Voice Recognition OpenClaw Plugin & Skill | ClawHub
Looking to integrate Voice Recognition into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate ai & llms tasks instantly, without having to write custom tools from scratch.
What this skill does
Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization.
Install
openclaw skills install @gykdly/voice-recognitionnpx clawhub@latest install voice-recognitionFull SKILL.md
Open original| name | version | description |
|---|---|---|
| voice-recognition | 1.0.0 | Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization. |
SKILL.md content below is scrollable.
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 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