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Productivity

speech-to-text▌

inferen-sh/skills · updated Apr 8, 2026

$npx skills add https://github.com/inferen-sh/skills --skill speech-to-text
summary

Transcribe audio to text using ElevenLabs Scribe or Whisper models via inference.sh CLI.

  • ›Three model options: ElevenLabs Scribe v2 (98%+ accuracy with diarization), Fast Whisper V3, and Whisper V3 Large for varying speed/accuracy tradeoffs
  • ›Supports 99+ languages, optional timestamps, speaker diarization, and translation to English
  • ›Common workflows include meeting transcription, podcast transcripts, video subtitles, and voice note conversion
  • ›Requires inference.sh CLI ( infsh ) inst
skill.md

Speech-to-Text

Transcribe audio to text via inference.sh CLI.

Speech-to-Text

Quick Start

Requires inference.sh CLI (infsh). Install instructions

infsh login

infsh 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

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": "<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": "<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

# 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 150+ 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: infsh app list --category audio

Documentation