
Speech To Text
This hooks Claude up to ElevenLabs Scribe and Whisper models through the inference.sh CLI. You get three transcription options: ElevenLabs Scribe v2 with 98%+ accuracy and speaker diarization, Fast Whisper Large V3 for speed, or Whisper V3 Large for maximum accuracy. It handles timestamps, multi-language support, and translation to English. The workflow examples are solid, especially the video subtitling pipeline that chains transcription with caption generation. Works well for meeting recordings, podcasts, and voice notes. You'll need the belt CLI installed, but once that's done the commands are straightforward JSON over the command line.
- skills.sh installs
- 1.1K
- GitHub stars
- 804
- last updated
- Aug 21, 2026
Install
$ npx -y skills add inference-sh/skills --skill speech-to-text --agent claude-codeInstalls into .claude/skills of the current project.
Files
Install the belt CLI skill:
npx skills add belt-sh/cli
Speech-to-Text
Transcribe audio to text via inference.sh CLI.

Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
belt app run infsh/fast-whisper-large-v3 --input '{"audio": "https://audio.mp3"}'
Available Models
| Model | App ID | Best For |
|---|---|---|
| ElevenLabs Scribe v2 | elevenlabs/stt | 98%+ accuracy, diarization, 90+ languages |
| Fast Whisper V3 | infsh/fast-whisper-large-v3 | Fast transcription |
| Whisper V3 Large | infsh/whisper-v3-large | Highest accuracy |
Examples
Basic Transcription
belt app run infsh/fast-whisper-large-v3 --input '{"audio": "https://meeting.mp3"}'
With Timestamps
belt app sample infsh/fast-whisper-large-v3 --save input.json
# {
# "audio": "https://podcast.mp3",
# "return_timestamps": "sentence"
# }
Sponsors
Details
- Repository
- github.com/inference-sh/skills
- Categories
- Automation & Workflows, CLI & Terminal, Generative Media, Video & Audio Editing
- First seen
- Jun 3, 2026
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