About

Imported from inference-sh/skills (tools/audio/speech-to-text/SKILL.md) via skills.sh. Install upstream with npx skills add inference-sh/skills --skill speech-to-text. Copyright stays with the author.

Install the belt CLI skill: npx skills add belt-sh/cli

Speech-to-Text

Name: speech-to-text
Author: inference-sh

Transcribe audio to text via inference.sh CLI.

Speech-to-Text

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

belt app run infsh/fast-whisper-large-v3 --input '{"audio_url": "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_url": "https://meeting.mp3"}'

With Timestamps

belt app sample infsh/fast-whisper-large-v3 --save input.json

# {
#   "audio_url": "https://podcast.mp3",
#   "timestamps": true
# }

belt app run infsh/fast-whisper-large-v3 --input input.json

Translation (to English)

belt app run infsh/whisper-v3-large --input '{
  "audio_url": "https://french-audio.mp3",
  "task": "translate"
}'

From Video

# Extract audio from video first
belt app run infsh/video-audio-extractor --input '{"video_url": "https://video.mp4"}' > audio.json

# Transcribe the extracted audio
belt app run infsh/fast-whisper-large-v3 --input '{"audio_url": "<audio-url>"}'

Workflow: Video Subtitles

# 1. Transcribe video audio
belt app run infsh/fast-whisper-large-v3 --input '{
  "audio_url": "https://video.mp4",
  "timestamps": 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

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

# 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 - How to run apps via CLI
Audio Transcription Example - Complete transcription guide
Apps Overview - Understanding the app ecosystem

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/inference-sh-skills-speech-to-text/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

inference-sh-skills-speech-to-text.ocm.jsonjson

{
  "ocm": "1",
  "id": "inference-sh-skills-speech-to-text",
  "kind": "skill",
  "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",
  "publisher": "inference-sh",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "math"
    ],
    "tags": [
      "skill-md",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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"
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/inference-sh/skills",
      "path": "tools/audio/speech-to-text/SKILL.md",
      "ref": "HEAD",
      "url": "https://www.skills.sh/inference-sh/skills/speech-to-text",
      "key": "inference-sh/skills/tools/audio/speech-to-text/SKILL.md"
    },
    "allowed_tools": [
      "Bash(belt",
      "*)"
    ]
  },
  "instructions": "> **Install the belt CLI skill:** `npx skills add belt-sh/cli`\n\n# Speech-to-Text\n\nTranscribe audio to text via [inference.sh](https://inference.sh) CLI.\n\n![Speech-to-Text](https://cloud.inference.sh/u/4mg21r6ta37mpaz6ktzwtt8krr/01jz025e88nkvw55at1rqtj5t8.png)\n\n## Quick Start\n\n> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)\n\n```bash\nbelt login\n\nbelt app run infsh/fast-whisper-large-v3 --input '{\"audio_url\": \"https://audio.mp3\"}'\n```\n\n\n## Available Models\n\n| Model | App ID | Best For |\n|-------|---",
  "cost": {
    "context_tokens": 888
  }
}

Fetch it by URL: GET /api/v1/registry/inference-sh-skills-speech-to-text/manifest?version=1.0.0

Reviews

Star ratings from people who tried it. One review per account; edit yours any time.

No reviews yet. Install it, try it, and be the first to rate it.