How do I install the Elevenlabs Stt skill?

Run npx skillmds@latest add inference-sh/elevenlabs-stt-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Elevenlabs Stt safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Elevenlabs Stt?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Elevenlabs Stt free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Elevenlabs Stt?

inference.sh (@inference-sh) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Elevenlabs Stt by inference-sh — Agent Skill

Name: Elevenlabs Stt
Rating: 4.2 (5 reviews)
Author: inference.sh

Elevenlabs Stt

ElevenLabs speech-to-text with Scribe models and forced alignment via inference.sh CLI. Models: Scribe v1/v2 (98%+ accuracy, 90+ languages). Capabilities: transcription, speaker diarization, audio event tagging, word-level timestamps, forced alignment, subtitle generation. Use for: meeting transcription, subtitles, podcast transcripts, lip-sync timing, karaoke. Triggers: elevenlabs stt, elevenlabs transcription, scribe, elevenlabs speech to text, forced alignment, word alignment, subtitle timing, diarization, speaker identification, audio event detection, eleven labs transcribe

inference.sh Updated Sep 22, 2026 584 repo stars

File contents

Install 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

---name: elevenlabs-stt-2description: ElevenLabs speech-to-text with Scribe models and forced alignment via inference.sh CLI. Models: Scribe v1/v2 (98%+ accuracy, 90+ languages). Capabilities: transcription, speaker diarization, audio event tagging, word-level timestamps, forced alignment, subtitle generation. Use for: meeting transcription, subtitles, podcast transcripts, lip-sync timing, karaoke. Triggers: elevenlabs stt, elevenlabs transcription, scribe, elevenlabs speech to text, forced alignment, word alignment, subtitle timing, diarization, speaker identification, audio event detection, eleven labs transcribe---> **Install the belt CLI skill:** `npx skills add belt-sh/cli`# ElevenLabs Speech-to-TextHigh-accuracy transcription with Scribe models via [inference.sh](https://inference.sh) CLI.![ElevenLabs STT](https://cloud.inference.sh/u/4mg21r6ta37mpaz6ktzwtt8krr/01jz025e88nkvw55at1rqtj5t8.png)## Quick Start> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)```bashbelt login# Transcribe audiobelt 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```bashbelt app run elevenlabs/stt --input '{"audio": "https://meeting-recording.mp3"}'```### With Speaker Identification```bashbelt app run elevenlabs/stt --input '{ "audio": "https://meeting.mp3", "diarize": true}'```### Audio Event TaggingDetect laughter, applause, music, and other non-speech events:```bashbelt app run elevenlabs/stt --input '{ "audio": "https://podcast.mp3", "tag_audio_events": true}'```### Specify Language```bashbelt app run elevenlabs/stt --input '{ "audio": "https://spanish-audio.mp3", "language_code": "spa"}'```### Full Options```bashbelt app run elevenlabs/stt --input '{ "audio": "https://conference.mp3", "model": "scribe_v2", "diarize": true, "tag_audio_events": true, "language_code": "eng"}'```## Forced AlignmentGet precise word-level and character-level timestamps by aligning known text to audio. Useful for subtitles, lip-sync, and karaoke.```bashbelt app run elevenlabs/forced-alignment --input '{ "audio": "https://narration.mp3", "text": "This is the exact text spoken in the audio file."}'```### Output Format```json{ "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```bash# 1. Transcribe video audiobelt 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 1belt app run infsh/caption-videos --input '{ "video_file": "https://video.mp4", "segments": [{"start": 0.0, "end": 2.5, "text": "<text-from-step-1>"}]}'```## Supported Languages90+ 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```bash# 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`

Frequently asked questions