Background Remover
Strip the background from photos with AI. PNG, JPG, WebP supported.
Model
WebGPU Accelerated
GPU accelerated when available
WASM Processing
Works on all browsers
100% Private
No server upload
Background removal is used for product photos, portraits, logos, and marketing. U2-NetP suits products and general images; Silueta is tuned for portraits and selfies. Choose the model, upload, and download a PNG with transparent background. Ideal for e-commerce, social media, and design. Use for listing photos, profile pictures, and marketing assets.
Use cases: e-commerce product photos, portrait and headshot editing, logo extraction, social media graphics. U2-NetP: fast, general purpose, works well for products and landscapes. Silueta: portrait-optimized, higher quality for faces and selfies. Output is always PNG with transparency. Ideal for design tools, mockups, and marketing assets. Choose U2-NetP for product shots and general images; use Silueta when you need the best face quality. First load downloads the model; after that it is cached for faster processing. Upload PNG, JPG, or WebP. No server upload. Processing runs locally in your browser. Works offline after first load. Drag and drop or click to select.
How to Remove Background from an Image
- Choose a model — U2-NetP for products and general images; Silueta for portraits and selfies.
- Upload your image — Drag and drop or click to select. PNG, JPG, and WebP supported.
- Download — Wait for processing, then download the PNG with transparent background.
FAQ
Is Pare Background Remover free?
Yes. Free on this page, with limits noted per tool where they apply. No watermarks.
Are my images sent to a server?
No. AI runs in your browser. Your images never leave your device.
What is the difference between U2-NetP and Silueta?
U2-NetP (4.6MB) is fast and works well for products and general images. Silueta (43MB) is tuned for portraits and selfies.
What formats can I upload?
PNG, JPG, and WebP. Output is always PNG with transparency.
Does it work offline?
After the model is loaded once, it is cached. You can process images offline if the model is already in cache.