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local-whisper

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

personAuthor: jakexiaohubgithub

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 — 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:

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