name: local-whisper description: Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes. metadata: {"clawdbot":{"emoji":"🎙️","requires":{"bins":["ffmpeg"]}}}
Local speech-to-text using OpenAI's Whisper. Fully offline after initial model download.
# Basic
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav
# Better model
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav --model turbo
# With timestamps
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav --timestamps --json
| Model | Size | Notes |
|---|---|---|
tiny |
39M | Fastest |
base |
74M | Default |
small |
244M | Good balance |
turbo |
809M | Best speed/quality |
large-v3 |
1.5GB | Maximum accuracy |
--model/-m — Model size (default: base)--language/-l — Language code (auto-detect if omitted)--timestamps/-t — Include word timestamps小蔥技能站7w4.net每天更新,海量AI技能等你發現。
--json/-j — JSON output--quiet/-q — Suppress progressUses uv-managed venv at .venv/. To reinstall:
cd ~/.clawdbot/skills/local-whisper
uv venv .venv --python 3.12
uv pip install --python .venv/bin/python click openai-whisper torch --index-url https://download.pytorch.org/whl/cpu
這是一款實用的本地語音轉文字工具,離線即可使用,安裝配置有文件指導。整體質量良好,核心轉錄功能穩定可靠,支援多種輸出格式和模型選擇。優點是操作簡單、結果準確、無需聯網;缺點是初次配置需要安裝多個依賴項,新手可能遇到困難,且沒有提供測試用的示例音訊檔案。適合有技術基礎的使用者使用。