Entrovix AI

Image Background Changer

Separates the subject from the background on your device, then puts a colour or a different photo behind it — nothing is uploaded.

Runs in your browser — nothing is uploaded

Photo and background

White is what Indian government portals and ID forms usually ask for.

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A little softness hides the cut edge; too much makes hair look painted.

The model is trained on people, so a product shot or a pet will separate poorly — that is a limit of the approach, not a setting. Fine hair against a busy background is the hardest case; a plain wall behind you gives the cleanest edge.

Result

Add a photo and the subject is separated from its background here.

Why use it

Built to be genuinely useful

Runs on your device

The segmentation model downloads to your browser. The photo itself is never sent anywhere.

A colour or another photo

White for forms and IDs, any colour you like, or an image scaled to cover without stretching.

Feather control

Softens the cut-out edge so the subject sits on the new background instead of looking pasted on.

Free, no watermark

No sign-up, no credit system, and nothing stamped across the result.

How it works

Three steps

  1. 1

    Choose a photo — this works best on people.

  2. 2

    Wait for the model to download the first time, then for the subject to be separated.

  3. 3

    Pick a colour or upload a background photo, adjust the feather, and download.

Why the file never leaves your browser

Almost every background remover uploads your photo to a server, runs the model there and sends an image back. That is simpler to build and it means your picture — often of a person, often a passport or ID photo — sits on someone else's infrastructure under a privacy policy you did not read.

This runs the segmentation model in the browser instead. The model is downloaded once, a few megabytes, and cached. That download is the only network traffic the tool produces; the photograph is read from your disk into memory and stays there.

The trade-off is honest: an in-browser model is smaller than what a server can run, so a complicated edge — flyaway hair, a fence behind a subject — will be less precise than a paid cloud service. For the common cases, a person against a room, it is very close, and the feather control hides most of the difference.

Backgrounds that look real

Two things give away a replaced background. The first is a hard, perfectly clean edge, which never occurs in a real photograph because lenses have depth of field. A pixel or two of feather fixes it, and more than about four begins to look like a glow.

The second is a lighting mismatch. A subject photographed indoors under warm light, dropped onto a bright outdoor scene, reads as wrong even when the cut-out is flawless — the direction and colour of the light do not agree. Choosing a background with similar light does more for realism than any amount of edge tuning.

For official uses none of this applies. Passport, visa and exam forms want a plain white or light blue background precisely because it is unambiguous, and a clean flat fill is exactly right there.

FAQ

Questions people ask

Related tools

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Available tools are linked; the rest are in development.

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