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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
This project provides an API with user level access support to transcribe speech to text using a finetuned and processed Whisper ASR model.
| Date | Stars |
|---|---|
| 2026-07-24 | 916 |
| 2026-07-25 | 916 |
| 2026-07-28 | 916 |
| 2026-07-30 | 915 |
| 2026-08-06 | 915 |
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0.0
growth rate 0.00%/day
---
title: whisper.api
emoji: 😶🌫️
colorFrom: purple
colorTo: gray
sdk: docker
app_file: Dockerfile
app_port: 7860
---
# Whisper API 🎙️
An open-source, high-performance, self-hosted API for speech-to-text transcription powered by [whisper.cpp](https://github.com/ggerganov/whisper.cpp).
This project provides a **Deepgram-compatible** interface (REST & WebSocket), making it easy to integrate into existing workflows while maintaining full data ownership.
---
## Key Features
- **Standardized API**: Drop-in compatible with `/v1/listen` endpoints.
- **Advanced Transcription**: Custom vocabulary (prompting), audio cropping (`start`/`duration`), and speaker diarization.
- **Flexible Formats**: Native support for **JSON**, **SRT**, and **VTT** exports.
- **Live Streaming**: Real-time 16kHz PCM transcription via WebSockets.
- **Offline Management**: Simple CLI for secure API key generation and model management.
---
## Documentation
Documentation lives in the `docs/` folder (Astro Starlight). Run it locally with Bun:
```bash
cd docs && bun install && bun run dev
```
What you will find in the docs:
- Getting started and local setup
- Authentication and API keys
- REST and WebSocket API reference
- Code examples
- Models and deployment guides
- Contributing workflow
---
## Quick Start
### 1. Installation
```bash
pip install -r requirements.txt
cp .env.example .env
chmod +x setup_whisper.sh
./setup_whisper.sh
```
### 2. Setup Database & Keys
```bash
python -m app.cli init
python -m app.cli create --name "MyAdminKey"
```
*Note: For **local testing only**, you can enable `POST /v1/auth/test-token` in Swagger by setting `ENABLE_TEST_TOKEN_ENDPOINT=true`. It defaults to **off**; never enable it in production.*
### 3. Start the Server
```bash
uvicorn app.main:app --host 0.0.0.0 --port 7860
```
### 4. Transcribe a File (cURL)
```bash
curl -X POST 'http://localhost:7860/v1/listen' \
-H "Authorization: Token <YOUR_KEY>" \
-H "Content-Type: audio/wav" \
--data-binary @audio.wav
```
### 5. Transcribe from URL (cURL)
```bash
curl -X POST 'http://localhost:7860/v1/listen' \
-H "Authorization: Token <YOUR_KEY>" \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com/audio.mp3"}'
```
The server fetches the URL for you with **SSRF protections** (public hosts only, size limits; redirects off by default). See `docs/` or `.env.example` for `MAX_AUDIO_DOWNLOAD_BYTES`, `AUDIO_URL_FOLLOW_REDIRECTS`, and related settings.
---
## License & References
[MIT License](https://choosealicense.com/licenses/mit/)
- [whisper.cpp](https://github.com/ggerganov/whisper.cpp)
- [OpenAI Whisper](https://github.com/openai/whisper)
**Author:** [Ved Gupta](https://www.github.com/innovatorved)
Excerpt of 2,745 characters
Read on GitHub
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1729badb76155af8, topic:asr, topic:whisper, desc:speech-to-text