The clearest sign an image is AI-generated in 2026 isn’t melted fingers anymore, it’s small background details: text on signs, repeating patterns like bricks or crowds, and reflections that don’t quite match the scene. Here are five checks that still work, even against today’s best image generators.
Why the old tricks stopped working
Two years ago, spotting an AI image was easy: too many fingers, waxy skin, nonsense text. Modern generators have mostly fixed those obvious glitches. The useful checks have shifted to things that are harder for a model to get right because they’re baked into how it was trained, not surface-level rendering mistakes.
Check 1: Zoom into background text
Foreground text on signs has improved a lot, but small background text, a distant shop sign, a book spine, tiny print on packaging, is still where AI models most often fail. Letters merge, words don’t spell anything real, or the font style shifts mid-word. This is one of the most reliable checks left.
Check 2: Look for repeating patterns
Fences, bricks, crowds of people, rows of teeth, or keyboard keys are all places where AI models tend to repeat or merge details unnaturally. In a crowd scene specifically, look for faces sharing suspiciously similar features, models often recycle facial patterns when filling in background people.
Check 3: Check shadows and reflections
See if a shadow’s direction actually matches the apparent light source in the scene. In glass, water, or metal, check whether the reflection shows the same scene a real reflection would. Eyes are a good place to look too, in a real photo both eyes should reflect the same light source in the same position; AI-generated eyes often have mismatched reflections.
Check 4: Look at hands under stress poses
AI has gotten much better at hands, but still struggles when fingers overlap, grip an object, or interact with rings and bracelets. Count the fingers, check whether the grip makes physical sense, and see whether rings sit naturally relative to the knuckles.
Check 5: Use a provenance tool as your tiebreaker
When your eyes genuinely can’t tell, provenance tools are the more reliable option in 2026. Google’s SynthID embeds an invisible watermark into images generated with Google AI tools that survives cropping and compression; you can check for it directly inside Google Gemini or, on Android, using Circle to Search. Content Credentials (C2PA) work differently, embedding a signed record of an image’s origin, viewable at contentcredentials.org/verify when a file carries them.
Ask the boring questions first
Before zooming into any detail, it’s worth asking who posted the image and where it appeared first. If you’re using an AI chatbot to help verify something, see our guide on AI chatbot prompts for troubleshooting for how to get more useful, specific answers instead of generic ones. A dramatic image that exists only on one anonymous account, with no coverage anywhere established, is worth treating with suspicion regardless of how convincing it looks.
FAQs
Do free AI image detector tools actually work?
Their accuracy varies a lot depending on which generator made the image, and against the newest commercial models they can be barely better than a guess. Treat them as one signal among several, not a final answer.
Can a screenshot remove SynthID’s watermark?
No, SynthID is designed to survive cropping, compression, and screenshots, which is part of why Google is positioning it as a more durable check than visual inspection alone.
Is it illegal to share AI-generated images without labelling them?
Rules vary by region. The EU’s AI Act, for example, introduced requirements around labelling AI-generated content, so check your local regulations if you’re publishing this kind of content commercially.
