speech-to-text
Transcribe audio to text with ElevenLabs Scribe and Whisper models via inference.sh CLI. Models: ElevenLabs Scribe v2 (98%+ accuracy, diarization), Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation, multi-language, timestamps, speaker diarization, audio event tagging. Use for: meeting transcription, subtitles, podcast transcripts, voice notes. Triggers: speech to text, transcription, whisper, audio to text, transcribe audio, voice to text, stt, automatic transcription, subtitles generation, transcribe meeting, audio transcription, whisper ai, elevenlabs stt, scribe, eleven labs transcribe
Informações da origem
- Repositório
- inference-sh/skills
- Última atividade na origem
- 17 de setembro de 2026 às 13:24
- Idioma detectado do SKILL.md
- inglês
- Estrelas
- 756
- Forks
- 103
Opções de instalação
Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.
Revise os arquivos de origem
Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.
Exibindo SKILL.md
SKILL.md
Instruções da origem · Visualização somente leitura- name
- speech-to-text
- description
- Transcribe audio to text with ElevenLabs Scribe and Whisper models via inference.sh CLI. Models: ElevenLabs Scribe v2 (98%+ accuracy, diarization), Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation, multi-language, timestamps, speaker diarization, audio event tagging. Use for: meeting transcription, subtitles, podcast transcripts, voice notes. Triggers: speech to text, transcription, whisper, audio to text, transcribe audio, voice to text, stt, automatic transcription, subtitles generation, transcribe meeting, audio transcription, whisper ai, elevenlabs stt, scribe, eleven labs transcribe
- allowed-tools
- Bash(belt *)
> **Install the belt CLI skill:** `npx skills add belt-sh/cli`
# Speech-to-Text
Transcribe audio to text via [inference.sh](https://inference.sh) CLI.
## Quick Start
> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)
```bash
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
```bash
belt app run infsh/fast-whisper-large-v3 --input '{"audio": "https://meeting.mp3"}'
```
### With Timestamps
```bash
belt app sample infsh/fast-whisper-large-v3 --save input.json
# {
# "audio": "https://podcast.mp3",
# "return_timestamps": "sentence"
# }
belt app run infsh/fast-whisper-large-v3 --input input.json
```
### Translation (to English)
```bash
belt app run infsh/whisper-v3-large --input '{
"audio": "https://french-audio.mp3",
"task": "translate"
}'
```
### From Video
```bash
# Extract audio from video first
belt app run infsh/video-audio-extractor --input '{"video_file": "https://video.mp4"}' > audio.json
# Transcribe the extracted audio
belt app run infsh/fast-whisper-large-v3 --input '{"audio": "<audio-url>"}'
```
## Workflow: Video Subtitles
```bash
# 1. Transcribe video audio
belt app run infsh/fast-whisper-large-v3 --input '{
"audio": "https://video.mp4",
"return_timestamps": "sentence"
}' > transcript.json
# 2. Pass the transcript segments as captions
belt app run infsh/caption-videos --input '{
"video_file": "https://video.mp4",
"segments": [{"start": 0.0, "end": 2.5, "text": "<segments-from-step-1>"}]
}'
```
## Supported Languages
Whisper supports 99+ languages including:
English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, Russian, and many more.
## Use Cases
- **Meetings**: Transcribe recordings
- **Podcasts**: Generate transcripts
- **Subtitles**: Create captions for videos
- **Voice Notes**: Convert to searchable text
- **Interviews**: Transcription for research
- **Accessibility**: Make audio content accessible
## Output Format
Returns JSON with:
- `text`: Full transcription
- `segments`: Timestamped segments (if requested)
- `language`: Detected language
## Related Skills
```bash
# ElevenLabs STT (98%+ accuracy, diarization)
npx skills add inference-sh/skills@elevenlabs-stt
# ElevenLabs TTS (reverse direction)
npx skills add inference-sh/skills@elevenlabs-tts
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli
# Text-to-speech (reverse direction)
npx skills add inference-sh/skills@text-to-speech
# Video generation (add captions)
npx skills add inference-sh/skills@ai-video-generation
# AI avatars (lipsync with transcripts)
npx skills add inference-sh/skills@ai-avatar-video
```
Browse all audio apps: `belt app list --category audio`
## Documentation
- [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI
- [Audio Transcription Example](https://inference.sh/docs/examples/audio-transcription) - Complete transcription guide
- [Apps Overview](https://inference.sh/docs/apps/overview) - Understanding the app ecosystem
Ver no GitHub