Individual skill
venice-audio-transcription
Transcribe audio files to text via POST /audio/transcriptions. Covers supported models (Parakeet, Whisper, Wizper, Scribe, xAI STT), accepted containers (wav/flac/m4a/aac/mp4/mp3/ogg/webm), response formats (json/text only), per-model timestamps (word/segment/char), language hints, the 25 MB cap, and per-audio-second pricing. OpenAI-compatible multipart.
skills/venice-audio-transcription/SKILL.md
Source commit 15a6fa63ff7466cd894ccc5bab91985e3b88f216
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Nov 10, 2026
- License
- MIT
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# Venice Transcription (`/audio/transcriptions`)
`POST /api/v1/audio/transcriptions` takes an audio file and returns text. It's OpenAI-compatible with `multipart/form-data` — the OpenAI SDK's `audio.transcriptions.create()` works unchanged.
| Method | Path | Auth | Notes |
|---|---|---|---|
| `POST` | `/api/v1/audio/transcriptions` | Bearer key or x402 (SIWX) | `multipart/form-data`, file field `file`, max 25 MB. Billed per second of audio. |
## Use when
- You need STT (speech-to-text) for voice notes, meetings, podcasts, short audio.
- You need word/segment timestamps for subtitles or chapters.
- You want to pick between Venice-hosted Parakeet, Whisper-family models, ElevenLabs Scribe, or xAI STT.
