The Censure Text endpoint returns a JSON object containing the original text, the censored version, and a boolean indicating whether profanity was detected. This allows developers to easily identify and manage offensive language in user-generated content.

The key fields in the response data include "original" (the input text), "censored" (the modified text with profanity replaced), and "has_profanity" (a boolean indicating the presence of offensive language).

The response data is structured as a JSON object. It includes three main fields: "original," "censored," and "has_profanity," making it easy for developers to parse and utilize the information in their applications.

The Censure Text endpoint accepts a single parameter: the text to be analyzed, with a maximum length of 1,000 characters. This allows users to customize their requests based on the content they wish to filter.

Users can utilize the returned data by checking the "has_profanity" field to determine if action is needed. The "censored" field can be displayed to users, ensuring a clean and respectful environment while retaining the context of the original message.

The Censorship API uses an extensive database that includes various forms of profanity, racial slurs, and vulgar language. This database is regularly updated to maintain accuracy and relevance in identifying offensive content.

Data accuracy is maintained through continuous updates to the profanity database and the use of advanced machine learning techniques. This ensures that the API adapts to evolving language and slang, providing reliable content moderation.

Typical use cases for the Censorship API include moderating comments on social media, filtering chat messages in gaming communities, and sanitizing product reviews on e-commerce sites. These applications help create safer online environments.

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