How to Spot AI-Generated Images
12 proven detection techniques — from symmetry and hands to lighting and text
AI image generators like Midjourney, DALL-E 3, and Stable Diffusion are now capable of creating photorealistic images that can fool almost anyone at a glance. But they're not perfect. Every AI-generated image leaves subtle artifacts — patterns and flaws that reveal its synthetic origin.
This guide covers 12 categories of AI image tells, drawn from hundreds of examples analyzed in Orai's daily puzzles. Master these, and you'll dramatically improve your ability to tell AI from real.
The best way to learn: Don't just read — practice. Play Orai's daily puzzle to test these techniques on real images with instant feedback.
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1. Unnatural Symmetry Common
AI image generators have a strong bias toward perfect bilateral symmetry. Real-world scenes are rarely this symmetric. If an image feels too perfectly balanced — mirror-like, with both sides matching — that's a red flag.
What to look for:
Pro tip: Real photos have asymmetrical quirks — a tilted branch, an off-center shadow. AI tends to smooth these out into algorithmic perfection.
2. Hands & Fingers Very Common
Hands remain one of AI's biggest weaknesses. Despite improvements in recent models, AI still struggles with correct finger counts, joint anatomy, and hand positioning.
What to look for:
The finger test: When you see hands in an image, count the fingers and check if each joint makes anatomical sense. This simple check catches a huge number of AI images.
3. Text & Signage Very Reliable
AI image generators don't truly understand language. They learn visual patterns of what text looks like, but can't reliably produce real words. This makes background text one of the most reliable AI detection signals.
What to look for:
Why this works: AI treats text as visual texture, not language. A real "STOP" sign always says STOP. An AI "STOP" sign might say "SOTP" or "ST0P" or something that resembles STOP but isn't.
4. Lighting Inconsistencies Subtle
Real photographs have physically consistent lighting — shadows fall away from the light source, highlights align with it, and light bounces follow the laws of physics. AI often gets this subtly wrong.
What to look for:
Pro tip: Pick one obvious light source (the sun, a window, a lamp) and trace whether all shadows and highlights are consistent with it.
5. Texture Repetition Common
AI generates textures (brick walls, paving, fabric, grass) by repeating patterns. Real surfaces have random wear, variation, and imperfection. AI textures can look like seamless wallpaper — too regular, too clean.
What to look for:
6. Geometry & Architecture Reliable
AI struggles with geometric precision. Lines that should converge (like railroad tracks or building edges) often don't. Vanishing points are misplaced. Angles are slightly off in ways that feel "impossible" once you notice them.
What to look for:
7. Eye Reflections Portraits
In real photos, eyes reflect the environment. If someone is outdoors, you'll see sky or trees reflected. AI eyes often look flat, glowing, or have catchlights (the white reflection of a light source) that don't match any visible light.
What to look for:
8. Hair Detail Portraits
Real hair has flyaways, clumps, varied texture, and follows the laws of physics. AI hair often looks painted on — individual strands are too uniform, hair falls in impossible directions, and there's a telltale halo effect where hair meets skin.
What to look for:
9. Color Saturation Common
AI tends to pump up color vibrancy. Skies are impossibly blue, grass is neon green, sunsets are extra dramatic. Real cameras capture flatter, more muted tones with natural color casts.
What to look for:
10. Background Artifacts Very Common
AI is good at rendering the main subject but often loses detail in the background. Objects in the distance dissolve into abstraction, and background elements don't make sense when you trace them.
What to look for:
11. Edge Crispness Subtle
Real camera lenses produce natural softness at edges (slight chromatic aberration, lens blur). AI renders edges with unnatural digital crispness. Objects have clean, sharp outlines that no real lens would produce.
What to look for:
12. Perspective & Scale Subtle
AI struggles with wide-angle perspective distortion. Distant objects sometimes appear too large or too sharp. The horizon line may bend subtly. The scale of objects relative to their distance can be inconsistent.
What to look for:
Putting It All Together
No single technique catches every AI image. The key is to combine multiple checks:
- First impression: Does it feel "uncanny"? Trust your gut.
- Quick checks: Hands, text, symmetry — these are fast and catch most AI.
- Deep checks: Lighting, geometry, edges — for images that pass the quick checks.
- Context check: Does the image make logical sense? Are backgrounds consistent?
The more you practice, the faster these checks become automatic. That's exactly what Orai is designed for — daily practice with instant feedback.
Ready to put these techniques into practice?
Play Today's Puzzle →Frequently Asked Questions
How can I tell if an image is AI-generated?
Check for unnatural symmetry, incorrect hands and fingers, garbled background text, inconsistent lighting, texture repetition, impossible geometry, wrong eye reflections, painted-looking hair, over-saturated colors, background artifacts, and unnaturally crisp edges. Combine multiple checks for the best results.
What is the most reliable AI image detection technique?
Background text is one of the most reliable signals — AI garbles letters in signs and labels. Hands and fingers are also highly reliable, as AI still struggles with correct anatomy. Lighting consistency is a strong tell for more sophisticated AI images.
Can AI generate photorealistic images?
Yes. Modern AI generators can create images that are extremely difficult to distinguish from real photos. However, they still leave subtle artifacts. As AI improves, detection becomes harder — which makes daily practice and building visual literacy more important than ever.
What is the "finger test" for AI images?
The finger test is simple: count the fingers in any image showing hands. AI frequently produces wrong finger counts (more or fewer than 5), fused fingers, or anatomically impossible joints. It's one of the fastest and most reliable AI detection checks.
How do I practice spotting AI images?
Play Orai — a free daily game with 6 images. Each guess gives instant feedback and a specific detection tip drawn from the 12 categories above. Just 2 minutes a day builds lasting visual literacy.
Why does AI mess up text in images?
AI image generators learn visual patterns, not language. They produce text that looks like real writing but is actually meaningless. A real "EXIT" sign says EXIT. An AI "EXIT" sign might say "EX1T" or "EXET" or contain fake characters.
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