innovatorved/whisper.api
This project provides an API with user level access support to transcribe speech to text using a finetuned and processed Whisper ASR model.
Implements asynchronous transcription with built-in concurrency control and request queuing via a FastAPI-based HTTP API, supporting quantized model variants (tiny.en.q5, base.en.q5) for efficient inference. Includes ffmpeg audio processing, token-based authentication for user access management, and Docker containerization for self-hosted deployment. The architecture uses uvicorn as the ASGI server with configurable parallel job limits via environment variables.
914 stars. Actively maintained with 22 commits in the last 30 days.
Stars
914
Forks
38
Language
Python
License
MIT
Category
Last pushed
Jan 02, 2026
Commits (30d)
22
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Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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