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SnapOtter/apps/docs/tools/image/content-aware-resize.md
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description
description
Seam-carving resize that adds or removes pixels along low-importance paths to preserve key content and faces.

Content-Aware Resize

Seam carving resize that intelligently removes or adds pixels along paths of least visual importance, preserving important content and optionally protecting faces.

API Endpoint

POST /api/v1/tools/image/content-aware-resize

Processing: Synchronous (returns result directly)

Model bundle: None required for basic operation. Face protection uses the face-detection bundle (200-300 MB) if enabled.

Parameters

Parameter Type Required Default Description
file file Yes - Image file (multipart)
width number No - Target width in pixels
height number No - Target height in pixels
protectFaces boolean No false Detect and protect faces from seam removal
blurRadius number No 4 Pre-processing blur radius for energy calculation (0-20)
sobelThreshold number No 2 Sobel edge detection threshold (1-20). Higher values make the algorithm more aggressive
square boolean No false Resize to a square (uses the smaller dimension)

At least one of width, height, or square must be specified.

Example Request

curl -X POST http://localhost:1349/api/v1/tools/image/content-aware-resize \
  -F "file=@landscape.jpg" \
  -F 'settings={"width":800,"protectFaces":true}'

Response (200 OK)

{
  "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "downloadUrl": "/api/v1/download/{jobId}/landscape_seam.png",
  "originalSize": 450000,
  "processedSize": 380000,
  "width": 800,
  "height": 600
}

Notes

  • This tool returns a synchronous response (not 202 async). Processing happens inline.
  • Uses the caire seam carving library for content-aware resizing.
  • Only reduces dimensions (removes seams). Cannot expand an image beyond its original size.
  • The protectFaces option uses AI face detection to mark face regions as high-energy, preventing seams from passing through faces.
  • blurRadius controls smoothing before energy map calculation. Higher values make the energy map more uniform, which can help with noisy images.
  • sobelThreshold affects how aggressively edges are detected. Lower values preserve more subtle edges.
  • Output is always PNG format.
  • Supports HEIC/HEIF, RAW, TGA, PSD, EXR, and HDR input formats via automatic decoding.