diff --git a/website/docs/api/span.mdx b/website/docs/api/span.mdx
index bd7794edc..a135f5ec9 100644
--- a/website/docs/api/span.mdx
+++ b/website/docs/api/span.mdx
@@ -186,14 +186,15 @@ the character indices don't map to a valid span.
 > assert span.text == "New York"
 > ```
 
-| Name        | Description                                                                               |
-| ----------- | ----------------------------------------------------------------------------------------- |
-| `start`     | The index of the first character of the span. ~~int~~                                     |
-| `end`       | The index of the last character after the span. ~~int~~                                   |
-| `label`     | A label to attach to the span, e.g. for named entities. ~~Union[int, str]~~               |
-| `kb_id`     | An ID from a knowledge base to capture the meaning of a named entity. ~~Union[int, str]~~ |
-| `vector`    | A meaning representation of the span. ~~numpy.ndarray[ndim=1, dtype=float32]~~            |
-| **RETURNS** | The newly constructed object or `None`. ~~Optional[Span]~~                                |
+| Name                                            | Description                                                                                                                                                                                                                                                                  |
+| ----------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `start`                                         | The index of the first character of the span. ~~int~~                                                                                                                                                                                                                        |
+| `end`                                           | The index of the last character after the span. ~~int~~                                                                                                                                                                                                                      |
+| `label`                                         | A label to attach to the span, e.g. for named entities. ~~Union[int, str]~~                                                                                                                                                                                                  |
+| `kb_id`                                         | An ID from a knowledge base to capture the meaning of a named entity. ~~Union[int, str]~~                                                                                                                                                                                    |
+| `vector`                                        | A meaning representation of the span. ~~numpy.ndarray[ndim=1, dtype=float32]~~                                                                                                                                                                                               |
+| `alignment_mode` <Tag variant="new">3.5.1</Tag> | How character indices snap to token boundaries. Options: `"strict"` (no snapping), `"contract"` (span of all tokens completely within the character span), `"expand"` (span of all tokens at least partially covered by the character span). Defaults to `"strict"`. ~~str~~ |
+| **RETURNS**                                     | The newly constructed object or `None`. ~~Optional[Span]~~                                                                                                                                                                                                                   |
 
 ## Span.similarity {id="similarity",tag="method",model="vectors"}