speech-to-text

Original：🇺🇸 English

Not Translated

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

2installs

Sourceinfsh-skills/skills

Added on2026-04-27

NPX Install

npx skill4agent add infsh-skills/skills speech-to-text

SKILL.md Content

Speech-to-Text

Transcribe audio to text via inference.sh CLI.

Quick Start

Requires inference.sh CLI (
belt
). Install instructions

bash

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

bash

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

With Timestamps

bash

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)

bash

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

From Video

bash

# 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

bash

# 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

bash

# 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-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