Local background remover

Remove the background from photos of people, in your browser

Drop up to ten photos of people. PicRemedy separates each subject from its background in this tab, keeps the original pixel dimensions in the saved file, and asks for no account. It cuts out people, not products.

Add up to 10 photos

Full resolution · up to 10 at once · nothing uploaded · no sign-up

Up to ten photos, one in-page queue

Separate people from their background

Every photo is decoded, masked and composed in this tab at its own resolution. Nothing is uploaded, nothing is queued on a server and no account is created.

What replaces the background

Transparency only survives PNG. A flat colour has no transparency left to lose, so it is saved as the smaller JPEG.

    Model check starts with your first photo

    01

    People, not products

    The model separates a person from the background. A product photo, a logo or a pet is refused with a message rather than returned as a bad cut-out.

    02

    Full size out, always

    The saved file keeps the source pixel dimensions. There is no watermark, no preview tier and no resolution held back for a paid plan.

    03

    The edge is approximate

    The mask is computed at 256 by 256 and refined against your own pixels. Strands of hair and thin gaps stay soft; compare at full size before you use the result.

    Before you separate a photo

    Does the background remover upload my photo?

    No. The photo, the mask and the finished cut-out stay in this browser tab. The page downloads its own model file once and sends property-free audience measurement; it has no image endpoint to upload to.

    Is the saved image full resolution?

    Yes. The output keeps the source pixel dimensions exactly. The mask itself is computed at 256 by 256 and then refined against your own pixels, so fine hair is approximate, but nothing is downscaled on the way out.

    What can it separate?

    People. The model is a person-versus-background segmenter, so a portrait, a team photo or a full-length shot works and a product, a logo or a pet does not. It says so rather than returning a bad cut-out.

    How many photos at once?

    Up to ten in one local queue, processed one at a time. A photo that fails never stops the rest, and Stop ends the run after the image being worked on.

    Does it recognise faces?

    No. It produces one foreground mask for the whole person. No facial landmark, face geometry or face template is computed, stored or sent, on purpose.

    How big is the download?

    About 3.9 MB compressed the first time: a 447 KB model plus the local inference engine this site already uses. The browser caches both, so a second visit starts immediately.