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πŸ¦€ ClawHub

Local Whisper

by @araa47

Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.

Versionv1.0.0
Downloads12,171
Installs78
Stars⭐ 12
TERMINAL
clawhub install local-whisper

πŸ“– About This Skill


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":"πŸŽ™οΈ","requires":{"bins":["ffmpeg"]}}}

Local Whisper STT

Local speech-to-text using OpenAI's Whisper. Fully offline after initial model download.

Usage

# 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 β€” Model size (default: base)
  • --language/-l β€” Language code (auto-detect if omitted)
  • --timestamps/-t β€” Include word timestamps
  • --json/-j β€” JSON output
  • --quiet/-q β€” Suppress progress
  • Setup

    Uses 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
    

    πŸ’‘ Examples

    # 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

    βš™οΈ Configuration

  • --model/-m β€” Model size (default: base)
  • --language/-l β€” Language code (auto-detect if omitted)
  • --timestamps/-t β€” Include word timestamps
  • --json/-j β€” JSON output
  • --quiet/-q β€” Suppress progress