Identify and label different languages in mixed audio. Notes language switches, estimates non-English content, and maps language use throughout the audio.
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Multi-Language Detector is an AI-powered tool that identifies and labels different languages in mixed audio, noting language switches, estimating non-English content, and mapping language use throughout the audio. It analyzes audio to identify all languages spoken, detect when language switches occur, provide rough translations of non-English content when possible, determine primary and secondary languages, and note code-switching patterns, dialects, or mixed language use. The tool creates a language map showing when different languages are used, making it valuable for multilingual content analysis, language learning assessment, content creators working with multiple languages, researchers studying multilingual communication, or anyone needing to identify and track language use in audio content.
Upload your audio content and the AI analyzes language use systematically. It identifies all languages spoken in the content. Language switch detection finds when languages change. Primary language determination identifies the main language used. Secondary language identification notes additional languages present. Translation attempts provide rough translations of non-English content when possible. Code-switching analysis examines patterns of switching between languages. Dialect recognition identifies regional variations. The tool creates a comprehensive language map showing which languages are used, when language switches occur, approximate timestamps for each language section, and how languages are mixed. It provides detailed analysis of multilingual content, helping you understand language use patterns. You can list suspected languages in the notes field to help refine detection.
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