venice-audio-transcription
Installation
SKILL.md
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.
Use when
- You need STT (speech-to-text) for voice notes, meetings, podcasts, short audio.
- You need timestamps for subtitles / chapters.
- You want to pick between fast local-style models (Parakeet) and large multilingual ones (Whisper, Wizper, Scribe).
For long video / YouTube transcription, see venice-video's /video/transcriptions (takes a public video URL directly).