Clean Amazon listing photos before upload
Amazon does not put an AI badge on your listing. The two real issues are different: your home address sitting in the GPS of product photos shot at home, and seller policies on image accuracy that AI retouching can bump against.
Both are fixed in the file, before upload.
Drop an image here
We read what is inside it first, then show you every field before anything is removed.
JPEG · PNG · WebP: up to 25.0 MB · 30 files at a time
How it behaves
How Amazon handles AI metadata
- Amazon has image requirements covering accuracy and representation of the actual product. AI-generated or heavily AI-modified imagery sits uneasily with those, independent of any metadata.
- Amazon's own generative tools exist for sellers, and content produced that way is marked as such within Amazon's systems rather than by reading your file.
- Private-label sellers photograph inventory at home or in a small studio, and those files carry coordinates pointing at that address.
- Images are scraped widely. Listing photos end up on aggregators and comparison sites with metadata intact.
What writes it
Amazon features that embed metadata
- AI background removal, near universal in product photography and a common source of markers.
- AI upscaling, used to meet Amazon's resolution requirements from a smaller original.
- Generative Fill, used to extend a background to a square crop.
- Mockup generators, which write their own provenance.
Where it is read
Which uploads carry metadata
- Main listing image
- The one that gets scraped and redistributed most.
- Secondary and lifestyle images
- Most likely to be shot at home, so most likely to carry GPS.
- A+ content modules
- Design exports, frequently from Canva.
- Brand store assets
- Same again, and more visible.
Who hits this
Common situations
Private-label sellers
Photographing inventory at home embeds your home address in every listing image. This is the single most common and least recognised risk on this list.
Print-on-demand sellers
Mockup generators and AI background removal both write provenance into files that represent a real physical product.
Agencies managing listings
Check one export from each client pipeline rather than cleaning everything by hand.
Honest limits
When cleaning will not solve it
- Cleaning metadata does not make an AI-generated product image compliant with Amazon's image accuracy requirements. That is about what the image shows, not what the file says.
- Images already published and scraped keep whatever metadata they had at the time.
Questions
Amazon metadata FAQ
›Does Amazon label AI-generated listing images?
Amazon does not apply a public AI badge to listings the way social platforms label posts. Its requirements concern image accuracy and representing the actual product, which is a content question rather than a metadata one.
›Why does GPS matter on Amazon listing photos?
Because most small sellers photograph inventory at home. Those coordinates identify a residential address and travel with the image to every aggregator that scrapes the listing.
›Is AI background removal a problem for Amazon listings?
The removal itself is normal practice. It writes provenance into the file, which is why a real product photo can read as AI-involved. Cleaning the file addresses the marker; Amazon's accuracy rules still apply to what the image shows.
›Can I clean a whole catalogue?
In batches of 30, with no limit on batches. Each file reports its own findings so you can see which carried GPS.
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