How to tell if a photo is AI-generated

AI image generators have gotten good enough that a quick glance is no longer reliable. Still, most synthetic photos leave clues, and a short, ordered check catches many of them before you need any tool.

This is a practical checklist: what to look at first with your own eyes, when to bring in a detector, and how to read the result you get back.

Signs to check with your own eyes

Start with the parts generators still handle badly. Look at hands and fingers, teeth, ears and jewelry, where you often find an extra digit, a melted edge or an asymmetry. Read any text in the image, on signs, labels or clothing, since garbled letters are a strong tell.

Then step back and check the physics. Do the shadows all fall the same way? Does a reflection match what should be in front of the mirror or the window? Skin that looks too even, backgrounds that blur into nonsense, and repeated textures that tile are all worth a second look.

When to bring in a detector

Your eyes catch obvious fakes, but a clean generation can pass a human check. This is where an AI media detector helps: it scans the file for statistical traces that generators tend to leave, such as diffusion-model patterns or pixel-level artifacts, and returns a probability with a confidence level.

Danaya offers a free detector for exactly this. You can drop in a photo, video or audio file and get a result, with one free check a day and no account needed. Treat it as a second opinion that sees things the eye cannot, not as the final word.

A likelihood score is not proof

A detector reads a finished file, so it is always a step behind the newest generators. As models improve, their traces shrink, a clean fake can slip through, and a genuine photo that was heavily compressed or edited can be flagged by mistake. A score tells you how suspicious a file looks, not what actually happened.

When you need certainty rather than a probability, the honest answer is to prove authenticity at the source. Danaya can seal a photo the moment it is captured, binding a SHA-256 fingerprint of the file, the GPS location and a server timestamp. Anyone can then verify that seal from a public link. Use detection to screen photos you receive, and sealing to prove photos you produce.

FAQ

Can you always tell if a photo is AI-generated?

No. Obvious fakes give themselves away through hands, text or lighting, but a careful generation can pass both a human check and a detector. That is why proving authenticity at capture is stronger than trying to detect a fake after the fact.

Are AI image detectors accurate?

They are useful as a screening step, not a verdict. A detector returns a probability based on traces in the file, and its reliability drops as generators improve. Expect both missed fakes and false flags on real but edited images.

What is the fastest way to check one photo?

Scan the hands, any text and the shadows with your own eyes first, then run the file through a free detector for a second opinion. Danaya lets you check one file a day with no account.

Run a photo through the free detector

Scan a photo, video or audio file in two minutes, no account needed. And when a probability is not enough, seal your own media at capture to prove it is real.

Open the detector

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