AI image detection has become one of those things that sounds niche until you actually need it.
A student submits an “original” illustration that looks a little too clean. A school paper uses a photo that spreads fast and gets questioned later. A teacher wants to verify whether a project image is real, edited, or generated.
In practice, most people aren’t looking for forensic certainty. They’re looking for a reliable signal — and a workflow that doesn’t create more confusion than it resolves.
This article compares TruthScan and NoteGPT for AI image detection only. No AI text detection, no summarizers, no study tools. Just: “Does this image look AI-generated or manipulated?”
What is TruthScan?
TruthScan is an enterprise-grade AI detection platform that includes image detection alongside other media types. It markets itself as a high-accuracy system built for volume, audit trails, and investigation-style outputs.
What stands out is the framing. TruthScan doesn’t just promise an answer. It promises evidence: visual analysis, detection heatmaps, and “digital alteration detection” that explicitly includes Photoshop-style manipulation, not only generative AI.
It also has an API and batch processing positioning, which usually indicates the product expects serious usage — moderation teams, platforms, or organizations that process a lot of images.
What is NoteGPT’s AI Image Detector?
NoteGPT is primarily an all-in-one AI learning assistant. But it also offers a standalone AI Image Detector as a free, browser-based tool.
The detector page is positioned around simplicity: upload an image, get a result, move on. It explicitly mentions spotting AI-generated or modified photos and references common generators like Midjourney, DALL·E, and Stable Diffusion.
The need here is different from TruthScan. NoteGPT’s detector reads like something designed for quick checks and everyday users, not enterprise workflows.
TruthScan vs. NoteGPT: AI Image Detector
Test #1
Verdict: TruthScan detects image as AI-generated.
AI Likelihood Score: 97%
Verdict: NoteGPT detects image as AI-generated.
AI Likelihood Score: 96.16%
Test #2
Verdict: TruthScan detects image as AI-generated.
AI Likelihood Score: 97%
Verdict: NoteGPT detects image as AI-generated.
AI Likelihood Score: 100%
Test #3
Verdict: TruthScan detects image as AI-generated.
AI Likelihood Score: 97%
Verdict: NoteGPT detects image as human.
AI Likelihood Score: 12.78%
Test #4
Verdict: TruthScan detects image as AI-generated.
AI Likelihood Score: 99%
Verdict: NoteGPT detects image as AI-generated.
AI Likelihood Score: 99.34%
Test #5
Verdict: TruthScan detects image as AI-generated.
AI Likelihood Score: 99%
Verdict: NoteGPT detects image as AI-generated.
AI Likelihood Score: 95.05%
Average Score
The Bottom Line
Once you plug in the test results, the gap becomes hard to ignore.
Across five runs, TruthScan averaged 97.4% and stayed consistently high from start to finish. It didn’t just hit a strong peak — it maintained reliability across the set.
NoteGPT averaged 80.67%, which is still decent on paper, and four of the five results were high. But the difference is the variance. One test dropped sharply to 12.78%, and that single miss is enough to change how you can use the tool in practice.
So the distinction is pretty clear:
- If you want a free, quick first-pass check, NoteGPT can still be useful — as long as you treat it as triage, not confirmation.
- If you want something you can rely on more consistently for real decisions, TruthScan is the stronger option based on these scores.
That said, five tests is still a small sample. But within this set, TruthScan behaved like a tool you can lean on. NoteGPT behaved like a tool you double-check.
