To use this API, users must indicate 2 texts to obtain a text similarity comparison.

Semantic Similarity API is a powerful tool designed to evaluate and quantify similarity between fragments of text, emphasizing a nuanced understanding of language.

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The Text Similarity endpoint returns a JSON object containing a single key, "similarity," which represents the quantified similarity score between the two input texts, ranging from 0 (no similarity) to 1 (identical).

The primary field in the response data is "similarity," which indicates the degree of similarity between the provided text fragments. This score helps users assess how closely related the texts are.

Users must provide two parameters: the first text and the second text for comparison. These texts should be in string format and can vary in length and complexity.

The response data is structured as a JSON object. It contains a single key-value pair, where the key is "similarity" and the value is a floating-point number representing the similarity score.

The Text Similarity endpoint provides information on the semantic similarity between two text fragments, allowing users to understand how closely related the contents are in terms of meaning and context.

Users can customize their requests by varying the input texts they provide. Different combinations of texts will yield different similarity scores, allowing for tailored comparisons based on specific needs.

The Semantic Similarity API employs advanced NLP algorithms that are continuously refined and trained on diverse datasets to ensure high accuracy in assessing textual similarities, accounting for contextual nuances.

Typical use cases include plagiarism detection in academic submissions, content deduplication in databases, document comparison in legal contexts, and enhancing search relevance in SEO strategies.

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