AI + Vision
Background Remover
Automatically remove backgrounds using GrabCut + adaptive segmentation. Refine with brush tools. Export as transparent PNG or JPG.
GrabCut + Segmentation
Brush refinement
PNG transparent
Drop your image or click
PNG · JPG · WebP — Max 20 MB
Preview background:
Settings
U2Net Model —
Deep learning AI specialised in background removal. Excellent on portraits, hair, complex objects. First run: ~10s (model loading).
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How does background removal work?
GrabCut
The GrabCut algorithm (OpenCV) performs interactive segmentation based on graph cuts and Gaussian mixture models. It automatically separates foreground from background.
Brush refinement
After automatic processing, use the erase and restore brushes to correct imprecise areas with pixel-level precision.
Transparent PNG
The result is exported as PNG with alpha channel — transparent background preserved and compatible with all design software.
100% Private
All detection is performed server-side with OpenCV — your images are never stored or shared. Files are deleted immediately after processing.
FAQ
AI U2Net is the best choice — it uses deep learning to precisely detect edges, including fine hair. U2Net Human is specialised for portraits. GrabCut is fast for simple subjects. "Solid color" is perfect for uniform-color backgrounds.
No. The image is processed in memory and the result is returned directly. No image is written to disk or retained after processing.
Best results are achieved with subjects clearly distinct from their background — portraits with neutral backgrounds, products on white/solid colored backgrounds. Complex images with fine hair or detailed backgrounds may require brush refinement.