To use this API, users will have to indicate a text to obtain the language in which it is written.

The Language Classifier API is a service designed to identify and categorize the language of a given piece of text, enabling developers to incorporate language recognition capabilities into their applications.

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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.

The Language Classifier API returns a JSON object containing the identified languages of the input text. The response includes an array of language codes corresponding to the detected languages.

The key field in the response data is "languages," which is an array listing the language codes (e.g., ["en", "vi"]) of the detected languages for the provided text.

The primary parameter for the GET Language detection endpoint is the text input, which must be provided to identify the language. No additional parameters are required.

The response data is organized in a JSON format, with a single key "languages" that contains an array of detected language codes. This structure allows for easy parsing and integration into applications.

Typical use cases include multilingual content processing, customer support routing, content moderation, personalized e-learning experiences, and news aggregation tailored to user language preferences.

Data accuracy is maintained through the use of advanced linguistic models and algorithms that analyze text characteristics. Continuous updates and improvements to these models help ensure reliable language detection.

Users can utilize the returned data by integrating the language codes into their applications to customize content delivery, route support inquiries, or enhance user experiences based on language preferences.

Users can expect the response to typically include one or more language codes, depending on the text's complexity. For example, a simple English sentence may return ["en"], while a multilingual text could return multiple codes like ["en", "fr"].

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