Comparisons
How to judge AI product photo quality
An AI product image fails in five predictable ways. Check all five at 100% zoom and you will catch every one of them.
The five checks
Quality in this context is not about artistic merit. It is about whether the image reads as a real product photograph rather than a cut-out pasted on a background. Five things decide that, and each takes seconds to check.
- Edges: zoom to 100% and follow the outline. Any halo, jag, or straight cut is a fail.
- Light: does the product look lit, or flat? A relit product has a light side and a shadow side.
- Colour: compare against the real product, not against the previous photo.
- Shadow: is there a contact shadow, and does its direction match the background?
- Resolution: is the export at least 1000 px, and is it sharp at thumbnail size?
The failures that matter commercially
A soft edge on a thumbnail is invisible; a product whose colour is wrong is a return. Rank the failures by what they cost: colour first, then scale, then edges, then everything else.
Scale is the one people miss. If the product fills a different proportion of the frame than the rest of your catalogue, the grid looks inconsistent and the product looks like the odd one out — even when the image is technically clean.
- Colour wrong: returns and disputes.
- Scale inconsistent: a catalogue that looks assembled rather than made.
- Edges poor: reads as a cheap edit at a glance.
- No shadow: the product floats and looks pasted in.
- Low resolution: the marketplace upscales it and it looks soft.
Where Zenith lands on each
Zenith AI – Product Photo is built around the five checks: edges are cut at full resolution, the product is relit rather than merely extracted, colour is preserved from the original, a contact shadow is generated to match the new background, and exports are at marketplace size or larger.
The one thing it cannot fix is a poor original. If the photo is blurred, underlit or the product is out of focus, no amount of processing recovers it — which is why the shooting guides in this cluster exist.
How it works
Three steps from a phone photo to a finished image
Scan or upload
Take a photo in the app, or pick one you already shot on your iPhone.
Let the AI work
The app removes the background, relights the product and builds the scene.
Export and list
Save a marketplace-ready image at the size your listing needs.
FAQ
Frequently asked questions
How can I tell if an AI product photo is good enough?
Check five things at 100% zoom: the edges, whether the product looks lit rather than flat, the colour against the real product, the presence and direction of the contact shadow, and the export resolution. If all five pass, the image is listing-ready.
Why does my AI product photo look like a cut-out?
Usually because it is one: the background was removed but the light on the product was not changed, so the product still looks like it was shot in a different room than the background it now sits on. Relighting is what fixes it.
What resolution should an AI product photo be?
Export at 1000 px or more on the long side for marketplaces. Upscaling a small image is visible on a product page, and most marketplaces require a minimum size that rules out low-resolution exports.
Can AI fix a blurry product photo?
No. Sharpening cannot recover detail that was not captured, and an upscaled blurry image looks soft everywhere. The only fix is to re-shoot with the camera steadied — the shooting guides in this cluster cover how.
Try it on your next photo
Free to download on the App Store. iPhone and iPad only.