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The Whisper API provides both a Deepgram-compatible REST & WebSocket interface (/v1/listen) and an OpenAI-compatible Audio API (/v1/audio/transcriptions and /v1/audio/translations) for pre-recorded audio transcription, translation, and model management.
Endpoints Overview
| Method | Endpoint | Description |
|--------|----------|-------------|
| POST | /v1/listen | Transcribe audio — Deepgram-compatible (file upload or URL) |
| POST | /v1/audio/transcriptions | Transcribe audio — OpenAI-compatible (multipart/form-data) |
| POST | /v1/audio/translations | Translate speech to English — OpenAI-compatible (multipart/form-data) |
| GET | /v1/models | List available & registered models (no auth) |
| GET | /ping | Health check |
| POST | /v1/auth/test-token | Generate test token (dev only) |
| WS | /v1/listen | Live streaming (see Streaming docs) |
POST /v1/listen — Transcribe Audio (Deepgram-compatible)
The primary Deepgram-compatible transcription endpoint. Accepts audio either as a binary file upload or as a URL in a JSON body. Upload size is capped by MAX_AUDIO_UPLOAD_BYTES (default 50 MiB).
Request Parameters (Query String)
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| model | string | tiny.en | Model to use (tiny.en, base.en.q5, large-v3-turbo.q5, whisper-1, etc.). See GET /v1/models. |
| language | string | en | BCP-47 language code for transcription (en, es, fr, auto, etc.). |
| prompt | string | null | Context/vocabulary prompt to guide the model (e.g., "TURNIPS, MUTTON"). |
| start | integer | 0 | Offset in milliseconds — skip audio before this point. |
| duration | integer | null | Maximum duration in milliseconds to process. |
| response_format | string | json | Response format: json, srt, vtt, or text. |
| diarize | boolean | false | Enable speaker separation (best with stereo audio). |
| utterances | boolean | false | Return speech interval metadata. |
| translate | boolean | false | Translate source speech into English (whisper-cli -tr). |
| temperature | float | null | Sampling temperature (0.0 to 1.0). |
| beam_size | integer | null | Beam size for beam search decoding (1 to 10). |
| split_on_word | boolean | false | Split segments on word boundaries rather than token boundaries (-sow). |
| vad | boolean | false | Enable Silero Voice Activity Detection (--vad) to filter non-speech intervals. |
Request Headers
| Header | Value | Required |
|--------|-------|----------|
| Authorization | Token <your_api_key> | Yes |
| Content-Type | audio/wav, audio/mpeg, audio/mp4, etc. | For file upload |
| Content-Type | application/json | For URL-based transcription |
File Upload
Send raw audio bytes as the request body:
curl -X POST 'http://localhost:7860/v1/listen?model=tiny.en&language=en' \
-H "Authorization: Token YOUR_API_KEY" \
-H "Content-Type: audio/wav" \
--data-binary @audio.wav
URL-Based Transcription
Send a JSON body with the audio file URL:
curl -X POST 'http://localhost:7860/v1/listen?model=tiny.en' \
-H "Authorization: Token YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com/audio.mp3"}'
URL fetch rules (SSRF protection)
When you pass {"url": "..."}, the server downloads the file for you. To reduce SSRF risk (callers tricking your server into hitting internal addresses), the implementation:
- Allows only
httpandhttpsURLs. - Resolves the hostname and rejects addresses that are not publicly routable (for example loopback, private RFC1918 ranges, link-local, and IPv6 ULA).
- Enforces a maximum download size (
MAX_AUDIO_DOWNLOAD_BYTES, default 50 MiB). - By default does not follow redirects (
AUDIO_URL_FOLLOW_REDIRECTS=false). If you enable redirects for CDN short links, the server re-checks the final URL host after redirects.
JSON Response Schema
When response_format=json (default), the response follows the Deepgram format:
{
"metadata": {
"request_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"created": "2026-03-29T10:30:00.000000Z",
"duration": 10.43,
"channels": 1,
"sha256": "abc123def456..."
},
"results": {
"channels": [
{
"alternatives": [
{
"transcript": "And so my fellow Americans ask not what your country can do for you ask what you can do for your country",
"confidence": 0.98,
"words": [
{
"word": "and",
"start": 0.0,
"end": 0.32,
"confidence": 0.97
},
{
"word": "so",
"start": 0.32,
"end": 0.56,
"confidence": 0.99
}
]
}
]
}
]
}
}
SRT Response
When response_format=srt, raw subtitle text is returned:
1
00:00:00,000 --> 00:00:03,200
And so my fellow Americans
2
00:00:03,200 --> 00:00:06,800
ask not what your country can do for you
3
00:00:06,800 --> 00:00:10,430
ask what you can do for your country
VTT Response
When response_format=vtt:
WEBVTT
00:00:00.000 --> 00:00:03.200
And so my fellow Americans
00:00:03.200 --> 00:00:06.800
ask not what your country can do for you
00:00:06.800 --> 00:00:10.430
ask what you can do for your country
POST /v1/audio/transcriptions & /v1/audio/translations — OpenAI Audio API
Drop-in compatible with the OpenAI Audio API (client.audio.transcriptions.create and client.audio.translations.create). Accepts Bearer <key> or Token <key> in the Authorization header.
Form Fields (multipart/form-data)
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| file | file | (required) | Audio or video file to transcribe/translate (wav, mp3, m4a, mp4, webm, etc.). |
| model | string | whisper-1 | Model ID or alias (whisper-1, tiny.en, large-v3-turbo.q5, etc.). |
| language | string | auto | ISO-639-1 language code (en, fr, de, etc.). |
| prompt | string | null | Optional text prompt to guide style or vocabulary. |
| response_format | string | json | One of json, verbose_json, text, srt, or vtt. |
| temperature | float | null | Sampling temperature between 0.0 and 1.0. |
| timestamp_granularities[] | string[] | ["segment"] | Include "word" and/or "segment" timestamps when response_format=verbose_json. |
| vad | boolean | false | Enable Silero VAD (silero-v6.2.0) when installed. |
Example Request (verbose_json with Word Timestamps)
curl -X POST 'http://localhost:7860/v1/audio/transcriptions' \
-H "Authorization: Bearer YOUR_API_KEY" \
-F "file=@audio/jfk.wav" \
-F "model=whisper-1" \
-F "response_format=verbose_json" \
-F "timestamp_granularities[]=word" \
-F "timestamp_granularities[]=segment"
GET /v1/models — List Models
Returns metadata for each .bin model file present under MODELS_DIR. No authentication required.
curl -X GET 'http://localhost:7860/v1/models'
Response:
{
"models": [
{
"name": "whisper-tiny.en",
"model_id": "tiny.en",
"description": "Tiny English-only Whisper model (~75MB). Fastest inference, good for English.",
"language": "en",
"version": "ggml-v1",
"file": "ggml-tiny.en.bin",
"size_bytes": 78643200
}
],
"count": 1
}
GET /ping — Health Check
A simple health check endpoint (no authentication required):
curl http://localhost:7860/ping
{
"ping": "pong",
"status": "healthy"
}
Error Responses
| Status Code | Description |
|-------------|-------------|
| 400 | Bad request — invalid parameters, unsupported format, URL policy violation, or download failure |
| 401 | Unauthorized — missing or invalid API key |
| 413 | Payload too large — upload body exceeds MAX_AUDIO_UPLOAD_BYTES |
| 415 | Unsupported media type — unrecognized content type |
| 422 | Validation error — malformed request body |
| 500 | Internal server error — transcription or conversion failed |
| 504 | Gateway timeout — whisper-cli or ffmpeg exceeded configured timeout |
Concurrent transcriptions wait on an internal limiter (MAX_CONCURRENT_TRANSCRIPTIONS); requests are queued, not rejected with 503, unless the client or proxy times out first.
Error Response Format
{
"detail": "Invalid or missing API key"
}