speech-to-text
Provides speech-to-text functionality for agents using the inference.sh API.
npx skills add https://github.com/inferen-sh/skills --skill speech-to-textBefore / After Comparison
1 组Manually transcribing audio content is time-consuming and prone to errors, or using low-quality speech-to-text services results in low accuracy.
Utilizing high-quality speech-to-text capabilities to achieve efficient and accurate audio content transcription, thereby improving work efficiency.
speech-to-text
Speech-to-Text
Transcribe audio to text via inference.sh CLI.
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
-
Running Apps - How to run apps via CLI
-
Audio Transcription Example - Complete transcription guide
-
Apps Overview - Understanding the app ecosystem
Weekly Installs4.6KRepositoryinferen-sh/skillsGitHub Stars159First Seen6 days agoSecurity AuditsGen Agent Trust HubPassSocketPassSnykFailInstalled onclaude-code3.5Kgemini-cli3.3Kcodex3.3Kamp3.3Kgithub-copilot3.3Kkimi-cli3.3K
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