About elevenlabs-stt
elevenlabs-stt is a skill for transcribing audio with ElevenLabs Scribe models through the inference.sh CLI. It supports speaker identification, audio event tagging, and forced alignment of known text for transcription and caption workflows.
Key features
- 01Transcribe audio with Scribe v1 or v2
- 02Detect languages or specify a language code
- 03Identify speakers
- 04Tag laughter, applause, and other audio events
- 05Produce word- and character-level timestamps
Use cases
- 01Transcribe meetings with speaker identification
- 02Tag audio events in podcast transcripts
- 03Create timing data for video subtitles
- 04Align known text to audio for captions or karaoke
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ inference-sh/ skills --skill elevenlabs-sttAfter 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. Build caption segments (start, end, text) from the word timestamps in step 1
belt app run infsh/caption-videos --input '{
"video_file": "https://video.mp4",
"segments": [{"start": 0.0, "end": 2.5, "text": "<text-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