Agent Skills
› NeverSight/learn-skills.dev
› speech-to-text
speech-to-text
GitHub通过inference.sh CLI调用Whisper模型，将音频转录为文本。支持多语言、翻译、时间戳及视频字幕生成，适用于会议记录、播客和语音笔记等场景。
Trigger Scenarios
speech to text
transcription
whisper
audio to text
transcribe audio
voice to text
stt
automatic transcription
subtitles generation
transcribe meeting
audio transcription
whisper ai
Install
npx skills add NeverSight/learn-skills.dev --skill speech-to-text -g -y
SKILL.md
Frontmatter
{
"name": "speech-to-text",
"description": "Transcribe audio to text with Whisper models via inference.sh CLI.\nModels: Fast Whisper Large V3, Whisper V3 Large.\nCapabilities: transcription, translation, multi-language, timestamps.\nUse for: meeting transcription, subtitles, podcast transcripts, voice notes.\nTriggers: speech to text, transcription, whisper, audio to text, transcribe audio,\nvoice to text, stt, automatic transcription, subtitles generation,\ntranscribe meeting, audio transcription, whisper ai\n",
"allowed-tools": "Bash(infsh *)"
}
Speech-to-Text
Transcribe audio to text via inference.sh CLI.
Quick Start
curl -fsSL https://cli.inference.sh | sh && infsh login
infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://audio.mp3"}'
Available Models
| Model | App ID | Best For |
|---|---|---|
| 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 transcriptionsegments: Timestamped segments (if requested)language: Detected language
Related Skills
# Full platform skill (all 150+ apps)
npx skills add inferencesh/skills@inference-sh
# Text-to-speech (reverse direction)
npx skills add inferencesh/skills@text-to-speech
# Video generation (add captions)
npx skills add inferencesh/skills@ai-video-generation
# AI avatars (lipsync with transcripts)
npx skills add inferencesh/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
Version History
- e0220ca Current 2026-07-05 20:49
Dependencies
-
suggested
inferencesh/skills@inference-sh -
suggested
inferencesh/skills@text-to-speech -
suggested
inferencesh/skills@ai-video-generation -
suggested
inferencesh/skills@ai-avatar-video
