tools/audio/speech-to-text/SKILL.md
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
npx skillsauth add 1nfsh/s speech-to-textInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Install the belt CLI skill:
npx skills add belt-sh/cli
Transcribe audio to text via inference.sh CLI.

Requires inference.sh CLI (
belt). Install instructions
belt login
belt app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://audio.mp3"}'
| 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 |
belt app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://meeting.mp3"}'
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
belt app run infsh/whisper-v3-large --input '{
"audio_url": "https://french-audio.mp3",
"task": "translate"
}'
# 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>"}'
# 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>"
}'
Whisper supports 99+ languages including: English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, Russian, and many more.
Returns JSON with:
text: Full transcriptionsegments: Timestamped segments (if requested)language: Detected language# 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 store --category audio
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