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Local Whisper

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

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  • Added May 30, 2026
developmentpythongobash

Works with

  • cli

Security analysis

A96/100
  • mediumInstalls packages at runtime which could introduce malicious dependencies

Pro scans all 2 files and shows the line behind each finding

Scanned May 30, 2026

npx -y skills add dvcrn/openclaw-skills-marketplace --skill local-whisper --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: local-whisper
description: "Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes."
---

# 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
```

Files in this skill

  • SKILL.md1.3 KB
  • scripts/transcribe.py2.5 KB

Attribution

dvcrnView sourceSee grades on GitHubMore from dvcrn

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