whisper-transcribe✓ Pass
Transcribe audio files to text using OpenAI Whisper. Supports speech-to-text with auto language detection, multiple output formats (txt, srt, vtt, json), batch processing, and model selection (tiny to large). Use when transcribing audio recordings, podcasts, voice messages, lectures, meetings, or any audio/video file to text. Handles mp3, wav, m4a, ogg, flac, webm, opus, aac formats.
// Install Skill
Install Skill
Skills are third-party code from public GitHub repositories. SkillHub scans for known malicious patterns but cannot guarantee safety. Review the source code before installing.
Install globally (user-level):
npx skillhub install openclaw/skills/whisper-transcribeInstall in current project:
npx skillhub install openclaw/skills/whisper-transcribe --projectskill.install.customTargetHelp
npx skillhub install openclaw/skills/whisper-transcribe --target-dir /path/to/skillsSuggested path: ~/.claude/skills/whisper-transcribe/
SKILL.md Content
---
name: whisper-transcribe
description: Transcribe audio files to text using OpenAI Whisper. Supports speech-to-text with auto language detection, multiple output formats (txt, srt, vtt, json), batch processing, and model selection (tiny to large). Use when transcribing audio recordings, podcasts, voice messages, lectures, meetings, or any audio/video file to text. Handles mp3, wav, m4a, ogg, flac, webm, opus, aac formats.
---
# Whisper Transcribe
Transcribe audio with `scripts/transcribe.sh`:
```bash
# Basic (auto-detect language, base model)
scripts/transcribe.sh recording.mp3
# German, small model, SRT subtitles
scripts/transcribe.sh --model small --language de --format srt lecture.wav
# Batch process, all formats
scripts/transcribe.sh --format all --output-dir ./transcripts/ *.mp3
# Word-level timestamps
scripts/transcribe.sh --timestamps interview.m4a
```
## Models
| Model | RAM | Speed | Accuracy | Best for |
|-------|-----|-------|----------|----------|
| tiny | ~1GB | ⚡⚡⚡ | ★★ | Quick drafts, known language |
| base | ~1GB | ⚡⚡ | ★★★ | General use (default) |
| small | ~2GB | ⚡ | ★★★★ | Good accuracy |
| medium | ~5GB | 🐢 | ★★★★★ | High accuracy |
| large | ~10GB | 🐌 | ★★★★★ | Best accuracy (slow on Pi) |
## Output Formats
- **txt** — Plain text transcript
- **srt** — SubRip subtitles (for video)
- **vtt** — WebVTT subtitles
- **json** — Detailed JSON with timestamps and confidence
- **all** — Generate all formats at once
## Requirements
- `whisper` CLI (`pip install openai-whisper`)
- `ffmpeg` (for audio decoding)
- First run downloads the model (~150MB for base)
License
Declared license: MIT
MIT License
Copyright (c) 2026 openclaw
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.View the license in the source repository — the version published there is authoritative.
// Install Skill
Install Skill
Skills are third-party code from public GitHub repositories. SkillHub scans for known malicious patterns but cannot guarantee safety. Review the source code before installing.
Install globally (user-level):
npx skillhub install openclaw/skills/whisper-transcribeInstall in current project:
npx skillhub install openclaw/skills/whisper-transcribe --projectskill.install.customTargetHelp
npx skillhub install openclaw/skills/whisper-transcribe --target-dir /path/to/skillsSuggested path: ~/.claude/skills/whisper-transcribe/