| name | voice-recognition |
| description | Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization. |
| version | 1.0.0 |
Voice Recognition (Whisper)
Local speech-to-text with OpenAI Whisper CLI.
Features
- Local processing - No API key needed, free
- Multi-language - Chinese, English, 100+ languages
- Translation - Translate to English
- Summarization - Generate quick summary
Usage
Basic
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --zh
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --en
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --translate
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --summarize
Quick Command (add to ~/.zshrc)
alias voice="python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py"
Then use:
voice ~/Downloads/audio.m4a --zh
Requirements
- OpenAI Whisper CLI:
brew install openai-whisper
- Python 3.10+
Files
scripts/voice识别_升级版.py - Main scriptscripts/voice_tool_README.md - Documentation
Supported Formats
- MP3, M4A, WAV, OGG, FLAC, WebM
Language Support
100+ languages including:
- Chinese (zh)
- English (en)
- Japanese (ja)
- Korean (ko)
- And more...
Notes
- Default model:
medium (balance of speed and accuracy)
- First run downloads model to
~/.cache/whisper
- Processing time varies by audio length and model size
