AI image QA for real estate
Virtual staging that survives the viewing
AI staging and enhancement are now standard in property marketing — and property is where misleading imagery has the sharpest legal edge, because the photo is part of an offer. A staged room with impossible geometry reads as sloppy; an enhancement that changes the property itself reads as deception. The line between the two must be checked, not assumed.
What goes wrong in AI property imagery
- Geometry that breaks — stairs, railings and windows that could not exist
- Staged furniture intersecting walls, floating, or casting wrong shadows
- Enhancements that alter the property: moved walls, invented views, hidden defects
- Fixtures and fittings that differ from what conveys with the sale
- Listing-portal and consumer-law disclosure requirements going unmet
How Chekr checks it
The object-physics, lighting and artifact checks are built for exactly these failures: impossible structures, shadow directions that contradict the scene, and melted detail where generation touched the frame. Findings are pinned, scored and reviewable per listing.
Provenance checks read what metadata the file still carries, which supports disclosure workflows where portals or regulators require flagging edited imagery. Batch scanning through the API fits portfolio-scale listing pipelines.
Frequently asked
Is virtually staged imagery legal to use in listings?
Generally yes with disclosure, but rules vary by market and portal, and misleading enhancement — hiding defects, changing the property — is where liability starts. The scan catches the visual tells; disclosure policy is yours.
Can it tell staging from structural alteration?
The checks flag physical impossibilities and inconsistencies rather than classifying intent — a floating sofa and a window with a view that cannot exist both get pinned, and your team judges the line.
Does it work on batches of listing photos?
Yes — upload in bulk or via the API; each image returns findings and a score in about four seconds, so a full listing set is checked before the listing is written.