WhatRunsIndiaAI product photos have crossed the line from "obviously fake" to "looks great at a glance". That is exactly when mistakes get dangerous. A photo that looks great but shows a slightly different product will sell the wrong thing, and the return, the complaint and the lost trust land on you. The difference between good enough and right is in a short checklist.
Why does "looks great" not mean "is right"?
Image models do not copy your product. They redraw it. Most of the time the redrawing is faithful. Sometimes a motif gets simplified, a border shifts colour, a button changes shape, or a logo is respelt. At thumbnail size none of this shows. At full size on a product page, or in the customer's hands, it does.
So the standard is not "is this a good photo?" It is "is this my product?"
What should you check on the product?
Open the AI image and your original side by side, at full size.
- Colour: is the shade the same? Indigo drifting to navy or maroon to brick is a common miss.
- Print and pattern: are motifs, repeats and borders intact, especially small prints?
- Text and logos: are labels spelt correctly and placed where they really are?
- Shape and proportions: neckline depth, sleeve length, bottle shape, earring size.
- Hardware and details: buttons, zips, embroidery, stones and stitching.
- Additions and removals: a pocket that appeared, a dupatta that vanished, a strap that changed.
If any of these are off, reject the image, even if everything else is beautiful.
What should you check on the scene?
- Hands and fingers: count them, and check how they hold the product.
- Faces: natural expressions, no odd teeth or eyes.
- Physics: fabric falls correctly, shadows match the light, the product sits on surfaces rather than floating.
- Context fit: the setting suits the product and your customer. No winter coat on a Goa beach.
- Cultural detail: saree drapes, bindis, jewellery and settings look right to an Indian eye.
Who should do the checking?
Someone who knows the product physically. A designer who has never held the kurta will miss a wrong button. Build the check into your workflow: nothing goes live until a person who knows the product has approved it.
Our guide on where mannequin-to-model AI photos go wrong lists the categories that need extra care, such as sheer fabrics and fine prints.
Can the checking be partly automated?
Yes, and it should be. WhatRunsIndia runs an automatic check on every result, comparing the generated product with your original. Images where the product changed are rejected and the credit comes back to you. You then review the ones that pass and approve what you want to use. The automatic check catches most problems, and your eye catches the rest.
FAQ
How can I tell if an AI product photo is accurate?
Compare it with your original photo at full size, checking colour, print, text, shape, details and anything added or removed. If the product differs in any way, do not use it.
What are the most common mistakes in AI product photos?
Shifted colours, simplified or redrawn prints, misspelt logos and text, changed hardware such as buttons, and extra or missing pieces in sets.
Is it legal to use AI-generated photos for my products?
Generally yes, as long as the photos accurately represent what the customer receives. Check marketplace rules too, since they focus on accuracy rather than how an image was made.