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BytesAgain β€Ί Skills β€Ί Speech To Text
πŸ¦€ ClawHub

Speech To Text

by @okaris

Transcribe audio to text with Whisper models via inference.sh CLI. Models: Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation,...

Versionv0.1.5
Downloads3,558
Installs33
#clawhub
TERMINAL
clawhub install speech-to-text

πŸ“– About This Skill

name: speech-to-text description: "Transcribe audio to text with Whisper models via inference.sh CLI. Models: Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation, multi-language, timestamps. 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" allowed-tools: Bash(infsh *)

Speech-to-Text

Transcribe audio to text via inference.sh CLI.

!Speech-to-Text

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login
infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://audio.mp3"}'

> Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

Available Models

| Model | App ID | Best For | |-------|--------|----------| | Fast Whisper V3 | infsh/fast-whisper-large-v3 | Fast transcription | | Whisper V3 Large | infsh/whisper-v3-large | Highest accuracy |

Examples

Basic Transcription

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

With Timestamps

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


  "audio_url": "https://podcast.mp3",


  "timestamps": true


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

Translation (to English)

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

From Video

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

infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": ""}'

Workflow: Video Subtitles

# 1. Transcribe video audio
infsh app run infsh/fast-whisper-large-v3 --input '{
  "audio_url": "https://video.mp4",
  "timestamps": true
}' > transcript.json
2. Use transcript for captions

infsh app run infsh/caption-videos --input '{
  "video_url": "https://video.mp4",
  "captions": ""
}'

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

    # Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@inference-sh
    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: infsh 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

    • ⚑ When to Use

    TriggerAction
    - **Podcasts**: Generate transcripts
    - **Subtitles**: Create captions for videos
    - **Voice Notes**: Convert to searchable text
    - **Interviews**: Transcription for research
    - **Accessibility**: Make audio content accessible

    πŸ’‘ Examples

    Basic Transcription

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

    With Timestamps

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

      "audio_url": "https://podcast.mp3",
    

      "timestamps": true
    

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

    Translation (to English)

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

    From Video

    # Extract audio from video first
infsh app run infsh/video-audio-extractor --input '{"video_url": "https://video.mp4"}' > audio.json
    Transcribe the extracted audio
    
infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": ""}'