A repair photo that came from someone else’s website: what a reverse image search finds, and what it cannot
Not every recycled repair photo is AI. Some are copied off the internet. What a reverse image search can find, why no match proves nothing, and what the file itself says about a copied photo.
An applicant’s photo of their ID: what the file can tell you, and what it cannot
Fake IDs are now sold as ready-made phone photos of a card on a carpet. What checking the file behind an ID photo catches, why “came from a camera” is not “the ID is real”, and where the real check has to happen.
Your photo and your walkthrough video disagree about when it happened. Both are right.
A photo stores the phone’s local time; a video of the same room stores UTC. They can read six or seven hours apart and land on different calendar days. What we measured on twelve real phone videos, and how to read a date before you argue one.
A tenant’s photo of a leak: what retailers learned about AI damage photos, and why you have it easier
Retailers facing AI-made damage photos found the fix was going around the photo to the thing itself. You manage the building, so you already can. What a maintenance-request photo can tell you, and a policy for it.
AI-made receipts on contractor invoices: check the purchase, not the picture
Among fake expense receipts one auditor caught, the AI-made share went from zero to 70.8% in fourteen months. Why the file rarely helps with a receipt, and the supplier check that works either way.
Housefishing: what the new AI listing-photo rules ask for, and why rentals are not covered yet
California’s AB 723 covers the sale of real property, not rentals — we read the bill. What it asks for is the original, unaltered image, and that is a records problem you already have.
The walkthrough video names nobody: what a move-in video actually records
We read the metadata out of two real phone videos and a photo from the same phone. The photo names the phone and the moment the shutter fired. The video names nobody.
Your damage photos will be checked too: what one host’s $16,000 claim teaches a landlord
An Airbnb host’s claim came apart over two photos of one coffee table. What claims reviewers now expect, and five habits that make your photos hold up.
“Those photos are AI”: what happens when a tenant says it at the hearing
What the federal rules committee decided about deepfake claims in 2026, why your word alone may not answer one, and what to bring to a deposit hearing.
“Send me the original”: getting a tenant’s photo with the evidence still in it
Which routes keep a photo’s camera data and which throw it away, a five-minute test of your own inbox, and wording for your move-out letter.
Erased in one tap: what an AI-edited damage photo still records
The AI fraud to expect is a real photo with one thing removed. Most phones record that edit inside the file, until a messaging app throws the record away.
“It was already like that”: checking the photos a tenant sends back
The fraud to expect is a real photo with the wrong date. The camera clock inside the file can often answer it, and sometimes it proves the tenant right.
Contractor invoice photos: what the “after” picture still proves
The invoice fraud to expect is not AI, it is the same photograph billed twice. What a camera original proves, and one sentence for your vendor agreement.
Move-out damage photos: what you can actually prove, and what you can’t
“Those photos are AI” now costs a tenant nothing to say. How to keep your own documentation able to answer it.