Overview
- Skill Key
- araa47/local-whisper
- Author
- araa47
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/araa47/local-whisper
- Latest Commit SHA
- 74a9c94207555e2a75df49bbe634d2caa3924ff7
Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 local-whisper 技能。 若已安装,则直接安装 local-whisper 技能。
# Local Whisper STT Local speech-to-text using OpenAI's Whisper. **Fully offline** after initial model download. ## Usage ```bash # 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 ``` ## Models | Model | Size | Notes | |-------|------|-------| | `tiny` | 39M | Fastest | | `base` | 74M | **Default** | | `small` | 244M | Good balance | | `turbo` | 809M | Best speed/quality | | `large-v3` | 1.5GB | Maximum accuracy | ## Options - `--model/-m` — Model size (default: base) - `--language/-l` — Language code (auto-detect if omitted) - `--timestamps/-t` — Include word timestamps - `--json/-j` — JSON output - `--quiet/-q` — Suppress progress ## Setup Uses uv-managed venv at `.venv/`. To reinstall: ```bash 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 ```
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