Deepfake Detection Streaming

Real-time synthetic voice detection over WebSocket. Streams audio to the server and receives per-frame verdicts (synthetic, non-synthetic, or no-content) with confidence scores as analysis windows complete. For a conceptual explanation of how detection works — including windowing, silence trimming, and the no-content verdict — see Deepfake Detection.

Endpoint

wss://platform.modulate.ai/api/velma-2-synthetic-voice-detection-streaming

Authentication

Pass your API key as a query parameter when opening the connection.

wss://platform.modulate.ai/api/velma-2-synthetic-voice-detection-streaming?api_key=YOUR_API_KEY&audio_format=s16le&sample_rate=16000&num_channels=1

Unlike the batch endpoint, the streaming API does not use an X-API-Key header. The key must be in the query string at connection time.

Query parameters

Parameter	Type	Required	Description
`api_key`	string	Yes	Your API key
`audio_format`	string	Yes	Audio encoding format — see Deepfake Detection
`sample_rate`	integer	Conditional	Required for raw (headerless) formats. One of: `8000`, `11025`, `16000`, `22050`, `32000`, `44100`, `48000`, `96000`
`num_channels`	integer	Conditional	Required for raw formats. 1–8

For supported format values and format selection guidance, see Deepfake Detection.

Connection flow

Connect with api_key, audio_format, and (for raw formats) sample_rate and num_channels.
Stream audio as binary WebSocket frames. Frames can be any size.
Receive frame JSON messages as analysis windows complete.
Send an empty text frame ("") to signal end of audio.
Receive a done message with total duration and frame count.
The connection closes automatically.

Server messages

Frame result

Sent each time an analysis window is complete.

{
  "type": "frame",
  "frame": {
    "start_time_ms": 0,
    "end_time_ms": 4000,
    "verdict": "synthetic",
    "confidence": 0.9732
  }
}

Field	Type	Description
`start_time_ms`	integer	Frame start time in the audio stream (ms)
`end_time_ms`	integer	Frame end time in the audio stream (ms)
`verdict`	string	`"synthetic"`, `"non-synthetic"`, or `"no-content"`
`confidence`	float	Confidence in the verdict, 0.0–1.0

Done

{
  "type": "done",
  "duration_ms": 12500,
  "frame_count": 10
}

Field	Type	Description
`duration_ms`	integer	Total duration of the streamed audio in milliseconds
`frame_count`	integer	Total number of frames analyzed

Error

{
  "type": "error",
  "error": "Invalid audio_format='mid'. Valid values: ['3g2', '3ga', ...]"
}

WebSocket close codes

Code	Meaning
`1000`	Normal closure after a successful `done` message
`1003`	Invalid query parameters (bad format, sample rate, or channels)
`4002`	Audio could not be decoded or does not match the declared format
`4003`	Request could not be validated, or is not permitted (auth failure, missing model access)
`4029`	Insufficient credits, or concurrent-connection limit exceeded

An error JSON message is sent before the connection closes (except on 1000).

Rate limits

Concurrent connection limits apply per model.
Connections that exceed limits are rejected during the WebSocket handshake with close code 4029.

Deepfake Detection — windowing, silence trimming, and scoring explained
Deepfake Detection — format options for the streaming endpoint
Which API should I use? — batch vs streaming tradeoffs
Authentication and rate limits

Velma

Speech-to-text Transcription