Face / PII Blur
Auto-detect and blur faces in images using AI-powered face detection (MediaPipe).
API Endpoint
POST /api/v1/tools/blur-faces
Processing: Asynchronous (returns 202, poll /api/v1/jobs/{jobId}/progress for status via SSE)
Model bundle: face-detection (200-300 MB)
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| file | file | Yes | - | Image file (multipart) |
| blurRadius | number | No | 30 | Blur radius applied to detected faces (1-100) |
| sensitivity | number | No | 0.5 | Face detection sensitivity (0-1). Lower values detect fewer faces with higher confidence |
Example Request
bash
curl -X POST http://localhost:13490/api/v1/tools/blur-faces \
-F "[email protected]" \
-F 'settings={"blurRadius":40,"sensitivity":0.3}'Response
Initial Response (202 Accepted)
json
{
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"async": true
}Progress (SSE at /api/v1/jobs/{jobId}/progress)
event: progress
data: {"phase":"processing","stage":"Detecting faces...","percent":40}Final Result (via SSE)
json
{
"phase": "complete",
"percent": 100,
"result": {
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"downloadUrl": "/api/v1/download/{jobId}/group-photo_blurred.jpg",
"originalSize": 450000,
"processedSize": 420000,
"facesDetected": 3,
"faces": [
{"x": 100, "y": 50, "w": 80, "h": 80},
{"x": 300, "y": 60, "w": 75, "h": 75},
{"x": 500, "y": 55, "w": 85, "h": 85}
]
}
}No Faces Detected
If no faces are found, the result includes a warning:
json
{
"phase": "complete",
"percent": 100,
"result": {
"facesDetected": 0,
"warning": "No faces detected in this image. Try increasing detection sensitivity."
}
}Notes
- Requires the
face-detectionmodel bundle to be installed (200-300 MB). - Output format matches the input format automatically.
- The
facesarray contains bounding box coordinates (x, y, width, height) for each detected face. - Increase
sensitivity(closer to 1.0) to detect more faces, including partially occluded ones. - Supports HEIC/HEIF, RAW, TGA, PSD, EXR, and HDR input formats via automatic decoding.
