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Text Similarity API

The Text Similarity API computes the similarity score between two pieces of text. It uses state-of-the-art NLP machine learning models to first embed (see our Embddings API) the texts into 768-dimension vectors, and then computes the cosine similarity between the two vectors.

(4.3)

From 6,123 users

API Status

Online - All Systems Operational

API Response Times

Average
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407ms435ms449ms746ms1321ms

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/v1/textsimilarity POST

https://api.api-ninjas.com/v1/textsimilarity

Returns a similarity score between 0 and 1 (1 is similar and 0 is dissimilar) of two given texts.

Body Parameters

  • text_1  required

    First input text. Maximum 5000 characters.

  • text_2  required

    Second input text. Maximum 5000 characters.

Headers

  • X-Api-Key  required

    API Key associated with your account.

Response

  • similarity

    Similarity score between 0 and 1, where 1 indicates identical texts and 0 indicates completely different texts.

Sample Request Live Demo!

text_1
text_2

Try this API endpoint with all available parameters in our API playground

https://api.api-ninjas.com/v1/textsimilarity

Headers

X-Api-KeyLog in or sign up to get your API Key

Sample Response

JSON
1 2 3 { "similarity": 0.7749438285827637 }

Code Examples

1 2 3 4 curl -X POST "https://api.api-ninjas.com/v1/textsimilarity" \ -H "X-Api-Key: YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"text_1": "This is an example sentence.", "text_2": "This is just another example sentence."}'

If your programming language is not listed in the Code Example above, you can still make API calls by using a HTTP request library written in your programming language and following the above documentation.