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neo xia
neo xia

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White background product photos with AI: a checklist for edges, glass, and shadows

Marketplace rejections for product photos usually come from three things: a background that is not pure white, an edge that looks cut out, and a shadow that reads as a smudge. If you process photos in batches, those failures repeat across the whole catalogue. This is the checklist I run before shipping a batch.

1. Measure the white instead of eyeballing it

Sample the corners in an image editor. Most catalogs ask for pure white, which is #FFFFFF in RGB. JPEG compression pulls corners down to 254 or 253, so check after export, not before. A pixel picker on the exported file catches this in seconds.

2. Judge the edge at 200%

Zoom to 200% and look at three places: hair or fur, the boundary between product and background, and anything thin such as straps, stems, or wires. At 100% a broken matte is invisible; at 200% it is obvious. A small preview hides exactly the errors a reviewer sees first.

3. Transparent and reflective objects need a mask, not a fill

Glass, clear plastic, and chrome have no true edge. Filling them with white destroys the object. The mask has to keep partial alpha across the whole object, otherwise a bottle turns into a white silhouette with a label floating on it. The test shot that exposes a weak matte is a bottle photographed on a busy background.

4. Decide the shadow policy before the batch

There are three defensible choices: remove the shadow entirely for a clean catalog look, keep a natural contact shadow that matches a white set, or keep the original floor shadow and accept the floor tone. The real mistake is mixing policies inside one batch. Every photo can be fine on its own and the grid still looks inconsistent.

5. Keep the batch consistent

Export at one size, one color profile, and one background value. If half the batch is 1200 px and the other half is 2000 px, the category page crops them differently and the tiles stop lining up.

6. Check the cheap things last

File size limits, aspect ratio, and which image is in the first slot. These are the ones that get a listing rejected minutes after upload.

A workflow note

I build CleanWhiteBG (https://cleanwhitebg.com), a browser tool for white background product photos. There is no signup, it is free to use, and uploads are deleted automatically after two hours. It has a faster cloud mode and a slower precision mode for hair, fur, glass, and jewelry. The checklist above is what decides whether a batch passes review, whichever tool produces the matte.

Disclosure: I am the developer of the tool linked above, and this post is written from that work.

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