
Speech To Text
- 20 installs
- Updated January 1, 1970
- inference-sh/agent-skills
Convert audio input to text, enabling voice-based interaction and transcription capabilities in applications.
About
An AI skill for converting speech to text. Developers use this to add voice input capabilities to applications, enable transcription workflows, and create voice-controlled interfaces.
- Audio transcription
- Voice input processing
- Real-time conversion
Speech To Text by the numbers
- 20 all-time installs (skills.sh)
- Ranked #10,454 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
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| Installs | 20 |
|---|---|
| Last updated | January 1, 1970 |
| Repository | inference-sh/agent-skills ↗ |
What it does
Convert audio input to text, enabling voice-based interaction and transcription capabilities in applications.
Files
Speech-to-Text
Transcribe audio to text via inference.sh CLI.

Quick Start
Requires inference.sh CLI (belt). Install instructionsbelt 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.jsonTranslation (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 transcriptionsegments: 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 250+ 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-videoBrowse 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