Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization.
Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Local speech-to-text with OpenAI Whisper CLI.
Local processing - No API key needed, free Multi-language - Chinese, English, 100+ languages Translation - Translate to English Summarization - Generate quick summary
# 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
alias voice="python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py" Then use: voice ~/Downloads/audio.m4a --zh
OpenAI Whisper CLI: brew install openai-whisper Python 3.10+
scripts/voice识别_升级版.py - Main script scripts/voice_tool_README.md - Documentation
MP3, M4A, WAV, OGG, FLAC, WebM
100+ languages including: Chinese (zh) English (en) Japanese (ja) Korean (ko) And more...
Default model: medium (balance of speed and accuracy) First run downloads model to ~/.cache/whisper Processing time varies by audio length and model size
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.