# AI Language Detector Detect the language of text fragments and return language codes using AI > Canonical page: https://elysiatools.com/en/tools/ai-language-detector - **Category:** AI Tools - **Keywords:** language detection, text analysis, AI, language identification, multilingual, language code, translation ## Overview The AI Language Detector is a precise utility designed to identify the language of any text fragment instantly. By leveraging advanced AI models, it analyzes input text and returns the corresponding ISO language code, ensuring accurate classification for multilingual content workflows. ## Inputs - **Text Fragment** (textarea): Enter the text fragment you want to analyze for language detection ## When to use - When you need to categorize large volumes of user-generated content by language. - When building automated translation pipelines that require language identification before processing. - When verifying the language of incoming support tickets or customer feedback. ## How it works - Paste your text fragment into the input field. - Click the detect button to initiate the AI analysis. - Receive the identified language code in a clean JSON format. ## Use cases - Automating content routing for international customer support teams. - Filtering and organizing multilingual datasets for machine learning training. - Validating user input in web forms to ensure correct language settings. ## Frequently asked questions ### How accurate is the language detection? The tool uses high-performance AI models capable of identifying hundreds of languages with high precision, even in short text fragments. ### What format is the output? The output is provided in a structured JSON format containing the detected language code. ### Can it detect multiple languages in one text? The tool is optimized to identify the primary language of the provided text fragment. ### Is there a character limit for the input? You can input standard text fragments; for optimal results, ensure the text contains enough context for the AI to analyze. ### Does it support regional dialects? 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