TruthScan vs. Hugging Face: AI Image Detection in 2025

AI image detectors have exploded over the past year, and honestly, it’s getting harder to separate the good ones from the ones that just sound good. 

TruthScan has been on a winning streak lately — especially in our tests — and has quickly become one of the most reliable AI image detectors available today. Hugging Face, on the other hand, isn’t a single tool but a massive ecosystem. And part of that ecosystem includes several open-source AI image detection models that people swear by.

So the question is simple:

Does a specialized AI image detector like TruthScan outperform Hugging Face’s open-source detection models?

What is TruthScan?

TruthScan is an all-in-one AI detection suite, but for this article, we’re focusing entirely on what it does best: AI image detection.

Unlike many detectors that rely on outdated classification models or one-size-fits-all algorithms, TruthScan uses a dedicated, continuously updated AI system built specifically for authenticity verification. That means it’s designed to recognize:

• AI-generated images

• AI-manipulated (edited) images

• Deepfakes

• Synthetic texture patterns

• Model-specific artifacts

It tries to answer one question with high precision:

“Was this image created or significantly manipulated by AI?”

Plus, TruthScan works fast — under 100ms — and integrates cleanly with enterprise workflows. But what matters most here is accuracy, not convenience. And if you’ve tested TruthScan before, you already know it does exceptionally well across a range of models (ChatGPT, Midjourney, Stable Diffusion, Nano Banana, etc.).

What is HuggingFace?

Hugging Face isn’t a product. It’s a platform.

Think of it like GitHub, but for machine learning models.

Inside Hugging Face, you’ll find dozens of open-source image detection models, all built by different developers, labs, and research groups. Some of the popular ones include:

• AI-generated image detectors trained on Stable Diffusion

• Detectors fine-tuned for GAN-generated images

• Deepfake classifiers

• Synthetic texture pattern models

• Multi-modal detectors

In short, yes: there is no single Hugging Face AI image detector.

You choose one, hope it works well, and run with it.

For our test, I’m using this model. It has almost 30,000 downloads, and it’s trained on 60,000 AI-generated and 60,000 human images.

TruthScan vs. Hugging Face: Which is More Accurate?

Test #1

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 99%

Hugging Face: Incorrectly classified image as human.
AI Likelihood Score: 0%

Test #2

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 99%

Hugging Face: Detector confused.
AI Likelihood Score: 55%

Test #3

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 99%

Hugging Face: Correctly classified image as AI-generated.
AI Likelihood Score: 100%

Test #4

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 99%

Hugging Face: Incorrectly classified image as human.
AI Likelihood Score: 0%

Test #5

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 99%

Hugging Face: Correctly classified image as AI-generated.
AI Likelihood Score: 100%

Test #6

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 99%

Hugging Face: Incorrectly classified image as human.
AI Likelihood Score: 0%

Test #7

Truthscan: Correctly classified image as AI-generated.
AI Likelihood Score: 99%

Hugging Face: Correctly classified image as AI-generated.
AI Likelihood Score: 100%

Average Score

Test Number

TruthScan

AI Or Not

#1

99%

0%

#2

99%

55%

#3

99%

100%

#4

99%

0%

#5

99%

100%

#6

99%

0%

#7

99%

100%

Score

99%

50.71%

So, What?

TruthScan is built from the ground up to be a real-world AI image detector — fast, consistent, and constantly updated to track the newest generative models. Hugging Face, while powerful, is more of a toolkit than a finished product. Its detectors can be impressive, but they depend entirely on which model you choose and how recently it’s been updated.

Case in point: in this test where TruthScan scored a 99% accuracy, our chosen model for Hugging Face is just 50.71%.

So if you want something polished, stable, and accurate enough for serious use, TruthScan is the clear winner.

If you want to tinker with different models and experiment, Hugging Face is the better playground.