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

# Chinese recognition
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a

# Force Chinese
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --zh

# English recognition  
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --en

# Translate to English
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --translate

# With summary
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 script
• scripts/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