How to Tell if an Image Is AI-Generated

AI image generators like Midjourney, DALL·E, Google Imagen and Flux have gotten good enough that a quick glance is no longer enough. Realistic portraits, product shots and "photos" of events that never happened now circulate daily. This guide walks through what still gives AI images away, the checks a careful person can run, and why the most reliable answer usually comes from a detector rather than the naked eye.

Why it matters

AI-generated images are used in romance scams, fake marketplace listings, fabricated news, manipulated dating profiles and synthetic "evidence." Being able to question an image before you trust, share or act on it is now a basic digital-literacy skill.

1. Zoom in on hands, teeth and ears

Generative models still struggle with the fine, repetitive structure of the human body. Look for hands with the wrong number of fingers, fingers that merge or bend unnaturally, teeth that blur into one another, and ears with mushy or asymmetric detail. Jewelry, watches and glasses frames are common failure points too — an earring that only exists on one side, or glasses arms that don't line up.

2. Read the text in the image

Signs, labels, book spines, license plates and clothing logos are one of the fastest tells. AI frequently produces text that looks right from a distance but dissolves into gibberish or invented characters up close. If a "photo" of a storefront has a sign you can't actually read, be suspicious.

3. Check lighting, shadows and reflections

Real photographs obey physics. AI images often don't. Look for shadows that fall in inconsistent directions, reflections in eyes, mirrors or windows that don't match the scene, and light sources that can't be reconciled. Skin and metal that look lit by different rooms in the same frame are a red flag.

4. Inspect skin, hair and textures

AI skin is frequently too smooth — poreless, waxy, and evenly toned in a way real skin never is. Hair can look painted rather than made of individual strands, especially where it meets the background. Fabric patterns may warp or fail to line up across seams. Backgrounds often "melt": railings that don't connect, bricks that drift out of alignment, crowds where distant faces turn to mush.

5. Look at the metadata (and understand its limits)

Every camera embeds EXIF metadata — device model, lens, exposure, GPS, timestamps. Many AI tools embed nothing, or leave telltale software tags. Missing camera metadata isn't proof of AI (social platforms strip EXIF on upload), but a genuine camera fingerprint is meaningful supporting evidence. Some newer generators and cameras also embed C2PA "Content Credentials" — a signed provenance record worth checking for.

The limits of looking with your eyes

Here's the uncomfortable truth: the best models of 2026 routinely produce images with none of the obvious tells above. Studies repeatedly show people perform close to a coin flip on modern AI faces. Manual inspection catches the sloppy fakes and misses the good ones — which are exactly the ones designed to fool you.

That's where automated detection comes in. Specialized detectors are trained on millions of real and synthetic images and pick up statistical fingerprints — subtle patterns in noise, frequency and compression — that no human can see. The strongest results come from combining several detectors plus a metadata check, so one model's blind spot is covered by another. (See our comparison of the best AI image detectors.)

Frequently asked questions

Can you always tell if an image is AI? No. With current models, no single visual clue is reliable on its own. Treat the tells above as reasons to investigate further, not as proof.

Does missing metadata mean an image is fake? Not by itself. Most platforms remove metadata when you upload. It's one signal among many, not a verdict.

What's the most reliable way to check? Run the image through a multi-model detector that also examines metadata, and escalate genuinely ambiguous cases to human review. See 7 signs a photo is AI for a fast checklist.