speech-to-text
Transcribe audio to text with Whisper models via inference.sh CLI. Models: Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation, multi-language, timestamps. 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
npx skills add majiayu000/claude-skill-registry --skill speech-to-text-balkonsen-ha-ai-gen-workflow --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Speech-to-Text Transcribe audio to text via [inference.sh](https://inference.sh) CLI.  ## Quick Start > Requires inference.sh CLI (`infsh`). Get installation instructions: `npx skills add inference-sh/skills@agent-tools` ```bash 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 ```bash infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://meeting.mp3"}' ``` ### With Timestamps ```bash 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) ```bash infsh app run infsh/whisper-v3-large --input '{ "audio_url": "https://french-audio.mp3", "task": "translate" }' ``` ### From Video ```bash # Ext
- Quick Start
- Available Models
- Examples
- Basic Transcription
- With Timestamps
- Translation (to English)
- From Video
- Workflow: Video Subtitles
- Supported Languages
- Use Cases
- Output Format
- Related Skills
- Documentation
infsh login
infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://audio.mp3"}'
infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://meeting.mp3"}'
infsh app sample infsh/fast-whisper-large-v3 --save input.json
infsh app run infsh/fast-whisper-large-v3 --input input.json
infsh app run infsh/whisper-v3-large --input '{
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>"}'What does the speech-to-text skill do?
Transcribe audio to text with Whisper models via inference.sh CLI. Models: Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation, multi-language, timestamps. 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
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill speech-to-text-balkonsen-ha-ai-gen-workflow --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.