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SnapOtterandGitHub 00b651c9f8 feat(i18n): 21-language pipeline, landing/docs/API wiring, landing+API translations

Shared Claude Code translation pipeline (scripts/i18n, no API key) plus Astro/VitePress/Scalar i18n wiring. Landing and API reference translated into all 20 languages; docs i18n wiring + English source anchors. The translated docs markdown (apps/docs/<locale>/**, 3,620 files) follows in a companion PR because it exceeds GitHub's per-PR CI file limit.

2026-07-11 13:01:55 +08:00

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description

description
Auto-detect and blur faces in images with AI face detection for privacy and GDPR-compliant anonymization.

Face / PII Blur

Auto-detect and blur faces in images using AI-powered face detection (MediaPipe).

API Endpoint

POST /api/v1/tools/image/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

curl -X POST http://localhost:1349/api/v1/tools/image/blur-faces \
  -F "file=@group-photo.jpg" \
  -F 'settings={"blurRadius":40,"sensitivity":0.3}'

Response

Initial Response (202 Accepted)

{
  "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)

{
  "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:

{
  "phase": "complete",
  "percent": 100,
  "result": {
    "facesDetected": 0,
    "warning": "No faces detected in this image. Try increasing detection sensitivity."
  }
}

Notes

Requires the face-detection model bundle to be installed (200-300 MB).
Output format matches the input format automatically.
The faces array 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.

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