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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.

Introduction

# 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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