About elevenlabs-stt
A belt CLI skill that transcribes audio with ElevenLabs Scribe models. It supports language detection, speaker diarization, audio event tags, and a separate forced-alignment workflow for precise timing.
Key features
- 01Transcribe audio with Scribe v1 or v2
- 02Detect language automatically or specify it
- 03Identify speakers with diarization
- 04Tag non-speech audio events
- 05Align known text with word-level timestamps
Use cases
- 01Transcribe recorded meetings with speaker labels
- 02Create podcast transcripts with event tags
- 03Prepare timed video subtitles
- 04Align dialogue for animation or karaoke
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/elevenlabs-sttin Claude Code to confirm it loaded.
Details
From the project READMEInstall the belt CLI skill:
npx skills add belt-sh/cli
ElevenLabs Speech-to-Text
High-accuracy transcription with Scribe models via inference.sh CLI.
Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
# Transcribe audio
belt app run elevenlabs/stt --input '{"audio": "https://audio.mp3"}'
Available Models
| Model | ID | Best For |
|---|---|---|
| Scribe v2 | scribe_v2 | Latest, highest accuracy (default) |
| Scribe v1 | scribe_v1 | Stable, proven |
- 98%+ transcription accuracy
- 90+ languages with auto-detection
Examples
Basic Transcription
belt app run elevenlabs/stt --input '{"audio": "https://meeting-recording.mp3"}'
With Speaker Identification
belt app run elevenlabs/stt --input '{
"audio": "https://meeting.mp3",
"diarize": true
}'
Audio Event Tagging
Detect laughter, applause, music, and other non-speech events:
belt app run elevenlabs/stt --input '{
"audio": "https://podcast.mp3",
"tag_audio_events": true
}'
Specify Language
belt app run elevenlabs/stt --input '{
"audio": "https://spanish-audio.mp3",
"language_code": "spa"
}'
Full Options
belt app run elevenlabs/stt --input '{
"audio": "https://conference.mp3",
"model": "scribe_v2",
"diarize": true,
"tag_audio_events": true,
"language_code": "eng"
}'
Forced Alignment
Get precise word-level and character-level timestamps by aligning known text to audio. Useful for subtitles, lip-sync, and karaoke.
belt app run elevenlabs/forced-alignment --input '{
"audio": "https://narration.mp3",
"text": "This is the exact text spoken in the audio file."
}'
Output Format
{
"words": [
{"text": "This", "start": 0.0, "end": 0.3},
{"text": "is", "start": 0.35, "end": 0.5},
{"text": "the", "start": 0.55, "end": 0.65}
],
"text": "This is the exact text spoken in the audio file."
}
Forced Alignment Use Cases
- Subtitles: Precise timing for video captions
- Lip-sync: Align audio to animated characters
- Karaoke: Word-by-word timing for lyrics
- Accessibility: Synchronized transcripts
Workflow: Video Subtitles
# 1. Transcribe video audio
belt app run elevenlabs/stt --input '{
"audio": "https://video.mp4",
"diarize": true
}' > transcript.json
# 2. Use transcript for captions
belt app run infsh/caption-videos --input '{
"video_url": "https://video.mp4",
"captions": "<transcript-from-step-1>"
}'
Supported Languages
90+ languages including: English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, Russian, Turkish, Dutch, Swedish, and many more. Leave language_code empty for automatic detection.
Use Cases
- Meetings: Transcribe recordings with speaker identification
- Podcasts: Generate transcripts with audio event tags
- Subtitles: Create timed captions for videos
- Research: Interview transcription with diarization
- Accessibility: Make audio content searchable and accessible
- Lip-sync: Forced alignment for animation timing
Related Skills
# ElevenLabs TTS (reverse direction)
npx skills add inference-sh/skills@elevenlabs-tts
# ElevenLabs dubbing (translate audio)
npx skills add inference-sh/skills@elevenlabs-dubbing
# Other STT models (Whisper)
npx skills add inference-sh/skills@speech-to-text
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli
Browse all audio apps: belt app list --category audio