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CoreTools

Free AI Background Remover

AI-powered, 100% on your device. First use downloads a small 4.5MB model once — then it works instantly, even offline.

100% in your browser — files never uploaded

How this background remover works

This tool runs a neural network (U²-Net, a saliency segmentation model) directly in your browser via WebAssembly. The model examines your image, predicts which pixels belong to the foreground subject, and converts everything else to transparency. Because inference happens on your device, your photo is never transmitted anywhere — a meaningful difference from upload-based removers, especially for product shots, ID photos, or personal images. The one-time 4.5MB model download is cached by your browser, so every later use starts instantly.

Remove background without losing quality

The output is a full-resolution transparent PNG at your original dimensions (capped only by your device's safe canvas limit of roughly 16 megapixels). Edges are anti-aliased using the model's soft mask rather than a hard cutout, which keeps hair, fur, and fine edges natural. For best results use a photo where the subject is clearly distinct from the background; very busy scenes or subjects that blend into the backdrop are harder for any segmentation model.

Transparent PNG for e-commerce, profiles, and design

A clean cutout is the first step for marketplace listings, profile pictures, presentation graphics, and thumbnails. Pair this tool with our Passport Photo Maker for compliant ID photos on a white background, or the Image Compressor to shrink the resulting PNG before uploading it to a listing platform.

AI Background Removal That Never Uploads Your Photo

Most free background removers work by sending your image to a server, running the segmentation model there, and sending back a result — meaning the photo, however briefly, sits on someone else's infrastructure. This tool runs the same class of model, U²-Net, entirely inside your browser via WebAssembly, so the image is never transmitted anywhere. The trade-off is a one-time 4.5MB model download on first use; your browser caches it, so every later removal — even offline — starts instantly with zero network round trip.

Getting a Clean Cutout on Hair, Fur and Fine Edges

Hard-edged cutout tools struggle with anything that isn't a solid outline — hair strands, fur, transparent fabric — because a binary mask has to pick a side for every pixel. This tool uses the model's soft saliency mask instead of a hard cutout, which anti-aliases fine edges naturally rather than leaving a jagged or halo'd boundary. Results are strongest when the subject is clearly distinct from its background; a subject that blends tonally into the backdrop is a harder case for any segmentation model, not just this one.

From Cutout to Finished Image — What to Do Next

A transparent PNG cutout is rarely the final deliverable — it's usually a step toward a marketplace listing, a profile picture, or a presentation graphic. Drop the cutout into the Passport Photo Maker to place it on a compliant white background for ID-style photos, or run it through the Image Compressor before uploading to a platform with file-size limits, since transparent PNGs are larger than an equivalent flattened JPG.

Frequently asked questions

Is my photo uploaded to a server?

No. The AI model runs inside your browser using WebAssembly. Your image never leaves your device — you can even disconnect from the internet after the model loads and it still works.

Why does the first use download a model?

The neural network weights (about 4.5MB) must be fetched once. Your browser caches them, so every subsequent use — even days later — skips the download entirely.

Is there a watermark or signup?

No watermark, no account, no limits. You get a full-resolution transparent PNG, free.

What image formats are supported?

JPG, PNG, and WebP input. Output is always PNG, because PNG supports the transparency that background removal produces.

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Data verified: 2026-06-12 · All processing happens in your browser — no files are ever uploaded.