Product image verification
Check product photos for AI generation, edits, and marketplace risk.
Use the image engine to evaluate product listing images before trusting a seller.
Last reviewed 2026-05-10 · See methodology
About this check
What Verify Product Image Authenticity actually does.
Marketplace-specific checks for product listings. Stock-photo reuse and AI-rendered product shots are common across resale, dropshipping, and counterfeit listings. The engine focuses on the consistency of lighting and object boundaries that real product photography preserves.
How it works
- 1Lighting and shadow coherence checks whether the object sits realistically on its surface.
- 2Object-edge artifacts catch generated or composited products.
- 3Listing-risk scoring uses any pasted description text for pricing and language cues.
When to use it
Real situations this page is built for.
- Buying secondhand electronics from a new seller.
- Vetting suppliers on a B2B marketplace.
- Investigating counterfeit listings of your own brand.
Limitations
Studio photography and AI-rendered product shots can score similarly. Combine with reverse image search.
Related checks
Honest scope
What this detector does not do.
Naming the gaps explicitly so the score is interpreted in context.
- Whether the photo depicts a real event — only the image artifacts.
- Which AI model generated the image, if synthetic.
- Whether the photo is of a specific real person (use face recognition for that).
FAQ
Verify Product Image Authenticity questions
Can it tell me if a listing is a counterfeit?
It can flag suspicious imagery. Counterfeit determination requires brand-side verification.
Is it useful for ad creative review?
Yes — for confirming whether a competitor or partner ad uses AI-generated product shots.
Does it scan a whole listing?
One image at a time in the demo. Paste accompanying text for context-based scoring.