How to Spot AI Images — 2023 Tips Are Nearly Useless Now (2026 Edition)

Honestly, I can barely tell AI images apart these days.

Back around 2023, you could catch most AI images just by checking three things: "six fingers," "garbled text," and "skin that's too smooth." I once got a perfect score on an online AI detection quiz—all 10 questions right—but if I took the same test now, I doubt I'd get even half of them. The latest models like Nano Banana Pro, GPT Image, and Midjourney v7 have fixed nearly all those "classic giveaways."

A few days ago, I was reading a PetaPixel article about Nano Banana 2, and one creator said: "You've been fooled by AI photos before, and you probably didn't even realize it." We've entered an era where that's not an exaggeration.

So I've put together what still works and what doesn't as of 2026.

First, the Dead Tips

"Count the Fingers" No Longer Works

"Check the finger count" was the golden rule of AI image detection in 2022–2023. A sixth finger, joints bending the wrong way, impossible poses—these were dead giveaways.

But as of 2026, major models render hands nearly perfectly. Midjourney v7 has significantly improved finger rendering, and Nano Banana Pro/2 also shows almost no noticeable errors in hand generation. You might still spot subtle errors in complex poses (like interlocked fingers), but the era of filtering AI by counting fingers is over.

"Garbled Text Means AI" Is Almost Invalid Too

AI images used to render signs and newspaper text as meaningless symbols—a reliable clue. This was honestly still quite effective through 2024.

But Nano Banana Pro's text rendering accuracy has been rated at 94%, and GPT Image also excels at text-containing images. For English, it's approaching near-perfection. Non-Latin scripts like Korean or Arabic are still unstable, but judging "AI or not" based solely on English text is now risky.

"Skin That's Too Smooth Means AI" — Also Weakening

This was already a somewhat ambiguous criterion given how prevalent Photoshop retouching is, and the latest models generate pores, blemishes, and fine wrinkles quite naturally. "Skin that's too perfect" isn't completely useless as a criterion, but its reliability has dropped significantly.

What Still Works in 2026

Just because the "classic" tips are dead doesn't mean you can't tell AI images apart at all. You just need to look more carefully.

Physical Consistency Check

This is the most effective visual detection method as of 2026. AI creates images that "look plausible," but it doesn't perfectly understand the laws of physics.

Shadow direction. If objects in the same scene cast shadows in different directions, that's suspicious. There's only one sun—if shadows point multiple ways, something's off.

Reflections. Check whether reflections in glass, puddles, or metal surfaces match the actual scene. AI draws reflections that look "roughly plausible," but the reflected content often doesn't match the original scene. Checking whether a building's glass windows reflect the actual surrounding buildings in cityscape images remains a valid method.

Checking with ELA (Error Level Analysis) Yourself

If you want a more technical approach, there's ELA. It analyzes JPEG compression error levels to check whether each part of an image has the same compression history. AI-generated images show different error patterns compared to photos taken with real cameras.

You can try it yourself with free online tools like FotoForensics, but honestly, interpreting ELA results as a regular user is pretty difficult. I spent about 2 hours practicing with various images, and "something's different, but is it different because of AI or because of Photoshop retouching?" was hard to distinguish. I'd say it's really an expert-level tool.

So What's the Conclusion?

Here's the uncomfortable truth: there is no way to identify AI images with 100% accuracy in 2026. Not with the naked eye, not with detection tools.

But we can't just give up, so here's a practical approach:

First, ask "Could this image exist in reality?" Physically, logically, contextually. This remains the most effective first filter.

Next, check physical details. Shadow direction, reflections, perspective, accessory placement.

If you're suspicious, cross-reference with 2–3 detection tools. Don't trust just one.

And verify the source. Where did this image come from? Is it from a trustworthy news outlet or photographer, or an unattributed social media image? Does it have C2PA metadata? This is becoming a more important question than "is it real or fake?"

Perhaps the real problem isn't "can we tell AI images apart" but rather "our habit of accepting images uncritically." Even before AI, there was Photoshop compositing, staged photos, and photos used out of context. AI didn't create this problem—it amplified the existing one many times over.

The illusion that cameras only capture truth should have been shattered long ago, and perhaps AI is finally making that happen.