TruthScan vs. 10 AI-Generated Images & 10 Real Images

10 AI images, 10 real ones — and TruthScan proved why being aggressive against fakes might be the safer bet.

John Angelo Yap

Updated August 20, 2025

A detective trying to figure out which is robot and human, generated with GPT-4

A detective trying to figure out which is robot and human, generated with GPT-4

Reading Time: 4 minutes

The internet in 2025  is a strange place. Some days, it feels like everything you see online could be AI-made. Other days you’re convinced you can tell the difference — until someone shows you a “photo” that was never real in the first place.

This is why AI image detectors matter more than ever. It’s no longer just about flagging obvious fakes anymore; it’s about dealing with images that look believable enough to fool you. And one of the detectors making waves right now is TruthScan.

We’ve tested it against models like DALL-E, GPT-4o, and Midjourney. But today, we’re doing something a little different: stacking 10 AI-generated images against 10 real images to see how well TruthScan can separate fact from fiction.

What is TruthScan?

TruthScan is an AI-powered image detection tool built to analyze whether a picture was generated by AI or captured in reality. Unlike basic detectors that rely on metadata or resolution quirks, TruthScan digs deeper — looking at pixel patterns, textures, and inconsistencies in how AI models “imagine” details.

That means it can spot the subtle giveaways: a hand with too many knuckles, skin textures that look slightly airbrushed, or even physics that don’t quite make sense in the background.

It’s not perfect — no detector is — but compared to a lot of what’s out there, TruthScan has proven to be consistently accurate across different generators.

The Test Setup

Here’s how the testing will go:

  • 10 AI-generated images from Midjourney.
  • 10 real-world images taken from Freepik, a stock photography site.

This mix makes the test more practical. The goal: answer the simple but crucial question — is this actually real or did an AI somewhere generate it?

TruthScan vs. 10 AI-Generated Images

Test #1

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 98%

Test #2

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 98%

Test #3

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 98%

Test #4

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 98%

Test #5

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 98%

Test #6

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 98%

Test #7

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 97%

Test #8

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 97%

Test #9

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 93%

Test #10

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 91%

TruthScan vs. 10 Real Images

Test #1

Truthscan: Correctly classified image as real.
AI Likelihood Score: 5%
Correctness: 95%

Test #2

Truthscan: Incorrectly classified image as AI-generated.
AI Likelihood Score: 82%
Correctness: 18%

Test #3

Truthscan: Incorrectly classified image as AI-generated.
AI Likelihood Score: 92%
Correctness: 8%

Test #4

Truthscan: Incorrectly classified image as AI-generated.
AI Likelihood Score: 90%
Correctness: 10%

Test #5

Truthscan: Incorrectly classified image as AI-generated.
AI Likelihood Score: 79%
Correctness: 21%

Test #6

Truthscan: Correctly classified image as real.
AI Likelihood Score: 4%
Correctness: 96%

Test #7

Truthscan: Correctly classified image as real.
AI Likelihood Score: 6%
Correctness: 94%

Test #8

Truthscan: Correctly classified image as real.
AI Likelihood Score: 3%
Correctness: 97%

Test #9

Truthscan: Correctly classified image as real.
AI Likelihood Score: 3%
Correctness: 97%

Test #10

Truthscan: Correctly classified image as real.
AI Likelihood Score: 2%
Correctness: 98%

Test Results

Test Number

Truthscan vs. AI
(Correctness)

Truthscan vs. Real Images
(Correctness)

#1

98%

95%

#2

98%

18%

#3

98%

8%

#4

98%

10%

#5

98%

21%

#6

98%

96%

#7

97%

94%

#8

97%

97%

#9

93%

97%

#10

91%

98%

Score

The Bottom Line

When put up against 10 AI-generated images and 10 real ones, TruthScan pulled off an impressive feat. Against AI content, it scored a 96.6% correctness rate — nearly flawless. It consistently flagged synthetic images with accuracy that most other detectors can’t match.

Where things got trickier was with the real photos. TruthScan came in at 63.4% correctness there, sometimes mislabeling authentic images as AI. 

On paper, that might look like a flaw, but in practice it shows just how aggressively the system is tuned to catch even the most subtle signs of AI generation. In other words, it errs on the side of caution — which isn’t always a bad thing if your priority is protecting yourself from fakes.

Here’s the key takeaway: TruthScan absolutely dominates when it comes to spotting AI imagery. It’s better to deal with a few false alarms on real photos than to let AI-generated images slip through undetected. In a world where convincing fakes are multiplying daily, that’s the tradeoff you actually want.

So yes, TruthScan isn’t perfect. But it doesn’t need to be. What it offers is something more important: confidence that if you’re worried about AI-generated visuals, it’s going to catch them. And that’s why, despite the harsher treatment of real images, TruthScan still earns a strong recommendation. 

It’s not just another detector — it’s one of the few you can genuinely count on to keep AI images in check.

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Written by John Angelo Yap

Hi, I'm Angelo. I'm currently an undergraduate student studying Software Engineering. Now, you might be wondering, what is a computer science student doing writing for Gold Penguin? I took up studying computer science because it was practical and because I was good at it. But, if I had the chance, I'd be writing for a career. Building worlds and adjectivizing nouns for no other reason other than they sound good. And that's why I'm here.

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