Audio & Transcript Tool
Video Audio Extractor & Speech Recognition
Extract audio from video and convert to text
Upload a file and process it without reading a long guide first.
1. Select File
2. Extract Audio
3. Audio to Text
Tips
- Supports most video formats (MP4, AVI, MOV, MKV, WEBM, FLV, etc.)
- Audio formats: MP3, WAV, AAC, M4A, OGG, FLAC, OPUS
- Speech recognition supports multiple languages: Chinese, English, Japanese, Korean
- Recognition results can be downloaded as text files
Optional Extraction Guide
You can extract audio or transcribe directly above. Read this only when you need more background.
Powerful video audio extraction and speech recognition tool supporting audio extraction from video files and audio-to-text conversion. Supports multiple video and audio formats, uses advanced AI speech recognition technology, supports Chinese, English, Japanese, Korean and other language recognition. Whether extracting background music from videos, creating audio files, or generating video subtitles, this tool can help you complete it easily.
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Key Features
- Audio extraction: Extract audio from videos, supports multiple audio format output (MP3, WAV, AAC, M4A, OGG, FLAC, OPUS)
- Speech recognition: AI-driven speech-to-text function supporting Chinese, English, Japanese, Korean and other languages
- Multiple format support: Supports MP4, AVI, MOV, MKV, WEBM, FLV and other mainstream video formats
Use Cases
Frequently Asked Questions
What video and audio formats are supported?
Video format support: MP4, AVI, MOV, MKV, WEBM, FLV, etc. Audio output format support: MP3, WAV, AAC, M4A, OGG, FLAC, OPUS. You can choose the appropriate format according to your needs.
What languages does speech recognition support?
Currently supports Chinese, English, Japanese, Korean and other languages. Recognition accuracy depends on audio quality and language clarity. It is recommended to use clear audio for best recognition results.
What is the recognition accuracy?
Recognition accuracy depends on multiple factors: audio quality, language clarity, background noise, etc. Under good audio conditions, recognition accuracy can usually reach over 90%. It is recommended to use clear audio without background noise.