Notes on media authenticity, AI detection and proving a photo or video is real.
Why a faked damage photo is hard to catch, why detection alone will not settle it, and how requiring a photo captured live changes the economics of refund fraud.
Why ordinary rental photos get challenged, why platforms now reject AI-edited images, and how sealing a photo at capture makes your evidence defensible.
Reverse search, metadata, provenance, AI detection and proof at capture: the workflow professionals use to verify media, and where each method stops.
Why ordinary claim photos get challenged, and how sealing a photo at capture makes your before-and-after evidence defensible.
An instrument reading shows a measurement exists, not that anyone was on site. Here is how to prove the visit, and stop ghost inspections.
A plain work photo proves little when a client or insurer pushes back. Here is what makes proof-of-work hold up.
A practical checklist: what your eyes can catch, where a detector helps, and why a score is not proof.
Why detection can only estimate, and how sealing a photo at capture gives a definite answer.
EXIF date, location and device are easy to fake or strip. Here is what a seal made at capture adds.
What a detector actually measures, where it is useful, and why a probability is not the same as proof.