str]): The labels.
 
-        DOCS: https://nightly.spacy.io/api/tagger#labels
+        DOCS: https://spacy.io/api/tagger#labels
         """
         return tuple(self.cfg["labels"])
 
@@ -100,7 +100,7 @@ class Tagger(TrainablePipe):
         docs (Iterable[Doc]): The documents to predict.
         RETURNS: The models prediction for each document.
 
-        DOCS: https://nightly.spacy.io/api/tagger#predict
+        DOCS: https://spacy.io/api/tagger#predict
         """
         if not any(len(doc) for doc in docs):
             # Handle cases where there are no tokens in any docs.
@@ -129,7 +129,7 @@ class Tagger(TrainablePipe):
         docs (Iterable[Doc]): The documents to modify.
         batch_tag_ids: The IDs to set, produced by Tagger.predict.
 
-        DOCS: https://nightly.spacy.io/api/tagger#set_annotations
+        DOCS: https://spacy.io/api/tagger#set_annotations
         """
         if isinstance(docs, Doc):
             docs = [docs]
@@ -155,7 +155,7 @@ class Tagger(TrainablePipe):
             Updated using the component name as the key.
         RETURNS (Dict[str, float]): The updated losses dictionary.
 
-        DOCS: https://nightly.spacy.io/api/tagger#update
+        DOCS: https://spacy.io/api/tagger#update
         """
         if losses is None:
             losses = {}
@@ -190,7 +190,7 @@ class Tagger(TrainablePipe):
             Updated using the component name as the key.
         RETURNS (Dict[str, float]): The updated losses dictionary.
 
-        DOCS: https://nightly.spacy.io/api/tagger#rehearse
+        DOCS: https://spacy.io/api/tagger#rehearse
         """
         if losses is None:
             losses = {}
@@ -219,7 +219,7 @@ class Tagger(TrainablePipe):
         scores: Scores representing the model's predictions.
         RETURNS (Tuple[float, float]): The loss and the gradient.
 
-        DOCS: https://nightly.spacy.io/api/tagger#get_loss
+        DOCS: https://spacy.io/api/tagger#get_loss
         """
         validate_examples(examples, "Tagger.get_loss")
         loss_func = SequenceCategoricalCrossentropy(names=self.labels, normalize=False)
@@ -246,7 +246,7 @@ class Tagger(TrainablePipe):
             `init labels` command. If no labels are provided, the get_examples
             callback is used to extract the labels from the data.
 
-        DOCS: https://nightly.spacy.io/api/tagger#initialize
+        DOCS: https://spacy.io/api/tagger#initialize
         """
         validate_get_examples(get_examples, "Tagger.initialize")
         if labels is not None:
@@ -278,7 +278,7 @@ class Tagger(TrainablePipe):
         label (str): The label to add.
         RETURNS (int): 0 if label is already present, otherwise 1.
 
-        DOCS: https://nightly.spacy.io/api/tagger#add_label
+        DOCS: https://spacy.io/api/tagger#add_label
         """
         if not isinstance(label, str):
             raise ValueError(Errors.E187)
@@ -296,7 +296,7 @@ class Tagger(TrainablePipe):
         RETURNS (Dict[str, Any]): The scores, produced by
             Scorer.score_token_attr for the attributes "tag".
 
-        DOCS: https://nightly.spacy.io/api/tagger#score
+        DOCS: https://spacy.io/api/tagger#score
         """
         validate_examples(examples, "Tagger.score")
         return Scorer.score_token_attr(examples, "tag", **kwargs)
diff --git a/spacy/pipeline/textcat.py b/spacy/pipeline/textcat.py
index d9f0fb90f..a16508865 100644
--- a/spacy/pipeline/textcat.py
+++ b/spacy/pipeline/textcat.py
@@ -104,7 +104,7 @@ def make_textcat(
 class TextCategorizer(TrainablePipe):
     """Pipeline component for single-label text classification.
 
-    DOCS: https://nightly.spacy.io/api/textcategorizer
+    DOCS: https://spacy.io/api/textcategorizer
     """
 
     def __init__(
@@ -118,7 +118,7 @@ class TextCategorizer(TrainablePipe):
             losses during training.
         threshold (float): Cutoff to consider a prediction "positive".
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#init
+        DOCS: https://spacy.io/api/textcategorizer#init
         """
         self.vocab = vocab
         self.model = model
@@ -131,7 +131,7 @@ class TextCategorizer(TrainablePipe):
     def labels(self) -> Tuple[str]:
         """RETURNS (Tuple[str]): The labels currently added to the component.
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#labels
+        DOCS: https://spacy.io/api/textcategorizer#labels
         """
         return tuple(self.cfg["labels"])
 
@@ -139,7 +139,7 @@ class TextCategorizer(TrainablePipe):
     def label_data(self) -> List[str]:
         """RETURNS (List[str]): Information about the component's labels.
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#label_data
+        DOCS: https://spacy.io/api/textcategorizer#label_data
         """
         return self.labels
 
@@ -149,7 +149,7 @@ class TextCategorizer(TrainablePipe):
         docs (Iterable[Doc]): The documents to predict.
         RETURNS: The models prediction for each document.
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#predict
+        DOCS: https://spacy.io/api/textcategorizer#predict
         """
         if not any(len(doc) for doc in docs):
             # Handle cases where there are no tokens in any docs.
@@ -167,7 +167,7 @@ class TextCategorizer(TrainablePipe):
         docs (Iterable[Doc]): The documents to modify.
         scores: The scores to set, produced by TextCategorizer.predict.
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#set_annotations
+        DOCS: https://spacy.io/api/textcategorizer#set_annotations
         """
         for i, doc in enumerate(docs):
             for j, label in enumerate(self.labels):
@@ -191,7 +191,7 @@ class TextCategorizer(TrainablePipe):
             Updated using the component name as the key.
         RETURNS (Dict[str, float]): The updated losses dictionary.
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#update
+        DOCS: https://spacy.io/api/textcategorizer#update
         """
         if losses is None:
             losses = {}
@@ -230,7 +230,7 @@ class TextCategorizer(TrainablePipe):
             Updated using the component name as the key.
         RETURNS (Dict[str, float]): The updated losses dictionary.
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#rehearse
+        DOCS: https://spacy.io/api/textcategorizer#rehearse
         """
         if losses is not None:
             losses.setdefault(self.name, 0.0)
@@ -275,7 +275,7 @@ class TextCategorizer(TrainablePipe):
         scores: Scores representing the model's predictions.
         RETURNS (Tuple[float, float]): The loss and the gradient.
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#get_loss
+        DOCS: https://spacy.io/api/textcategorizer#get_loss
         """
         validate_examples(examples, "TextCategorizer.get_loss")
         self._validate_categories(examples)
@@ -292,7 +292,7 @@ class TextCategorizer(TrainablePipe):
         label (str): The label to add.
         RETURNS (int): 0 if label is already present, otherwise 1.
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#add_label
+        DOCS: https://spacy.io/api/textcategorizer#add_label
         """
         if not isinstance(label, str):
             raise ValueError(Errors.E187)
@@ -321,7 +321,7 @@ class TextCategorizer(TrainablePipe):
             `init labels` command. If no labels are provided, the get_examples
             callback is used to extract the labels from the data.
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#initialize
+        DOCS: https://spacy.io/api/textcategorizer#initialize
         """
         validate_get_examples(get_examples, "TextCategorizer.initialize")
         self._validate_categories(get_examples())
@@ -354,7 +354,7 @@ class TextCategorizer(TrainablePipe):
         examples (Iterable[Example]): The examples to score.
         RETURNS (Dict[str, Any]): The scores, produced by Scorer.score_cats.
 
-        DOCS: https://nightly.spacy.io/api/textcategorizer#score
+        DOCS: https://spacy.io/api/textcategorizer#score
         """
         validate_examples(examples, "TextCategorizer.score")
         self._validate_categories(examples)
diff --git a/spacy/pipeline/textcat_multilabel.py b/spacy/pipeline/textcat_multilabel.py
index 41c5a1335..3cb0f4567 100644
--- a/spacy/pipeline/textcat_multilabel.py
+++ b/spacy/pipeline/textcat_multilabel.py
@@ -104,7 +104,7 @@ def make_multilabel_textcat(
 class MultiLabel_TextCategorizer(TextCategorizer):
     """Pipeline component for multi-label text classification.
 
-    DOCS: https://nightly.spacy.io/api/multilabel_textcategorizer
+    DOCS: https://spacy.io/api/multilabel_textcategorizer
     """
 
     def __init__(
@@ -123,7 +123,7 @@ class MultiLabel_TextCategorizer(TextCategorizer):
             losses during training.
         threshold (float): Cutoff to consider a prediction "positive".
 
-        DOCS: https://nightly.spacy.io/api/multilabel_textcategorizer#init
+        DOCS: https://spacy.io/api/multilabel_textcategorizer#init
         """
         self.vocab = vocab
         self.model = model
@@ -149,7 +149,7 @@ class MultiLabel_TextCategorizer(TextCategorizer):
             `init labels` command. If no labels are provided, the get_examples
             callback is used to extract the labels from the data.
 
-        DOCS: https://nightly.spacy.io/api/multilabel_textcategorizer#initialize
+        DOCS: https://spacy.io/api/multilabel_textcategorizer#initialize
         """
         validate_get_examples(get_examples, "MultiLabel_TextCategorizer.initialize")
         if labels is None:
@@ -173,7 +173,7 @@ class MultiLabel_TextCategorizer(TextCategorizer):
         examples (Iterable[Example]): The examples to score.
         RETURNS (Dict[str, Any]): The scores, produced by Scorer.score_cats.
 
-        DOCS: https://nightly.spacy.io/api/multilabel_textcategorizer#score
+        DOCS: https://spacy.io/api/multilabel_textcategorizer#score
         """
         validate_examples(examples, "MultiLabel_TextCategorizer.score")
         return Scorer.score_cats(
diff --git a/spacy/pipeline/tok2vec.py b/spacy/pipeline/tok2vec.py
index fecf7029b..87fce2067 100644
--- a/spacy/pipeline/tok2vec.py
+++ b/spacy/pipeline/tok2vec.py
@@ -55,7 +55,7 @@ class Tok2Vec(TrainablePipe):
             a list of Doc objects as input, and output a list of 2d float arrays.
         name (str): The component instance name.
 
-        DOCS: https://nightly.spacy.io/api/tok2vec#init
+        DOCS: https://spacy.io/api/tok2vec#init
         """
         self.vocab = vocab
         self.model = model
@@ -115,7 +115,7 @@ class Tok2Vec(TrainablePipe):
         docs (Iterable[Doc]): The documents to predict.
         RETURNS: Vector representations for each token in the documents.
 
-        DOCS: https://nightly.spacy.io/api/tok2vec#predict
+        DOCS: https://spacy.io/api/tok2vec#predict
         """
         tokvecs = self.model.predict(docs)
         batch_id = Tok2VecListener.get_batch_id(docs)
@@ -129,7 +129,7 @@ class Tok2Vec(TrainablePipe):
         docs (Iterable[Doc]): The documents to modify.
         tokvecses: The tensors to set, produced by Tok2Vec.predict.
 
-        DOCS: https://nightly.spacy.io/api/tok2vec#set_annotations
+        DOCS: https://spacy.io/api/tok2vec#set_annotations
         """
         for doc, tokvecs in zip(docs, tokvecses):
             assert tokvecs.shape[0] == len(doc)
@@ -153,7 +153,7 @@ class Tok2Vec(TrainablePipe):
             Updated using the component name as the key.
         RETURNS (Dict[str, float]): The updated losses dictionary.
 
-        DOCS: https://nightly.spacy.io/api/tok2vec#update
+        DOCS: https://spacy.io/api/tok2vec#update
         """
         if losses is None:
             losses = {}
@@ -204,7 +204,7 @@ class Tok2Vec(TrainablePipe):
             returns a representative sample of gold-standard Example objects.
         nlp (Language): The current nlp object the component is part of.
 
-        DOCS: https://nightly.spacy.io/api/tok2vec#initialize
+        DOCS: https://spacy.io/api/tok2vec#initialize
         """
         validate_get_examples(get_examples, "Tok2Vec.initialize")
         doc_sample = []
diff --git a/spacy/pipeline/trainable_pipe.pyx b/spacy/pipeline/trainable_pipe.pyx
index 5c3d646f7..64e33f800 100644
--- a/spacy/pipeline/trainable_pipe.pyx
+++ b/spacy/pipeline/trainable_pipe.pyx
@@ -20,7 +20,7 @@ cdef class TrainablePipe(Pipe):
     from it and it defines the interface that components should follow to
     function as trainable components in a spaCy pipeline.
 
-    DOCS: https://nightly.spacy.io/api/pipe
+    DOCS: https://spacy.io/api/pipe
     """
     def __init__(self, vocab: Vocab, model: Model, name: str, **cfg):
         """Initialize a pipeline component.
@@ -30,7 +30,7 @@ cdef class TrainablePipe(Pipe):
         name (str): The component instance name.
         **cfg: Additional settings and config parameters.
 
-        DOCS: https://nightly.spacy.io/api/pipe#init
+        DOCS: https://spacy.io/api/pipe#init
         """
         self.vocab = vocab
         self.model = model
@@ -45,7 +45,7 @@ cdef class TrainablePipe(Pipe):
         docs (Doc): The Doc to process.
         RETURNS (Doc): The processed Doc.
 
-        DOCS: https://nightly.spacy.io/api/pipe#call
+        DOCS: https://spacy.io/api/pipe#call
         """
         error_handler = self.get_error_handler()
         try:
@@ -67,7 +67,7 @@ cdef class TrainablePipe(Pipe):
             the exception.
         YIELDS (Doc): Processed documents in order.
 
-        DOCS: https://nightly.spacy.io/api/pipe#pipe
+        DOCS: https://spacy.io/api/pipe#pipe
         """
         error_handler = self.get_error_handler()
         for docs in util.minibatch(stream, size=batch_size):
@@ -85,7 +85,7 @@ cdef class TrainablePipe(Pipe):
         docs (Iterable[Doc]): The documents to predict.
         RETURNS: Vector representations of the predictions.
 
-        DOCS: https://nightly.spacy.io/api/pipe#predict
+        DOCS: https://spacy.io/api/pipe#predict
         """
         raise NotImplementedError(Errors.E931.format(parent="TrainablePipe", method="predict", name=self.name))
 
@@ -95,7 +95,7 @@ cdef class TrainablePipe(Pipe):
         docs (Iterable[Doc]): The documents to modify.
         scores: The scores to assign.
 
-        DOCS: https://nightly.spacy.io/api/pipe#set_annotations
+        DOCS: https://spacy.io/api/pipe#set_annotations
         """
         raise NotImplementedError(Errors.E931.format(parent="TrainablePipe", method="set_annotations", name=self.name))
 
@@ -114,7 +114,7 @@ cdef class TrainablePipe(Pipe):
             Updated using the component name as the key.
         RETURNS (Dict[str, float]): The updated losses dictionary.
 
-        DOCS: https://nightly.spacy.io/api/pipe#update
+        DOCS: https://spacy.io/api/pipe#update
         """
         if losses is None:
             losses = {}
@@ -151,7 +151,7 @@ cdef class TrainablePipe(Pipe):
             Updated using the component name as the key.
         RETURNS (Dict[str, float]): The updated losses dictionary.
 
-        DOCS: https://nightly.spacy.io/api/pipe#rehearse
+        DOCS: https://spacy.io/api/pipe#rehearse
         """
         pass
 
@@ -163,7 +163,7 @@ cdef class TrainablePipe(Pipe):
         scores: Scores representing the model's predictions.
         RETURNS (Tuple[float, float]): The loss and the gradient.
 
-        DOCS: https://nightly.spacy.io/api/pipe#get_loss
+        DOCS: https://spacy.io/api/pipe#get_loss
         """
         raise NotImplementedError(Errors.E931.format(parent="TrainablePipe", method="get_loss", name=self.name))
 
@@ -172,7 +172,7 @@ cdef class TrainablePipe(Pipe):
 
         RETURNS (thinc.api.Optimizer): The optimizer.
 
-        DOCS: https://nightly.spacy.io/api/pipe#create_optimizer
+        DOCS: https://spacy.io/api/pipe#create_optimizer
         """
         return util.create_default_optimizer()
 
@@ -186,7 +186,7 @@ cdef class TrainablePipe(Pipe):
             returns a representative sample of gold-standard Example objects.
         nlp (Language): The current nlp object the component is part of.
 
-        DOCS: https://nightly.spacy.io/api/pipe#initialize
+        DOCS: https://spacy.io/api/pipe#initialize
         """
         raise NotImplementedError(Errors.E931.format(parent="TrainablePipe", method="initialize", name=self.name))
 
@@ -199,7 +199,7 @@ cdef class TrainablePipe(Pipe):
         label (str): The label to add.
         RETURNS (int): 0 if label is already present, otherwise 1.
 
-        DOCS: https://nightly.spacy.io/api/pipe#add_label
+        DOCS: https://spacy.io/api/pipe#add_label
         """
         raise NotImplementedError(Errors.E931.format(parent="Pipe", method="add_label", name=self.name))
 
@@ -229,7 +229,7 @@ cdef class TrainablePipe(Pipe):
 
         params (dict): The parameter values to use in the model.
 
-        DOCS: https://nightly.spacy.io/api/pipe#use_params
+        DOCS: https://spacy.io/api/pipe#use_params
         """
         with self.model.use_params(params):
             yield
@@ -241,7 +241,7 @@ cdef class TrainablePipe(Pipe):
 
         sgd (thinc.api.Optimizer): The optimizer.
 
-        DOCS: https://nightly.spacy.io/api/pipe#finish_update
+        DOCS: https://spacy.io/api/pipe#finish_update
         """
         self.model.finish_update(sgd)
 
@@ -261,7 +261,7 @@ cdef class TrainablePipe(Pipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         RETURNS (bytes): The serialized object.
 
-        DOCS: https://nightly.spacy.io/api/pipe#to_bytes
+        DOCS: https://spacy.io/api/pipe#to_bytes
         """
         self._validate_serialization_attrs()
         serialize = {}
@@ -277,7 +277,7 @@ cdef class TrainablePipe(Pipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         RETURNS (TrainablePipe): The loaded object.
 
-        DOCS: https://nightly.spacy.io/api/pipe#from_bytes
+        DOCS: https://spacy.io/api/pipe#from_bytes
         """
         self._validate_serialization_attrs()
 
@@ -301,7 +301,7 @@ cdef class TrainablePipe(Pipe):
         path (str / Path): Path to a directory.
         exclude (Iterable[str]): String names of serialization fields to exclude.
 
-        DOCS: https://nightly.spacy.io/api/pipe#to_disk
+        DOCS: https://spacy.io/api/pipe#to_disk
         """
         self._validate_serialization_attrs()
         serialize = {}
@@ -318,7 +318,7 @@ cdef class TrainablePipe(Pipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         RETURNS (TrainablePipe): The loaded object.
 
-        DOCS: https://nightly.spacy.io/api/pipe#from_disk
+        DOCS: https://spacy.io/api/pipe#from_disk
         """
         self._validate_serialization_attrs()
 
diff --git a/spacy/scorer.py b/spacy/scorer.py
index cd693cf91..f20a0d786 100644
--- a/spacy/scorer.py
+++ b/spacy/scorer.py
@@ -103,7 +103,7 @@ class Scorer:
     ) -> None:
         """Initialize the Scorer.
 
-        DOCS: https://nightly.spacy.io/api/scorer#init
+        DOCS: https://spacy.io/api/scorer#init
         """
         self.nlp = nlp
         self.cfg = cfg
@@ -119,7 +119,7 @@ class Scorer:
         examples (Iterable[Example]): The predicted annotations + correct annotations.
         RETURNS (Dict): A dictionary of scores.
 
-        DOCS: https://nightly.spacy.io/api/scorer#score
+        DOCS: https://spacy.io/api/scorer#score
         """
         scores = {}
         if hasattr(self.nlp.tokenizer, "score"):
@@ -139,7 +139,7 @@ class Scorer:
         RETURNS (Dict[str, Any]): A dictionary containing the scores
             token_acc/p/r/f.
 
-        DOCS: https://nightly.spacy.io/api/scorer#score_tokenization
+        DOCS: https://spacy.io/api/scorer#score_tokenization
         """
         acc_score = PRFScore()
         prf_score = PRFScore()
@@ -198,7 +198,7 @@ class Scorer:
         RETURNS (Dict[str, Any]): A dictionary containing the accuracy score
             under the key attr_acc.
 
-        DOCS: https://nightly.spacy.io/api/scorer#score_token_attr
+        DOCS: https://spacy.io/api/scorer#score_token_attr
         """
         tag_score = PRFScore()
         for example in examples:
@@ -317,7 +317,7 @@ class Scorer:
         RETURNS (Dict[str, Any]): A dictionary containing the PRF scores under
             the keys attr_p/r/f and the per-type PRF scores under attr_per_type.
 
-        DOCS: https://nightly.spacy.io/api/scorer#score_spans
+        DOCS: https://spacy.io/api/scorer#score_spans
         """
         score = PRFScore()
         score_per_type = dict()
@@ -413,7 +413,7 @@ class Scorer:
                 attr_f_per_type,
                 attr_auc_per_type
 
-        DOCS: https://nightly.spacy.io/api/scorer#score_cats
+        DOCS: https://spacy.io/api/scorer#score_cats
         """
         if threshold is None:
             threshold = 0.5 if multi_label else 0.0
@@ -519,7 +519,7 @@ class Scorer:
         negative_labels (Iterable[str]): The string values that refer to no annotation (e.g. "NIL")
         RETURNS (Dict[str, Any]): A dictionary containing the scores.
 
-        DOCS: https://nightly.spacy.io/api/scorer#score_links
+        DOCS: https://spacy.io/api/scorer#score_links
         """
         f_per_type = {}
         for example in examples:
@@ -603,7 +603,7 @@ class Scorer:
         RETURNS (Dict[str, Any]): A dictionary containing the scores:
             attr_uas, attr_las, and attr_las_per_type.
 
-        DOCS: https://nightly.spacy.io/api/scorer#score_deps
+        DOCS: https://spacy.io/api/scorer#score_deps
         """
         unlabelled = PRFScore()
         labelled = PRFScore()
diff --git a/spacy/strings.pyx b/spacy/strings.pyx
index cd442729c..6a1d68221 100644
--- a/spacy/strings.pyx
+++ b/spacy/strings.pyx
@@ -91,7 +91,7 @@ cdef Utf8Str* _allocate(Pool mem, const unsigned char* chars, uint32_t length) e
 cdef class StringStore:
     """Look up strings by 64-bit hashes.
 
-    DOCS: https://nightly.spacy.io/api/stringstore
+    DOCS: https://spacy.io/api/stringstore
     """
     def __init__(self, strings=None, freeze=False):
         """Create the StringStore.
diff --git a/spacy/tokenizer.pyx b/spacy/tokenizer.pyx
index 40b7edbcb..8c620165e 100644
--- a/spacy/tokenizer.pyx
+++ b/spacy/tokenizer.pyx
@@ -31,7 +31,7 @@ cdef class Tokenizer:
     """Segment text, and create Doc objects with the discovered segment
     boundaries.
 
-    DOCS: https://nightly.spacy.io/api/tokenizer
+    DOCS: https://spacy.io/api/tokenizer
     """
     def __init__(self, Vocab vocab, rules=None, prefix_search=None,
                  suffix_search=None, infix_finditer=None, token_match=None,
@@ -54,7 +54,7 @@ cdef class Tokenizer:
         EXAMPLE:
             >>> tokenizer = Tokenizer(nlp.vocab)
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#init
+        DOCS: https://spacy.io/api/tokenizer#init
         """
         self.mem = Pool()
         self._cache = PreshMap()
@@ -147,7 +147,7 @@ cdef class Tokenizer:
         string (str): The string to tokenize.
         RETURNS (Doc): A container for linguistic annotations.
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#call
+        DOCS: https://spacy.io/api/tokenizer#call
         """
         doc = self._tokenize_affixes(string, True)
         self._apply_special_cases(doc)
@@ -209,7 +209,7 @@ cdef class Tokenizer:
         Defaults to 1000.
         YIELDS (Doc): A sequence of Doc objects, in order.
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#pipe
+        DOCS: https://spacy.io/api/tokenizer#pipe
         """
         for text in texts:
             yield self(text)
@@ -529,7 +529,7 @@ cdef class Tokenizer:
             and `.end()` methods, denoting the placement of internal segment
             separators, e.g. hyphens.
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#find_infix
+        DOCS: https://spacy.io/api/tokenizer#find_infix
         """
         if self.infix_finditer is None:
             return 0
@@ -542,7 +542,7 @@ cdef class Tokenizer:
         string (str): The string to segment.
         RETURNS (int): The length of the prefix if present, otherwise `None`.
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#find_prefix
+        DOCS: https://spacy.io/api/tokenizer#find_prefix
         """
         if self.prefix_search is None:
             return 0
@@ -556,7 +556,7 @@ cdef class Tokenizer:
         string (str): The string to segment.
         Returns (int): The length of the suffix if present, otherwise `None`.
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#find_suffix
+        DOCS: https://spacy.io/api/tokenizer#find_suffix
         """
         if self.suffix_search is None:
             return 0
@@ -596,7 +596,7 @@ cdef class Tokenizer:
             a token and its attributes. The `ORTH` fields of the attributes
             must exactly match the string when they are concatenated.
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#add_special_case
+        DOCS: https://spacy.io/api/tokenizer#add_special_case
         """
         self._validate_special_case(string, substrings)
         substrings = list(substrings)
@@ -635,7 +635,7 @@ cdef class Tokenizer:
         string (str): The string to tokenize.
         RETURNS (list): A list of (pattern_string, token_string) tuples
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#explain
+        DOCS: https://spacy.io/api/tokenizer#explain
         """
         prefix_search = self.prefix_search
         suffix_search = self.suffix_search
@@ -718,7 +718,7 @@ cdef class Tokenizer:
             it doesn't exist.
         exclude (list): String names of serialization fields to exclude.
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#to_disk
+        DOCS: https://spacy.io/api/tokenizer#to_disk
         """
         path = util.ensure_path(path)
         with path.open("wb") as file_:
@@ -732,7 +732,7 @@ cdef class Tokenizer:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (Tokenizer): The modified `Tokenizer` object.
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#from_disk
+        DOCS: https://spacy.io/api/tokenizer#from_disk
         """
         path = util.ensure_path(path)
         with path.open("rb") as file_:
@@ -746,7 +746,7 @@ cdef class Tokenizer:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (bytes): The serialized form of the `Tokenizer` object.
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#to_bytes
+        DOCS: https://spacy.io/api/tokenizer#to_bytes
         """
         serializers = {
             "vocab": lambda: self.vocab.to_bytes(),
@@ -766,7 +766,7 @@ cdef class Tokenizer:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (Tokenizer): The `Tokenizer` object.
 
-        DOCS: https://nightly.spacy.io/api/tokenizer#from_bytes
+        DOCS: https://spacy.io/api/tokenizer#from_bytes
         """
         data = {}
         deserializers = {
diff --git a/spacy/tokens/_retokenize.pyx b/spacy/tokens/_retokenize.pyx
index ed8c4323e..3cb2965a9 100644
--- a/spacy/tokens/_retokenize.pyx
+++ b/spacy/tokens/_retokenize.pyx
@@ -24,8 +24,8 @@ from ..strings import get_string_id
 cdef class Retokenizer:
     """Helper class for doc.retokenize() context manager.
 
-    DOCS: https://nightly.spacy.io/api/doc#retokenize
-    USAGE: https://nightly.spacy.io/usage/linguistic-features#retokenization
+    DOCS: https://spacy.io/api/doc#retokenize
+    USAGE: https://spacy.io/usage/linguistic-features#retokenization
     """
     cdef Doc doc
     cdef list merges
@@ -47,7 +47,7 @@ cdef class Retokenizer:
         span (Span): The span to merge.
         attrs (dict): Attributes to set on the merged token.
 
-        DOCS: https://nightly.spacy.io/api/doc#retokenizer.merge
+        DOCS: https://spacy.io/api/doc#retokenizer.merge
         """
         if (span.start, span.end) in self._spans_to_merge:
             return
@@ -73,7 +73,7 @@ cdef class Retokenizer:
         attrs (dict): Attributes to set on all split tokens. Attribute names
             mapped to list of per-token attribute values.
 
-        DOCS: https://nightly.spacy.io/api/doc#retokenizer.split
+        DOCS: https://spacy.io/api/doc#retokenizer.split
         """
         if ''.join(orths) != token.text:
             raise ValueError(Errors.E117.format(new=''.join(orths), old=token.text))
diff --git a/spacy/tokens/_serialize.py b/spacy/tokens/_serialize.py
index bb1f515ec..d5b4e4ff7 100644
--- a/spacy/tokens/_serialize.py
+++ b/spacy/tokens/_serialize.py
@@ -62,7 +62,7 @@ class DocBin:
         store_user_data (bool): Whether to write the `Doc.user_data` to bytes/file.
         docs (Iterable[Doc]): Docs to add.
 
-        DOCS: https://nightly.spacy.io/api/docbin#init
+        DOCS: https://spacy.io/api/docbin#init
         """
         attrs = sorted([intify_attr(attr) for attr in attrs])
         self.version = "0.1"
@@ -88,7 +88,7 @@ class DocBin:
 
         doc (Doc): The Doc object to add.
 
-        DOCS: https://nightly.spacy.io/api/docbin#add
+        DOCS: https://spacy.io/api/docbin#add
         """
         array = doc.to_array(self.attrs)
         if len(array.shape) == 1:
@@ -122,7 +122,7 @@ class DocBin:
         vocab (Vocab): The shared vocab.
         YIELDS (Doc): The Doc objects.
 
-        DOCS: https://nightly.spacy.io/api/docbin#get_docs
+        DOCS: https://spacy.io/api/docbin#get_docs
         """
         for string in self.strings:
             vocab[string]
@@ -153,7 +153,7 @@ class DocBin:
 
         other (DocBin): The DocBin to merge into the current bin.
 
-        DOCS: https://nightly.spacy.io/api/docbin#merge
+        DOCS: https://spacy.io/api/docbin#merge
         """
         if self.attrs != other.attrs:
             raise ValueError(
@@ -180,7 +180,7 @@ class DocBin:
 
         RETURNS (bytes): The serialized DocBin.
 
-        DOCS: https://nightly.spacy.io/api/docbin#to_bytes
+        DOCS: https://spacy.io/api/docbin#to_bytes
         """
         for tokens in self.tokens:
             assert len(tokens.shape) == 2, tokens.shape  # this should never happen
@@ -208,7 +208,7 @@ class DocBin:
         bytes_data (bytes): The data to load from.
         RETURNS (DocBin): The loaded DocBin.
 
-        DOCS: https://nightly.spacy.io/api/docbin#from_bytes
+        DOCS: https://spacy.io/api/docbin#from_bytes
         """
         try:
             msg = srsly.msgpack_loads(zlib.decompress(bytes_data))
@@ -240,7 +240,7 @@ class DocBin:
 
         path (str / Path): The file path.
 
-        DOCS: https://nightly.spacy.io/api/docbin#to_disk
+        DOCS: https://spacy.io/api/docbin#to_disk
         """
         path = ensure_path(path)
         with path.open("wb") as file_:
@@ -252,7 +252,7 @@ class DocBin:
         path (str / Path): The file path.
         RETURNS (DocBin): The loaded DocBin.
 
-        DOCS: https://nightly.spacy.io/api/docbin#to_disk
+        DOCS: https://spacy.io/api/docbin#to_disk
         """
         path = ensure_path(path)
         with path.open("rb") as file_:
diff --git a/spacy/tokens/doc.pyx b/spacy/tokens/doc.pyx
index a40931720..d276228da 100644
--- a/spacy/tokens/doc.pyx
+++ b/spacy/tokens/doc.pyx
@@ -116,7 +116,7 @@ cdef class Doc:
         >>> from spacy.tokens import Doc
         >>> doc = Doc(nlp.vocab, words=["hello", "world", "!"], spaces=[True, False, False])
 
-    DOCS: https://nightly.spacy.io/api/doc
+    DOCS: https://spacy.io/api/doc
     """
 
     @classmethod
@@ -130,8 +130,8 @@ cdef class Doc:
         method (callable): Optional method for method extension.
         force (bool): Force overwriting existing attribute.
 
-        DOCS: https://nightly.spacy.io/api/doc#set_extension
-        USAGE: https://nightly.spacy.io/usage/processing-pipelines#custom-components-attributes
+        DOCS: https://spacy.io/api/doc#set_extension
+        USAGE: https://spacy.io/usage/processing-pipelines#custom-components-attributes
         """
         if cls.has_extension(name) and not kwargs.get("force", False):
             raise ValueError(Errors.E090.format(name=name, obj="Doc"))
@@ -144,7 +144,7 @@ cdef class Doc:
         name (str): Name of the extension.
         RETURNS (tuple): A `(default, method, getter, setter)` tuple.
 
-        DOCS: https://nightly.spacy.io/api/doc#get_extension
+        DOCS: https://spacy.io/api/doc#get_extension
         """
         return Underscore.doc_extensions.get(name)
 
@@ -155,7 +155,7 @@ cdef class Doc:
         name (str): Name of the extension.
         RETURNS (bool): Whether the extension has been registered.
 
-        DOCS: https://nightly.spacy.io/api/doc#has_extension
+        DOCS: https://spacy.io/api/doc#has_extension
         """
         return name in Underscore.doc_extensions
 
@@ -167,7 +167,7 @@ cdef class Doc:
         RETURNS (tuple): A `(default, method, getter, setter)` tuple of the
             removed extension.
 
-        DOCS: https://nightly.spacy.io/api/doc#remove_extension
+        DOCS: https://spacy.io/api/doc#remove_extension
         """
         if not cls.has_extension(name):
             raise ValueError(Errors.E046.format(name=name))
@@ -219,7 +219,7 @@ cdef class Doc:
             length as words, as IOB tags to assign as token.ent_iob and
             token.ent_type. Defaults to None.
 
-        DOCS: https://nightly.spacy.io/api/doc#init
+        DOCS: https://spacy.io/api/doc#init
         """
         self.vocab = vocab
         size = max(20, (len(words) if words is not None else 0))
@@ -399,7 +399,7 @@ cdef class Doc:
             every token in the doc.
         RETURNS (bool): Whether annotation is present.
 
-        DOCS: https://nightly.spacy.io/api/doc#has_annotation
+        DOCS: https://spacy.io/api/doc#has_annotation
         """
 
         # empty docs are always annotated
@@ -450,7 +450,7 @@ cdef class Doc:
             You can use negative indices and open-ended ranges, which have
             their normal Python semantics.
 
-        DOCS: https://nightly.spacy.io/api/doc#getitem
+        DOCS: https://spacy.io/api/doc#getitem
         """
         if isinstance(i, slice):
             start, stop = util.normalize_slice(len(self), i.start, i.stop, i.step)
@@ -467,7 +467,7 @@ cdef class Doc:
         than-Python speeds are required, you can instead access the annotations
         as a numpy array, or access the underlying C data directly from Cython.
 
-        DOCS: https://nightly.spacy.io/api/doc#iter
+        DOCS: https://spacy.io/api/doc#iter
         """
         cdef int i
         for i in range(self.length):
@@ -478,7 +478,7 @@ cdef class Doc:
 
         RETURNS (int): The number of tokens in the document.
 
-        DOCS: https://nightly.spacy.io/api/doc#len
+        DOCS: https://spacy.io/api/doc#len
         """
         return self.length
 
@@ -519,7 +519,7 @@ cdef class Doc:
             partially covered by the character span). Defaults to "strict".
         RETURNS (Span): The newly constructed object.
 
-        DOCS: https://nightly.spacy.io/api/doc#char_span
+        DOCS: https://spacy.io/api/doc#char_span
         """
         if not isinstance(label, int):
             label = self.vocab.strings.add(label)
@@ -562,7 +562,7 @@ cdef class Doc:
             `Span`, `Token` and `Lexeme` objects.
         RETURNS (float): A scalar similarity score. Higher is more similar.
 
-        DOCS: https://nightly.spacy.io/api/doc#similarity
+        DOCS: https://spacy.io/api/doc#similarity
         """
         if "similarity" in self.user_hooks:
             return self.user_hooks["similarity"](self, other)
@@ -595,7 +595,7 @@ cdef class Doc:
 
         RETURNS (bool): Whether a word vector is associated with the object.
 
-        DOCS: https://nightly.spacy.io/api/doc#has_vector
+        DOCS: https://spacy.io/api/doc#has_vector
         """
         if "has_vector" in self.user_hooks:
             return self.user_hooks["has_vector"](self)
@@ -613,7 +613,7 @@ cdef class Doc:
         RETURNS (numpy.ndarray[ndim=1, dtype='float32']): A 1D numpy array
             representing the document's semantics.
 
-        DOCS: https://nightly.spacy.io/api/doc#vector
+        DOCS: https://spacy.io/api/doc#vector
         """
         def __get__(self):
             if "vector" in self.user_hooks:
@@ -641,7 +641,7 @@ cdef class Doc:
 
         RETURNS (float): The L2 norm of the vector representation.
 
-        DOCS: https://nightly.spacy.io/api/doc#vector_norm
+        DOCS: https://spacy.io/api/doc#vector_norm
         """
         def __get__(self):
             if "vector_norm" in self.user_hooks:
@@ -681,7 +681,7 @@ cdef class Doc:
 
         RETURNS (tuple): Entities in the document, one `Span` per entity.
 
-        DOCS: https://nightly.spacy.io/api/doc#ents
+        DOCS: https://spacy.io/api/doc#ents
         """
         def __get__(self):
             cdef int i
@@ -827,7 +827,7 @@ cdef class Doc:
 
         YIELDS (Span): Noun chunks in the document.
 
-        DOCS: https://nightly.spacy.io/api/doc#noun_chunks
+        DOCS: https://spacy.io/api/doc#noun_chunks
         """
         if self.noun_chunks_iterator is None:
             raise NotImplementedError(Errors.E894.format(lang=self.vocab.lang))
@@ -850,7 +850,7 @@ cdef class Doc:
 
         YIELDS (Span): Sentences in the document.
 
-        DOCS: https://nightly.spacy.io/api/doc#sents
+        DOCS: https://spacy.io/api/doc#sents
         """
         if not self.has_annotation("SENT_START"):
             raise ValueError(Errors.E030)
@@ -959,7 +959,7 @@ cdef class Doc:
         attr_id (int): The attribute ID to key the counts.
         RETURNS (dict): A dictionary mapping attributes to integer counts.
 
-        DOCS: https://nightly.spacy.io/api/doc#count_by
+        DOCS: https://spacy.io/api/doc#count_by
         """
         cdef int i
         cdef attr_t attr
@@ -1006,7 +1006,7 @@ cdef class Doc:
         array (numpy.ndarray[ndim=2, dtype='int32']): The attribute values.
         RETURNS (Doc): Itself.
 
-        DOCS: https://nightly.spacy.io/api/doc#from_array
+        DOCS: https://spacy.io/api/doc#from_array
         """
         # Handle scalar/list inputs of strings/ints for py_attr_ids
         # See also #3064
@@ -1098,7 +1098,7 @@ cdef class Doc:
         attrs (list): Optional list of attribute ID ints or attribute name strings.
         RETURNS (Doc): A doc that contains the concatenated docs, or None if no docs were given.
 
-        DOCS: https://nightly.spacy.io/api/doc#from_docs
+        DOCS: https://spacy.io/api/doc#from_docs
         """
         if not docs:
             return None
@@ -1170,7 +1170,7 @@ cdef class Doc:
         RETURNS (np.array[ndim=2, dtype=numpy.int32]): LCA matrix with shape
             (n, n), where n = len(self).
 
-        DOCS: https://nightly.spacy.io/api/doc#get_lca_matrix
+        DOCS: https://spacy.io/api/doc#get_lca_matrix
         """
         return numpy.asarray(_get_lca_matrix(self, 0, len(self)))
 
@@ -1203,7 +1203,7 @@ cdef class Doc:
             it doesn't exist. Paths may be either strings or Path-like objects.
         exclude (Iterable[str]): String names of serialization fields to exclude.
 
-        DOCS: https://nightly.spacy.io/api/doc#to_disk
+        DOCS: https://spacy.io/api/doc#to_disk
         """
         path = util.ensure_path(path)
         with path.open("wb") as file_:
@@ -1218,7 +1218,7 @@ cdef class Doc:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (Doc): The modified `Doc` object.
 
-        DOCS: https://nightly.spacy.io/api/doc#from_disk
+        DOCS: https://spacy.io/api/doc#from_disk
         """
         path = util.ensure_path(path)
         with path.open("rb") as file_:
@@ -1232,7 +1232,7 @@ cdef class Doc:
         RETURNS (bytes): A losslessly serialized copy of the `Doc`, including
             all annotations.
 
-        DOCS: https://nightly.spacy.io/api/doc#to_bytes
+        DOCS: https://spacy.io/api/doc#to_bytes
         """
         return srsly.msgpack_dumps(self.to_dict(exclude=exclude))
 
@@ -1243,7 +1243,7 @@ cdef class Doc:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (Doc): Itself.
 
-        DOCS: https://nightly.spacy.io/api/doc#from_bytes
+        DOCS: https://spacy.io/api/doc#from_bytes
         """
         return self.from_dict(srsly.msgpack_loads(bytes_data), exclude=exclude)
 
@@ -1254,7 +1254,7 @@ cdef class Doc:
         RETURNS (bytes): A losslessly serialized copy of the `Doc`, including
             all annotations.
 
-        DOCS: https://nightly.spacy.io/api/doc#to_bytes
+        DOCS: https://spacy.io/api/doc#to_bytes
         """
         array_head = Doc._get_array_attrs()
         strings = set()
@@ -1302,7 +1302,7 @@ cdef class Doc:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (Doc): Itself.
 
-        DOCS: https://nightly.spacy.io/api/doc#from_dict
+        DOCS: https://spacy.io/api/doc#from_dict
         """
         if self.length != 0:
             raise ValueError(Errors.E033.format(length=self.length))
@@ -1373,8 +1373,8 @@ cdef class Doc:
         retokenization are invalidated, although they may accidentally
         continue to work.
 
-        DOCS: https://nightly.spacy.io/api/doc#retokenize
-        USAGE: https://nightly.spacy.io/usage/linguistic-features#retokenization
+        DOCS: https://spacy.io/api/doc#retokenize
+        USAGE: https://spacy.io/usage/linguistic-features#retokenization
         """
         return Retokenizer(self)
 
diff --git a/spacy/tokens/span.pyx b/spacy/tokens/span.pyx
index f6f5cd7fb..31eb1385b 100644
--- a/spacy/tokens/span.pyx
+++ b/spacy/tokens/span.pyx
@@ -24,7 +24,7 @@ from .underscore import Underscore, get_ext_args
 cdef class Span:
     """A slice from a Doc object.
 
-    DOCS: https://nightly.spacy.io/api/span
+    DOCS: https://spacy.io/api/span
     """
     @classmethod
     def set_extension(cls, name, **kwargs):
@@ -37,8 +37,8 @@ cdef class Span:
         method (callable): Optional method for method extension.
         force (bool): Force overwriting existing attribute.
 
-        DOCS: https://nightly.spacy.io/api/span#set_extension
-        USAGE: https://nightly.spacy.io/usage/processing-pipelines#custom-components-attributes
+        DOCS: https://spacy.io/api/span#set_extension
+        USAGE: https://spacy.io/usage/processing-pipelines#custom-components-attributes
         """
         if cls.has_extension(name) and not kwargs.get("force", False):
             raise ValueError(Errors.E090.format(name=name, obj="Span"))
@@ -51,7 +51,7 @@ cdef class Span:
         name (str): Name of the extension.
         RETURNS (tuple): A `(default, method, getter, setter)` tuple.
 
-        DOCS: https://nightly.spacy.io/api/span#get_extension
+        DOCS: https://spacy.io/api/span#get_extension
         """
         return Underscore.span_extensions.get(name)
 
@@ -62,7 +62,7 @@ cdef class Span:
         name (str): Name of the extension.
         RETURNS (bool): Whether the extension has been registered.
 
-        DOCS: https://nightly.spacy.io/api/span#has_extension
+        DOCS: https://spacy.io/api/span#has_extension
         """
         return name in Underscore.span_extensions
 
@@ -74,7 +74,7 @@ cdef class Span:
         RETURNS (tuple): A `(default, method, getter, setter)` tuple of the
             removed extension.
 
-        DOCS: https://nightly.spacy.io/api/span#remove_extension
+        DOCS: https://spacy.io/api/span#remove_extension
         """
         if not cls.has_extension(name):
             raise ValueError(Errors.E046.format(name=name))
@@ -92,7 +92,7 @@ cdef class Span:
         vector (ndarray[ndim=1, dtype='float32']): A meaning representation
             of the span.
 
-        DOCS: https://nightly.spacy.io/api/span#init
+        DOCS: https://spacy.io/api/span#init
         """
         if not (0 <= start <= end <= len(doc)):
             raise IndexError(Errors.E035.format(start=start, end=end, length=len(doc)))
@@ -162,7 +162,7 @@ cdef class Span:
 
         RETURNS (int): The number of tokens in the span.
 
-        DOCS: https://nightly.spacy.io/api/span#len
+        DOCS: https://spacy.io/api/span#len
         """
         if self.c.end < self.c.start:
             return 0
@@ -178,7 +178,7 @@ cdef class Span:
             the span to get.
         RETURNS (Token or Span): The token at `span[i]`.
 
-        DOCS: https://nightly.spacy.io/api/span#getitem
+        DOCS: https://spacy.io/api/span#getitem
         """
         if isinstance(i, slice):
             start, end = normalize_slice(len(self), i.start, i.stop, i.step)
@@ -198,7 +198,7 @@ cdef class Span:
 
         YIELDS (Token): A `Token` object.
 
-        DOCS: https://nightly.spacy.io/api/span#iter
+        DOCS: https://spacy.io/api/span#iter
         """
         for i in range(self.c.start, self.c.end):
             yield self.doc[i]
@@ -218,7 +218,7 @@ cdef class Span:
         copy_user_data (bool): Whether or not to copy the original doc's user data.
         RETURNS (Doc): The `Doc` copy of the span.
 
-        DOCS: https://nightly.spacy.io/api/span#as_doc
+        DOCS: https://spacy.io/api/span#as_doc
         """
         words = [t.text for t in self]
         spaces = [bool(t.whitespace_) for t in self]
@@ -291,7 +291,7 @@ cdef class Span:
         RETURNS (np.array[ndim=2, dtype=numpy.int32]): LCA matrix with shape
             (n, n), where n = len(self).
 
-        DOCS: https://nightly.spacy.io/api/span#get_lca_matrix
+        DOCS: https://spacy.io/api/span#get_lca_matrix
         """
         return numpy.asarray(_get_lca_matrix(self.doc, self.c.start, self.c.end))
 
@@ -303,7 +303,7 @@ cdef class Span:
             `Span`, `Token` and `Lexeme` objects.
         RETURNS (float): A scalar similarity score. Higher is more similar.
 
-        DOCS: https://nightly.spacy.io/api/span#similarity
+        DOCS: https://spacy.io/api/span#similarity
         """
         if "similarity" in self.doc.user_span_hooks:
             return self.doc.user_span_hooks["similarity"](self, other)
@@ -385,7 +385,7 @@ cdef class Span:
 
         RETURNS (tuple): Entities in the span, one `Span` per entity.
 
-        DOCS: https://nightly.spacy.io/api/span#ents
+        DOCS: https://spacy.io/api/span#ents
         """
         cdef Span ent
         ents = []
@@ -404,7 +404,7 @@ cdef class Span:
 
         RETURNS (bool): Whether a word vector is associated with the object.
 
-        DOCS: https://nightly.spacy.io/api/span#has_vector
+        DOCS: https://spacy.io/api/span#has_vector
         """
         if "has_vector" in self.doc.user_span_hooks:
             return self.doc.user_span_hooks["has_vector"](self)
@@ -423,7 +423,7 @@ cdef class Span:
         RETURNS (numpy.ndarray[ndim=1, dtype='float32']): A 1D numpy array
             representing the span's semantics.
 
-        DOCS: https://nightly.spacy.io/api/span#vector
+        DOCS: https://spacy.io/api/span#vector
         """
         if "vector" in self.doc.user_span_hooks:
             return self.doc.user_span_hooks["vector"](self)
@@ -437,7 +437,7 @@ cdef class Span:
 
         RETURNS (float): The L2 norm of the vector representation.
 
-        DOCS: https://nightly.spacy.io/api/span#vector_norm
+        DOCS: https://spacy.io/api/span#vector_norm
         """
         if "vector_norm" in self.doc.user_span_hooks:
             return self.doc.user_span_hooks["vector"](self)
@@ -501,7 +501,7 @@ cdef class Span:
 
         YIELDS (Span): Noun chunks in the span.
 
-        DOCS: https://nightly.spacy.io/api/span#noun_chunks
+        DOCS: https://spacy.io/api/span#noun_chunks
         """
         for span in self.doc.noun_chunks:
             if span.start >= self.start and span.end <= self.end:
@@ -515,7 +515,7 @@ cdef class Span:
 
         RETURNS (Token): The root token.
 
-        DOCS: https://nightly.spacy.io/api/span#root
+        DOCS: https://spacy.io/api/span#root
         """
         if "root" in self.doc.user_span_hooks:
             return self.doc.user_span_hooks["root"](self)
@@ -571,7 +571,7 @@ cdef class Span:
 
         RETURNS (tuple): A tuple of Token objects.
 
-        DOCS: https://nightly.spacy.io/api/span#lefts
+        DOCS: https://spacy.io/api/span#lefts
         """
         return self.root.conjuncts
 
@@ -582,7 +582,7 @@ cdef class Span:
 
         YIELDS (Token):A left-child of a token of the span.
 
-        DOCS: https://nightly.spacy.io/api/span#lefts
+        DOCS: https://spacy.io/api/span#lefts
         """
         for token in reversed(self):  # Reverse, so we get tokens in order
             for left in token.lefts:
@@ -596,7 +596,7 @@ cdef class Span:
 
         YIELDS (Token): A right-child of a token of the span.
 
-        DOCS: https://nightly.spacy.io/api/span#rights
+        DOCS: https://spacy.io/api/span#rights
         """
         for token in self:
             for right in token.rights:
@@ -611,7 +611,7 @@ cdef class Span:
         RETURNS (int): The number of leftward immediate children of the
             span, in the syntactic dependency parse.
 
-        DOCS: https://nightly.spacy.io/api/span#n_lefts
+        DOCS: https://spacy.io/api/span#n_lefts
         """
         return len(list(self.lefts))
 
@@ -623,7 +623,7 @@ cdef class Span:
         RETURNS (int): The number of rightward immediate children of the
             span, in the syntactic dependency parse.
 
-        DOCS: https://nightly.spacy.io/api/span#n_rights
+        DOCS: https://spacy.io/api/span#n_rights
         """
         return len(list(self.rights))
 
@@ -633,7 +633,7 @@ cdef class Span:
 
         YIELDS (Token): A token within the span, or a descendant from it.
 
-        DOCS: https://nightly.spacy.io/api/span#subtree
+        DOCS: https://spacy.io/api/span#subtree
         """
         for word in self.lefts:
             yield from word.subtree
diff --git a/spacy/tokens/span_group.pyx b/spacy/tokens/span_group.pyx
index 5b768994e..081685c25 100644
--- a/spacy/tokens/span_group.pyx
+++ b/spacy/tokens/span_group.pyx
@@ -27,7 +27,7 @@ cdef class SpanGroup:
         >>> doc.spans["errors"] = [doc[0:1], doc[2:4]]
         >>> assert isinstance(doc.spans["errors"], SpanGroup)
 
-    DOCS: https://nightly.spacy.io/api/spangroup
+    DOCS: https://spacy.io/api/spangroup
     """
     def __init__(self, doc, *, name="", attrs={}, spans=[]):
         """Create a SpanGroup.
@@ -37,7 +37,7 @@ cdef class SpanGroup:
         attrs (Dict[str, Any]): Optional JSON-serializable attributes to attach.
         spans (Iterable[Span]): The spans to add to the group.
 
-        DOCS: https://nightly.spacy.io/api/spangroup#init
+        DOCS: https://spacy.io/api/spangroup#init
         """
         # We need to make this a weak reference, so that the Doc object can
         # own the SpanGroup without circular references. We do want to get
@@ -56,7 +56,7 @@ cdef class SpanGroup:
     def doc(self):
         """RETURNS (Doc): The reference document.
 
-        DOCS: https://nightly.spacy.io/api/spangroup#doc
+        DOCS: https://spacy.io/api/spangroup#doc
         """
         return self._doc_ref()
 
@@ -64,7 +64,7 @@ cdef class SpanGroup:
     def has_overlap(self):
         """RETURNS (bool): Whether the group contains overlapping spans.
 
-        DOCS: https://nightly.spacy.io/api/spangroup#has_overlap
+        DOCS: https://spacy.io/api/spangroup#has_overlap
         """
         if not len(self):
             return False
@@ -79,7 +79,7 @@ cdef class SpanGroup:
     def __len__(self):
         """RETURNS (int): The number of spans in the group.
 
-        DOCS: https://nightly.spacy.io/api/spangroup#len
+        DOCS: https://spacy.io/api/spangroup#len
         """
         return self.c.size()
 
@@ -89,7 +89,7 @@ cdef class SpanGroup:
 
         span (Span): The span to append.
 
-        DOCS: https://nightly.spacy.io/api/spangroup#append
+        DOCS: https://spacy.io/api/spangroup#append
         """
         if span.doc is not self.doc:
             raise ValueError("Cannot add span to group: refers to different Doc.")
@@ -101,7 +101,7 @@ cdef class SpanGroup:
 
         spans (Iterable[Span]): The spans to add.
 
-        DOCS: https://nightly.spacy.io/api/spangroup#extend
+        DOCS: https://spacy.io/api/spangroup#extend
         """
         cdef Span span
         for span in spans:
@@ -113,7 +113,7 @@ cdef class SpanGroup:
         i (int): The item index.
         RETURNS (Span): The span at the given index.
 
-        DOCS: https://nightly.spacy.io/api/spangroup#getitem
+        DOCS: https://spacy.io/api/spangroup#getitem
         """
         cdef int size = self.c.size()
         if i < -size or i >= size:
@@ -127,7 +127,7 @@ cdef class SpanGroup:
 
         RETURNS (bytes): The serialized span group.
 
-        DOCS: https://nightly.spacy.io/api/spangroup#to_bytes
+        DOCS: https://spacy.io/api/spangroup#to_bytes
         """
         output = {"name": self.name, "attrs": self.attrs, "spans": []}
         for i in range(self.c.size()):
@@ -159,7 +159,7 @@ cdef class SpanGroup:
         bytes_data (bytes): The span group to load.
         RETURNS (SpanGroup): The deserialized span group.
 
-        DOCS: https://nightly.spacy.io/api/spangroup#from_bytes
+        DOCS: https://spacy.io/api/spangroup#from_bytes
         """
         msg = srsly.msgpack_loads(bytes_data)
         self.name = msg["name"]
diff --git a/spacy/tokens/token.pyx b/spacy/tokens/token.pyx
index 71c0baf63..605108a7b 100644
--- a/spacy/tokens/token.pyx
+++ b/spacy/tokens/token.pyx
@@ -27,7 +27,7 @@ cdef class Token:
     """An individual token – i.e. a word, punctuation symbol, whitespace,
     etc.
 
-    DOCS: https://nightly.spacy.io/api/token
+    DOCS: https://spacy.io/api/token
     """
     @classmethod
     def set_extension(cls, name, **kwargs):
@@ -40,8 +40,8 @@ cdef class Token:
         method (callable): Optional method for method extension.
         force (bool): Force overwriting existing attribute.
 
-        DOCS: https://nightly.spacy.io/api/token#set_extension
-        USAGE: https://nightly.spacy.io/usage/processing-pipelines#custom-components-attributes
+        DOCS: https://spacy.io/api/token#set_extension
+        USAGE: https://spacy.io/usage/processing-pipelines#custom-components-attributes
         """
         if cls.has_extension(name) and not kwargs.get("force", False):
             raise ValueError(Errors.E090.format(name=name, obj="Token"))
@@ -54,7 +54,7 @@ cdef class Token:
         name (str): Name of the extension.
         RETURNS (tuple): A `(default, method, getter, setter)` tuple.
 
-        DOCS: https://nightly.spacy.io/api/token#get_extension
+        DOCS: https://spacy.io/api/token#get_extension
         """
         return Underscore.token_extensions.get(name)
 
@@ -65,7 +65,7 @@ cdef class Token:
         name (str): Name of the extension.
         RETURNS (bool): Whether the extension has been registered.
 
-        DOCS: https://nightly.spacy.io/api/token#has_extension
+        DOCS: https://spacy.io/api/token#has_extension
         """
         return name in Underscore.token_extensions
 
@@ -77,7 +77,7 @@ cdef class Token:
         RETURNS (tuple): A `(default, method, getter, setter)` tuple of the
             removed extension.
 
-        DOCS: https://nightly.spacy.io/api/token#remove_extension
+        DOCS: https://spacy.io/api/token#remove_extension
         """
         if not cls.has_extension(name):
             raise ValueError(Errors.E046.format(name=name))
@@ -90,7 +90,7 @@ cdef class Token:
         doc (Doc): The parent document.
         offset (int): The index of the token within the document.
 
-        DOCS: https://nightly.spacy.io/api/token#init
+        DOCS: https://spacy.io/api/token#init
         """
         self.vocab = vocab
         self.doc = doc
@@ -105,7 +105,7 @@ cdef class Token:
 
         RETURNS (int): The number of unicode characters in the token.
 
-        DOCS: https://nightly.spacy.io/api/token#len
+        DOCS: https://spacy.io/api/token#len
         """
         return self.c.lex.length
 
@@ -168,7 +168,7 @@ cdef class Token:
         flag_id (int): The ID of the flag attribute.
         RETURNS (bool): Whether the flag is set.
 
-        DOCS: https://nightly.spacy.io/api/token#check_flag
+        DOCS: https://spacy.io/api/token#check_flag
         """
         return Lexeme.c_check_flag(self.c.lex, flag_id)
 
@@ -178,7 +178,7 @@ cdef class Token:
         i (int): The relative position of the token to get. Defaults to 1.
         RETURNS (Token): The token at position `self.doc[self.i+i]`.
 
-        DOCS: https://nightly.spacy.io/api/token#nbor
+        DOCS: https://spacy.io/api/token#nbor
         """
         if self.i+i < 0 or (self.i+i >= len(self.doc)):
             raise IndexError(Errors.E042.format(i=self.i, j=i, length=len(self.doc)))
@@ -192,7 +192,7 @@ cdef class Token:
             `Span`, `Token` and `Lexeme` objects.
         RETURNS (float): A scalar similarity score. Higher is more similar.
 
-        DOCS: https://nightly.spacy.io/api/token#similarity
+        DOCS: https://spacy.io/api/token#similarity
         """
         if "similarity" in self.doc.user_token_hooks:
             return self.doc.user_token_hooks["similarity"](self, other)
@@ -388,7 +388,7 @@ cdef class Token:
 
         RETURNS (bool): Whether a word vector is associated with the object.
 
-        DOCS: https://nightly.spacy.io/api/token#has_vector
+        DOCS: https://spacy.io/api/token#has_vector
         """
         if "has_vector" in self.doc.user_token_hooks:
             return self.doc.user_token_hooks["has_vector"](self)
@@ -403,7 +403,7 @@ cdef class Token:
         RETURNS (numpy.ndarray[ndim=1, dtype='float32']): A 1D numpy array
             representing the token's semantics.
 
-        DOCS: https://nightly.spacy.io/api/token#vector
+        DOCS: https://spacy.io/api/token#vector
         """
         if "vector" in self.doc.user_token_hooks:
             return self.doc.user_token_hooks["vector"](self)
@@ -418,7 +418,7 @@ cdef class Token:
 
         RETURNS (float): The L2 norm of the vector representation.
 
-        DOCS: https://nightly.spacy.io/api/token#vector_norm
+        DOCS: https://spacy.io/api/token#vector_norm
         """
         if "vector_norm" in self.doc.user_token_hooks:
             return self.doc.user_token_hooks["vector_norm"](self)
@@ -441,7 +441,7 @@ cdef class Token:
         RETURNS (int): The number of leftward immediate children of the
             word, in the syntactic dependency parse.
 
-        DOCS: https://nightly.spacy.io/api/token#n_lefts
+        DOCS: https://spacy.io/api/token#n_lefts
         """
         return self.c.l_kids
 
@@ -453,7 +453,7 @@ cdef class Token:
         RETURNS (int): The number of rightward immediate children of the
             word, in the syntactic dependency parse.
 
-        DOCS: https://nightly.spacy.io/api/token#n_rights
+        DOCS: https://spacy.io/api/token#n_rights
         """
         return self.c.r_kids
 
@@ -485,7 +485,7 @@ cdef class Token:
         RETURNS (bool / None): Whether the token starts a sentence.
             None if unknown.
 
-        DOCS: https://nightly.spacy.io/api/token#is_sent_start
+        DOCS: https://spacy.io/api/token#is_sent_start
         """
         def __get__(self):
             if self.c.sent_start == 0:
@@ -514,7 +514,7 @@ cdef class Token:
         RETURNS (bool / None): Whether the token ends a sentence.
             None if unknown.
 
-        DOCS: https://nightly.spacy.io/api/token#is_sent_end
+        DOCS: https://spacy.io/api/token#is_sent_end
         """
         def __get__(self):
             if self.i + 1 == len(self.doc):
@@ -536,7 +536,7 @@ cdef class Token:
 
         YIELDS (Token): A left-child of the token.
 
-        DOCS: https://nightly.spacy.io/api/token#lefts
+        DOCS: https://spacy.io/api/token#lefts
         """
         cdef int nr_iter = 0
         cdef const TokenC* ptr = self.c - (self.i - self.c.l_edge)
@@ -556,7 +556,7 @@ cdef class Token:
 
         YIELDS (Token): A right-child of the token.
 
-        DOCS: https://nightly.spacy.io/api/token#rights
+        DOCS: https://spacy.io/api/token#rights
         """
         cdef const TokenC* ptr = self.c + (self.c.r_edge - self.i)
         tokens = []
@@ -578,7 +578,7 @@ cdef class Token:
 
         YIELDS (Token): A child token such that `child.head==self`.
 
-        DOCS: https://nightly.spacy.io/api/token#children
+        DOCS: https://spacy.io/api/token#children
         """
         yield from self.lefts
         yield from self.rights
@@ -591,7 +591,7 @@ cdef class Token:
         YIELDS (Token): A descendent token such that
             `self.is_ancestor(descendent) or token == self`.
 
-        DOCS: https://nightly.spacy.io/api/token#subtree
+        DOCS: https://spacy.io/api/token#subtree
         """
         for word in self.lefts:
             yield from word.subtree
@@ -622,7 +622,7 @@ cdef class Token:
         YIELDS (Token): A sequence of ancestor tokens such that
             `ancestor.is_ancestor(self)`.
 
-        DOCS: https://nightly.spacy.io/api/token#ancestors
+        DOCS: https://spacy.io/api/token#ancestors
         """
         cdef const TokenC* head_ptr = self.c
         # Guard against infinite loop, no token can have
@@ -640,7 +640,7 @@ cdef class Token:
         descendant (Token): Another token.
         RETURNS (bool): Whether this token is the ancestor of the descendant.
 
-        DOCS: https://nightly.spacy.io/api/token#is_ancestor
+        DOCS: https://spacy.io/api/token#is_ancestor
         """
         if self.doc is not descendant.doc:
             return False
@@ -655,8 +655,8 @@ cdef class Token:
         return not Token.missing_head(self.c)
 
     property head:
-        """The syntactic parent, or "governor", of this token. 
-        If token.has_head() is `False`, this method will return itself. 
+        """The syntactic parent, or "governor", of this token.
+        If token.has_head() is `False`, this method will return itself.
 
         RETURNS (Token): The token predicted by the parser to be the head of
             the current token.
@@ -696,7 +696,7 @@ cdef class Token:
 
         RETURNS (tuple): The coordinated tokens.
 
-        DOCS: https://nightly.spacy.io/api/token#conjuncts
+        DOCS: https://spacy.io/api/token#conjuncts
         """
         cdef Token word, child
         if "conjuncts" in self.doc.user_token_hooks:
diff --git a/spacy/training/corpus.py b/spacy/training/corpus.py
index b3ff30e66..ae7b89f15 100644
--- a/spacy/training/corpus.py
+++ b/spacy/training/corpus.py
@@ -97,7 +97,7 @@ class Corpus:
     augment (Callable[Example, Iterable[Example]]): Optional data augmentation
         function, to extrapolate additional examples from your annotations.
 
-    DOCS: https://nightly.spacy.io/api/corpus
+    DOCS: https://spacy.io/api/corpus
     """
 
     def __init__(
@@ -121,7 +121,7 @@ class Corpus:
         nlp (Language): The current nlp object.
         YIELDS (Example): The examples.
 
-        DOCS: https://nightly.spacy.io/api/corpus#call
+        DOCS: https://spacy.io/api/corpus#call
         """
         ref_docs = self.read_docbin(nlp.vocab, walk_corpus(self.path, FILE_TYPE))
         if self.gold_preproc:
@@ -206,7 +206,7 @@ class JsonlCorpus:
     limit (int): Limit corpus to a subset of examples, e.g. for debugging.
         Defaults to 0, which indicates no limit.
 
-    DOCS: https://nightly.spacy.io/api/corpus#jsonlcorpus
+    DOCS: https://spacy.io/api/corpus#jsonlcorpus
     """
 
     file_type = "jsonl"
@@ -230,7 +230,7 @@ class JsonlCorpus:
         nlp (Language): The current nlp object.
         YIELDS (Example): The example objects.
 
-        DOCS: https://nightly.spacy.io/api/corpus#jsonlcorpus-call
+        DOCS: https://spacy.io/api/corpus#jsonlcorpus-call
         """
         for loc in walk_corpus(self.path, ".jsonl"):
             records = srsly.read_jsonl(loc)
diff --git a/spacy/vectors.pyx b/spacy/vectors.pyx
index ae2508c87..bcea87e67 100644
--- a/spacy/vectors.pyx
+++ b/spacy/vectors.pyx
@@ -44,7 +44,7 @@ cdef class Vectors:
     the table need to be assigned - so len(list(vectors.keys())) may be
     greater or smaller than vectors.shape[0].
 
-    DOCS: https://nightly.spacy.io/api/vectors
+    DOCS: https://spacy.io/api/vectors
     """
     cdef public object name
     cdef public object data
@@ -59,7 +59,7 @@ cdef class Vectors:
         keys (iterable): A sequence of keys, aligned with the data.
         name (str): A name to identify the vectors table.
 
-        DOCS: https://nightly.spacy.io/api/vectors#init
+        DOCS: https://spacy.io/api/vectors#init
         """
         self.name = name
         if data is None:
@@ -83,7 +83,7 @@ cdef class Vectors:
 
         RETURNS (tuple): A `(rows, dims)` pair.
 
-        DOCS: https://nightly.spacy.io/api/vectors#shape
+        DOCS: https://spacy.io/api/vectors#shape
         """
         return self.data.shape
 
@@ -93,7 +93,7 @@ cdef class Vectors:
 
         RETURNS (int): The vector size.
 
-        DOCS: https://nightly.spacy.io/api/vectors#size
+        DOCS: https://spacy.io/api/vectors#size
         """
         return self.data.shape[0] * self.data.shape[1]
 
@@ -103,7 +103,7 @@ cdef class Vectors:
 
         RETURNS (bool): `True` if no slots are available for new keys.
 
-        DOCS: https://nightly.spacy.io/api/vectors#is_full
+        DOCS: https://spacy.io/api/vectors#is_full
         """
         return self._unset.size() == 0
 
@@ -114,7 +114,7 @@ cdef class Vectors:
 
         RETURNS (int): The number of keys in the table.
 
-        DOCS: https://nightly.spacy.io/api/vectors#n_keys
+        DOCS: https://spacy.io/api/vectors#n_keys
         """
         return len(self.key2row)
 
@@ -127,7 +127,7 @@ cdef class Vectors:
         key (int): The key to get the vector for.
         RETURNS (ndarray): The vector for the key.
 
-        DOCS: https://nightly.spacy.io/api/vectors#getitem
+        DOCS: https://spacy.io/api/vectors#getitem
         """
         i = self.key2row[key]
         if i is None:
@@ -141,7 +141,7 @@ cdef class Vectors:
         key (int): The key to set the vector for.
         vector (ndarray): The vector to set.
 
-        DOCS: https://nightly.spacy.io/api/vectors#setitem
+        DOCS: https://spacy.io/api/vectors#setitem
         """
         i = self.key2row[key]
         self.data[i] = vector
@@ -153,7 +153,7 @@ cdef class Vectors:
 
         YIELDS (int): A key in the table.
 
-        DOCS: https://nightly.spacy.io/api/vectors#iter
+        DOCS: https://spacy.io/api/vectors#iter
         """
         yield from self.key2row
 
@@ -162,7 +162,7 @@ cdef class Vectors:
 
         RETURNS (int): The number of vectors in the data.
 
-        DOCS: https://nightly.spacy.io/api/vectors#len
+        DOCS: https://spacy.io/api/vectors#len
         """
         return self.data.shape[0]
 
@@ -172,7 +172,7 @@ cdef class Vectors:
         key (int): The key to check.
         RETURNS (bool): Whether the key has a vector entry.
 
-        DOCS: https://nightly.spacy.io/api/vectors#contains
+        DOCS: https://spacy.io/api/vectors#contains
         """
         return key in self.key2row
 
@@ -189,7 +189,7 @@ cdef class Vectors:
         inplace (bool): Reallocate the memory.
         RETURNS (list): The removed items as a list of `(key, row)` tuples.
 
-        DOCS: https://nightly.spacy.io/api/vectors#resize
+        DOCS: https://spacy.io/api/vectors#resize
         """
         xp = get_array_module(self.data)
         if inplace:
@@ -224,7 +224,7 @@ cdef class Vectors:
 
         YIELDS (ndarray): A vector in the table.
 
-        DOCS: https://nightly.spacy.io/api/vectors#values
+        DOCS: https://spacy.io/api/vectors#values
         """
         for row, vector in enumerate(range(self.data.shape[0])):
             if not self._unset.count(row):
@@ -235,7 +235,7 @@ cdef class Vectors:
 
         YIELDS (tuple): A key/vector pair.
 
-        DOCS: https://nightly.spacy.io/api/vectors#items
+        DOCS: https://spacy.io/api/vectors#items
         """
         for key, row in self.key2row.items():
             yield key, self.data[row]
@@ -281,7 +281,7 @@ cdef class Vectors:
         row (int / None): The row number of a vector to map the key to.
         RETURNS (int): The row the vector was added to.
 
-        DOCS: https://nightly.spacy.io/api/vectors#add
+        DOCS: https://spacy.io/api/vectors#add
         """
         # use int for all keys and rows in key2row for more efficient access
         # and serialization
@@ -368,7 +368,7 @@ cdef class Vectors:
         path (str / Path): A path to a directory, which will be created if
             it doesn't exists.
 
-        DOCS: https://nightly.spacy.io/api/vectors#to_disk
+        DOCS: https://spacy.io/api/vectors#to_disk
         """
         xp = get_array_module(self.data)
         if xp is numpy:
@@ -396,7 +396,7 @@ cdef class Vectors:
         path (str / Path): Directory path, string or Path-like object.
         RETURNS (Vectors): The modified object.
 
-        DOCS: https://nightly.spacy.io/api/vectors#from_disk
+        DOCS: https://spacy.io/api/vectors#from_disk
         """
         def load_key2row(path):
             if path.exists():
@@ -432,7 +432,7 @@ cdef class Vectors:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (bytes): The serialized form of the `Vectors` object.
 
-        DOCS: https://nightly.spacy.io/api/vectors#to_bytes
+        DOCS: https://spacy.io/api/vectors#to_bytes
         """
         def serialize_weights():
             if hasattr(self.data, "to_bytes"):
@@ -453,7 +453,7 @@ cdef class Vectors:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (Vectors): The `Vectors` object.
 
-        DOCS: https://nightly.spacy.io/api/vectors#from_bytes
+        DOCS: https://spacy.io/api/vectors#from_bytes
         """
         def deserialize_weights(b):
             if hasattr(self.data, "from_bytes"):
diff --git a/spacy/vocab.pyx b/spacy/vocab.pyx
index bcbf300e9..31f4e2422 100644
--- a/spacy/vocab.pyx
+++ b/spacy/vocab.pyx
@@ -47,7 +47,7 @@ cdef class Vocab:
     instance also provides access to the `StringStore`, and owns underlying
     C-data that is shared between `Doc` objects.
 
-    DOCS: https://nightly.spacy.io/api/vocab
+    DOCS: https://spacy.io/api/vocab
     """
     def __init__(self, lex_attr_getters=None, strings=tuple(), lookups=None,
                  oov_prob=-20., vectors_name=None, writing_system={},
@@ -110,7 +110,7 @@ cdef class Vocab:
             available bit will be chosen.
         RETURNS (int): The integer ID by which the flag value can be checked.
 
-        DOCS: https://nightly.spacy.io/api/vocab#add_flag
+        DOCS: https://spacy.io/api/vocab#add_flag
         """
         if flag_id == -1:
             for bit in range(1, 64):
@@ -202,7 +202,7 @@ cdef class Vocab:
         string (unicode): The ID string.
         RETURNS (bool) Whether the string has an entry in the vocabulary.
 
-        DOCS: https://nightly.spacy.io/api/vocab#contains
+        DOCS: https://spacy.io/api/vocab#contains
         """
         cdef hash_t int_key
         if isinstance(key, bytes):
@@ -219,7 +219,7 @@ cdef class Vocab:
 
         YIELDS (Lexeme): An entry in the vocabulary.
 
-        DOCS: https://nightly.spacy.io/api/vocab#iter
+        DOCS: https://spacy.io/api/vocab#iter
         """
         cdef attr_t key
         cdef size_t addr
@@ -242,7 +242,7 @@ cdef class Vocab:
             >>> apple = nlp.vocab.strings["apple"]
             >>> assert nlp.vocab[apple] == nlp.vocab[u"apple"]
 
-        DOCS: https://nightly.spacy.io/api/vocab#getitem
+        DOCS: https://spacy.io/api/vocab#getitem
         """
         cdef attr_t orth
         if isinstance(id_or_string, unicode):
@@ -310,7 +310,7 @@ cdef class Vocab:
             word was mapped to, and `score` the similarity score between the
             two words.
 
-        DOCS: https://nightly.spacy.io/api/vocab#prune_vectors
+        DOCS: https://spacy.io/api/vocab#prune_vectors
         """
         xp = get_array_module(self.vectors.data)
         # Make sure all vectors are in the vocab
@@ -353,7 +353,7 @@ cdef class Vocab:
             and shape determined by the `vocab.vectors` instance. Usually, a
             numpy ndarray of shape (300,) and dtype float32.
 
-        DOCS: https://nightly.spacy.io/api/vocab#get_vector
+        DOCS: https://spacy.io/api/vocab#get_vector
         """
         if isinstance(orth, str):
             orth = self.strings.add(orth)
@@ -400,7 +400,7 @@ cdef class Vocab:
         orth (int / unicode): The word.
         vector (numpy.ndarray[ndim=1, dtype='float32']): The vector to set.
 
-        DOCS: https://nightly.spacy.io/api/vocab#set_vector
+        DOCS: https://spacy.io/api/vocab#set_vector
         """
         if isinstance(orth, str):
             orth = self.strings.add(orth)
@@ -422,7 +422,7 @@ cdef class Vocab:
         orth (int / unicode): The word.
         RETURNS (bool): Whether the word has a vector.
 
-        DOCS: https://nightly.spacy.io/api/vocab#has_vector
+        DOCS: https://spacy.io/api/vocab#has_vector
         """
         if isinstance(orth, str):
             orth = self.strings.add(orth)
@@ -448,7 +448,7 @@ cdef class Vocab:
             it doesn't exist.
         exclude (list): String names of serialization fields to exclude.
 
-        DOCS: https://nightly.spacy.io/api/vocab#to_disk
+        DOCS: https://spacy.io/api/vocab#to_disk
         """
         path = util.ensure_path(path)
         if not path.exists():
@@ -469,7 +469,7 @@ cdef class Vocab:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (Vocab): The modified `Vocab` object.
 
-        DOCS: https://nightly.spacy.io/api/vocab#to_disk
+        DOCS: https://spacy.io/api/vocab#to_disk
         """
         path = util.ensure_path(path)
         getters = ["strings", "vectors"]
@@ -494,7 +494,7 @@ cdef class Vocab:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (bytes): The serialized form of the `Vocab` object.
 
-        DOCS: https://nightly.spacy.io/api/vocab#to_bytes
+        DOCS: https://spacy.io/api/vocab#to_bytes
         """
         def deserialize_vectors():
             if self.vectors is None:
@@ -516,7 +516,7 @@ cdef class Vocab:
         exclude (list): String names of serialization fields to exclude.
         RETURNS (Vocab): The `Vocab` object.
 
-        DOCS: https://nightly.spacy.io/api/vocab#from_bytes
+        DOCS: https://spacy.io/api/vocab#from_bytes
         """
         def serialize_vectors(b):
             if self.vectors is None: