The Language ID API is a tool designed to quickly detect the language of any text, providing both the language name and its ISO639 code. It is ideal for multilingual workflows and customization.

The API guarantees accuracy and effectiveness in linguistic analysis with a minimum requirement of only 10 words in the text fragment.

Common use cases include customizing workflows, adapting content based on detected languages, and integrating into applications that require support for multiple languages.

Yes, the API is designed to be simple to implement, making it suitable for developers who want to add language detection capabilities to their projects without hassle.

Absolutely! The Language ID API is built for fast responses, making it perfect for companies that need to identify the language of texts in real time to optimize their systems and improve user experience.

The Detect Language endpoint returns the detected language name, its ISO639 code, the input type, the original input text, and the size of the input text. This information helps integrate language detection into various workflows.

The key fields in the response data include "status," "result" (detected language), "result_ISO639" (ISO639 code), "input_type," "input" (original text), and "input_size" (number of characters in the input).

The response data is structured in JSON format, with a clear hierarchy. The "status" field indicates success, while "result" and "result_ISO639" provide language details. Additional fields give context about the input text.

The Detect Language endpoint accepts a single parameter, "text," which should contain at least 10 words. This parameter allows users to submit the text they want to analyze for language detection.

Users can utilize the returned data by integrating the detected language and its ISO639 code into their applications, enabling customized content delivery, user interface adjustments, or multilingual support based on the identified language.

Typical use cases include enhancing user experience in multilingual applications, automating content translation processes, and tailoring marketing strategies based on the language preferences of users.

Data accuracy is maintained through robust algorithms that analyze linguistic patterns in the input text. The API is designed to provide reliable results, especially with the minimum text requirement of 10 words.

If users receive partial or empty results, they should ensure that the input text meets the minimum requirement of 10 words. Additionally, they can check for any formatting issues or try different text samples for better detection.

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