The Harmful Speech Detection API is an application programming interface designed to analyze and categorize text content to determine if it contains offensive or inappropriate language.

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Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.

To use this API you must specify a word or text.

The Detect text endpoint returns an array of strings, where each string represents a detected offensive or harmful text. For example, a response might look like ["Offensive text"].

The Detect text endpoint requires a single parameter: the text or word you want to analyze for harmful content. This text should be provided in the request to receive a relevant response.

The response data is organized as a JSON array containing strings. Each string in the array indicates a specific piece of offensive content detected in the input text.

Users can customize their requests by varying the input text they provide to the Detect text endpoint. This allows for targeted analysis of specific phrases or words.

Typical use cases include monitoring social media for offensive comments, ensuring safe chat environments, moderating user-generated content on forums, and maintaining integrity in gaming communities.

Data accuracy is maintained through continuous updates and improvements to the detection algorithms, which are trained on diverse datasets to recognize various forms of harmful speech.

The primary field in the response is the string itself, which indicates the detected offensive text. Each entry in the array corresponds to a unique instance of harmful content identified in the input.

If the API returns an empty array, it indicates no harmful content was detected. Users should implement logic to handle such cases, possibly by logging or notifying users that the text is clean.

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