You've probably seen this play out. You or someone you know filed an insurance claim and attached a photo you took on your iPhone. Straightforward enough.
Except your phone's AI enhancement kicked in automatically and now the insurance’s AI detector is flagging it as artificially generated or worse altered.
You didn't create a fake image. Your phone just made it look too good.
That's just one of the many scenarios that these AI image detection tools expose on a daily basis.
And it's exactly what came up when we tested TruthScan and NoteGPT head to head.
What is TruthScan?
Source: TruthScan
TruthScan is an enterprise-grade AI image detector, and it doesn't try to hide that positioning. ISO 27001 certified, SOC 2 compliant, GDPR ready, and trusted by Fortune 500 companies, universities, and government agencies.
This is not a tool built for someone casually fact-checking a Facebook post. It’s AI detection for scale.
TruthScan advertises 99%+ detection accuracy from DALL-E and Midjourney to Stable Diffusion, Gemini, Nano Banana Pro, and Grok.
It also goes beyond pure AI detection into manipulated media, deepfakes, and forensic-grade image analysis with visual heatmaps showing exactly where an image was altered.
There's a free trial that lets you scan 20 images, 23 videos, and 20,000 text (for the the writers out there).
Pricing for the professional tier starts at $49 per month. The highest tier is the Enterprise level which lets you save up to 80%
What is NoteGPT?
Source: NoteGPT
NoteGPT is primarily known as an AI productivity suite, Learn Faster Not Harder is it’s tagline and it’s designed for that.
YouTube summaries, Transcript Generators, PDF summarizers, voice cloning, AI writing, name it and somehow Image detection is one feature inside a swiss army knife.
Pricing starts at $9.99/month on the Pro tier, which gives you 50 image generations and 100 premium credits a month alongside everything else.
The Unlimited plan runs $29/month, and the Max plan sits at $99/month with significantly more processing power and credits across the board.
The Test Setup
Four images.
Image 1 was generated by ChatGPT. Image 2 came from Gemini (Nano Banana). Image 3 was pulled from Facebook.
Image 4 is the control it's a photo taken directly from my phone if this gets.
Test # 1 Image Generated With ChatGPT
Verdict: TruthScan flagged the image as AI generated
AI Probability: 99%
Verdict: NoteGPT flagged the image as Real
AI Probability: 54.09 %
Test # 2 Image Generated With Gemini
Verdict: TruthScan flagged the image as AI generated
AI Probability: 99%
Verdict: NoteGPT flagged the image as AI Generated
AI Probability: 94.33 %
Test # 3 Facebook
Verdict: TruthScan detected the image as a Real
AI Probability: 3%
Verdict: NoteGPT detected the image as Real
AI Probability: 0.02
Test # 4 Photo Taken From Phone
Verdict: TruthScan detected the image as Real
AI Probability: 10%
Verdict: NoteGPT detected the image as Real
AI Probability: 0%
The Test Results By The Numbers
| Test Number | TruthScan | NoteGPT |
| #1 ChatGPT | 99% | 54.09% |
| #2 Gemini | 99% | 94.33% |
| #3 Facebook | 3% | 0.02% |
| #4 Phone Photo | 10% | 0%* |
| Score | 99% | 75% |
The Verdict
Across four tests, TruthScan averaged consistently high scores from start to finish. It didn't just hit a strong peak, It maintained reliability across the set.
The real photo showed a 10% AI probability was flagged but the likely reason is that most modern phones upscales photos with AI automatically.
TruthScan just did its job better.
Both tools agreed on three things: the Gemini image was AI, and the Facebook photo was real. The photo taken from my phone was real.
That's where the common ground ends.
Image 1 is where NoteGPT falls apart. A clean ChatGPT generation came back as "Real" with a 54.09% AI probability.
For casual checks, a 75% hit rate might be acceptable. But if you're running image detection in a workflow that has real consequences such as insurance reviews, KYC, academic integrity.
One wrong call is too much and that’s where TruthScan overtook NoteGPT on our test.
