//- 💫 DOCS > USAGE > VISUALIZERS > ENTITIES p | The entity visualizer, #[code ent], highlights named entities and | their labels in a text. +code("Named Entity example"). import spacy from spacy import displacy text = """But Google is starting from behind. The company made a late push into hardware, and Apple’s Siri, available on iPhones, and Amazon’s Alexa software, which runs on its Echo and Dot devices, have clear leads in consumer adoption.""" nlp = spacy.load('custom_ner_model') doc = nlp(text) displacy.serve(doc, style='ent') +codepen("a73f8b68f9af3157855962b283b364e4", 345) p The entity visualizer lets you customise the following #[code options]: +table(["Name", "Type", "Description", "Default"]) +row +cell #[code ents] +cell list +cell | Entity types to highlight (#[code None] for all types). +cell #[code None] +row +cell #[code colors] +cell dict +cell | Color overrides. Entity types in lowercase should be mapped to | color names or values. +cell #[code {}] p | If you specify a list of #[code ents], only those entity types will be | rendered – for example, you can choose to display #[code PERSON] entities. | Internally, the visualizer knows nothing about available entity types and | will render whichever spans and labels it receives. This makes it | especially easy to work with custom entity types. By default, displaCy | comes with colours for all | #[+a("/api/annotation#named-entities") entity types supported by spaCy]. | If you're using custom entity types, you can use the #[code colors] | setting to add your own colours for them. +aside-code("Options example"). colors = {'ORG': 'linear-gradient(90deg, #aa9cfc, #fc9ce7)'} options = {'ents': ['ORG'], 'colors': colors} displacy.serve(doc, style='ent', options=options) +codepen("f42ec690762b6f007022a7acd6d0c7d4", 300) p | The above example uses a little trick: Since the background colour values | are added as the #[code background] style attribute, you can use any | #[+a("https://tympanus.net/codrops/css_reference/background/") valid background value] | or shorthand — including gradients and even images! +h(3, "ent-titles") Adding titles to documents p | Rendering several large documents on one page can easily become confusing. | To add a headline to each visualization, you can add a #[code title] to | its #[code user_data]. User data is never touched or modified by spaCy. +code. doc = nlp(u'This is a sentence about Google.') doc.user_data['title'] = 'This is a title' displacy.serve(doc, style='ent') p | This feature is espeically handy if you're using displaCy to compare | performance at different stages of a process, e.g. during training. Here | you could use the title for a brief description of the text example and | the number of iterations.