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Speech-to-Text

speech-to-text

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

inference-sh/skills1Kinstalls760stars

SKILL.md

Full skill instructions

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

Speech-to-Text

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": "https://audio.mp3"}'

Available Models

ModelApp IDBest For
ElevenLabs Scribe v2elevenlabs/​stt98%+ accuracy, diarization, 90+ languages
Fast Whisper V3infsh/​fast-whisper-large-v3Fast transcription
Whisper V3 Largeinfsh/​whisper-v3-largeHighest accuracy

Examples

Basic Transcription

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

With Timestamps

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

# {
#   "audio": "https://podcast.mp3",
#   "return_timestamps": "sentence"
# }

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

Translation (to English)

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

From Video

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

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

Workflow: Video Subtitles

# 1. Transcribe video audio
belt app run infsh/​fast-whisper-large-v3 --input '{
  "audio": "https://video.mp4",
  "return_timestamps": "sentence"
}' > transcript.json

# 2. Pass the transcript segments as captions
belt app run infsh/​caption-videos --input '{
  "video_file": "https://video.mp4",
  "segments": [{"start": 0.0, "end": 2.5, "text": "<segments-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

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