Background Remover

Remove the background from any photo automatically — without uploading it anywhere. A neural network runs directly in your browser to cut out the subject, and you can fine-tune the result with erase and restore brushes. Export a transparent PNG, replace the background with a solid color, or blur it for a portrait effect. The AI model downloads once on first use and is cached; your photos never leave your device.

Privacy-first: every image is processed locally in your browser. Nothing is uploaded, stored or transmitted to any server.

PixelVault removes photo backgrounds with AI — without your photo ever leaving your device. Every well-known background removal site works the same way: you upload your image, their servers run a neural network on it, and you download the cutout. That pipeline requires handing over the photo. PixelVault flips it around: instead of sending your image to the model, the model comes to you. A compact segmentation network (ISNet) downloads to your browser once, and every photo after that is processed locally.

The result is the full toolkit you would expect: a clean cutout with a transparent background, ready to download as PNG or WebP; a solid-color backdrop for profile pictures, ID photos and product shots; or a blurred background for a portrait-style effect without removing anything. Erase and Restore brushes let you fix any spot the AI got wrong, and an edge smoothing slider softens the cutout line for a natural composite.

Because inference is local, there are no per-image credits, no watermarks, no resolution caps and no queue. Run it on one photo or fifty — the only cost was the one-time model download, which your browser caches.

How it works

On first use, PixelVault fetches the ISNet segmentation model and a WebAssembly runtime (about 55 MB for the standard model — you are told before anything downloads). The model analyses your photo and produces a mask: a per-pixel estimate of what is subject and what is background. That mask becomes the alpha channel of your image, and everything else — color backgrounds, blur, brush touch-ups, edge feathering — is ordinary canvas compositing done instantly on your device. The model stays in your browser cache, so subsequent runs skip the download entirely.

Why local processing matters

Photos you would want a background removed from are often exactly the ones you would rather not upload: family pictures, ID and passport photos, unreleased product shots. With local inference there is no server that sees the original, no terms of service governing what happens to uploads, and no retention window to wonder about. It also means the tool keeps working on a plane or behind a strict firewall once the model is cached.

Supported formats

  • PNG — Transparent cutouts with a full alpha channel — the default.
  • WebP — Transparency at a much smaller file size.
  • JPG — For color or blurred backgrounds (no transparency).
  • HEIC — iPhone photos are decoded locally before processing.

Common use cases

  • Product photos on a clean white or brand-color background for shops and marketplaces.
  • Profile pictures and CV photos with a neutral backdrop.
  • Cutouts for presentations, thumbnails, collages and memes.
  • Portrait-style background blur for photos taken without portrait mode.
  • Preparing stickers and transparent assets for design work.

Frequently asked questions

Is my photo uploaded to remove the background?
No. The AI model runs inside your browser using WebAssembly — inference happens on your own device. The only thing ever downloaded is the model itself (once); nothing is ever uploaded.
Why does the first run download ~55 MB?
That download is the neural network itself (the ISNet segmentation model plus its runtime). Cloud tools keep the model on their servers — which is exactly why they need your photo. Running it locally means fetching the model once; your browser caches it, so later runs start instantly and even work offline.
How do I get a transparent background?
Transparent is the default. After the AI cuts out the subject, download as PNG or WebP — both keep full transparency.
Can I blur the background instead of removing it?
Yes. Switch the background to “Blur” and adjust the strength for a portrait-style effect, or pick “Color” for a clean studio look — handy for profile photos and product shots.
What if the AI misses part of the subject?
Use the touch-up brushes: Restore paints back anything the AI removed, Erase cleans up leftovers. Edge smoothing softens the cutout line, and you can always reset to the AI result.
Which photos work best?
Clear subjects — people, products, animals — on reasonably distinct backgrounds. The “High” model handles tricky details like hair better at the cost of a bigger one-time download.