← ClaudeAtlas

speech-to-textlisted

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
aiskillstore/marketplace · ★ 329 · AI & Automation · score 82
Install: claude install-skill aiskillstore/marketplace
# Speech-to-Text Transcribe audio to text via [inference.sh](https://inference.sh) CLI. ![Speech-to-Text](https://cloud.inference.sh/u/4mg21r6ta37mpaz6ktzwtt8krr/01jz025e88nkvw55at1rqtj5t8.png) ## Quick Start ```bash curl -fsSL https://cli.inference.sh | sh && infsh login infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://audio.mp3"}' ``` > **Install note:** The [install script](https://cli.inference.sh) only detects your OS/architecture, downloads the matching binary from `dist.inference.sh`, and verifies its SHA-256 checksum. No elevated permissions or background processes. [Manual install & verification](https://dist.inference.sh/cli/checksums.txt) available. ## 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 # Extract audio from vi