Detection guide · 6 min read
How to Tell If an Image Is AI Generated
AI images can look convincing at a glance, but they often break down when you slow down and inspect the evidence. The best approach combines visual signals, source checks, and healthy skepticism.
Start with the image details
Look closely at hands, teeth, jewelry, reflections, background objects, and any visible text. AI models often make small details that look plausible for a second but fail under careful inspection.
Do not rely on one clue alone. A strange finger or warped logo can also happen in real photos because of blur, compression, or unusual perspective.
Check lighting and geometry
Real photos usually have consistent shadows, lens behavior, and perspective. AI images may mix multiple lighting directions or produce objects that do not line up with the scene.
Pay attention to repeated textures such as hair, fabric, leaves, crowds, and architecture. These areas often reveal synthetic patterns.
Verify the source
Search where the image first appeared, who posted it, and whether credible sources also use it. Reverse image search can help find earlier versions or related posts.
If the image makes a surprising claim, the context matters as much as the pixels. Treat viral screenshots and cropped images with extra care.
Use tools as supporting evidence
AI detectors can be helpful, but they are not final proof. Compression, editing, screenshots, and model updates can all reduce accuracy.
Use detector results alongside visible evidence, metadata, source history, and your own judgment.
FAQ
Can you always tell if an image is AI-generated?
No. Some AI images are difficult to identify, especially after editing or compression. The safest method is to combine visual clues, source checks, and detection tools.
What is the most common sign of an AI image?
Common signs include distorted hands, unreadable text, inconsistent reflections, strange background details, and repeated textures that look too smooth or too patterned.
Are AI image detectors always accurate?
No. Detectors can produce false positives and false negatives, so their output should be treated as one signal rather than a final answer.
Practice with examples
Think you can spot the difference?
Try the Real or AI quiz and test your judgment against real photos and synthetic images.
Try the Real or AI image quiz