AI Image Detector Comparison: How to Choose
No image detector is perfect, so the useful question is not “which one is accurate?” but “which one is honest about what it can do?” The tools you will run into, including Hive, Illuminarty, and ZeroGPT, differ less in their marketing than in how they handle uncertainty, privacy, and provenance. Judge them on those.
This page gives you a short list of things to test, a fair way to compare two tools, and where our own app fits. Public details change, so check each provider’s current features and pricing before you commit.
What to test before you trust a detector
- False positives. How often does it flag real photos as AI? In most workflows, wrongly flagging real work costs more than missing a fake, so weight false positives heavily.
- Uncertainty. Does it explain a mid-range score, or force a real-or-fake label? Good tools admit when they are unsure.
- Provenance. Does it check Content Credentials (the C2PA standard) as well as statistical patterns? A detector that only reads pixels misses the strongest evidence when it exists.
- Privacy. Are uploads stored, logged, or used for training? If you handle other people’s images, this decides the tool for you.
- Original files. Does it ask for the original, or accept a screenshot that removes the evidence it needs?
How the popular tools differ
Hive is best known for detection sold as an API to platforms and developers, so it fits teams that want to integrate checks into a product. Illuminarty focuses on a browser-based AI image detector for individuals. ZeroGPT is a free checker suite best known for text detection, with an image tool alongside it. Each is built for a different user, which matters more than a single score.
Read every accuracy claim with the same skepticism. A headline number usually comes from a specific test set, and results move with the generator, the image quality, and whether the file was re-saved. The only number that matters is how a tool performs on your images.
Run a fair comparison yourself
You can settle most of this in ten minutes. Build a test set of ten to twenty images: some you know are AI-generated, some you know are real, and a few edited photos. Run the same original files through both tools and record misses and false positives separately. If a tool cannot accept an original file, note the penalty, because real workflows rarely start from a perfect upload.
Two tools that disagree are common. When they do, fall back on the other signals: trace the earliest source, check for Content Credentials, and run a reverse image search. The guide to how AI image detectors work explains why disagreement is expected rather than a sign one tool is broken.
Where AI Detector fits
We built AI Detector for people who check images often and want a clear answer fast. The app returns a color-coded 0-100% score in under three seconds, keeps a private history on your device, and never stores your images. On the web, the free AI image checker does the same with no account.
We are honest about the limits. A score is a probability, not proof, and we say so in Do AI Image Detectors Actually Work? The Android and iOS apps are both free to download.
Common questions
Is there one AI image detector that is always accurate?
No. Detection is probabilistic. Compression, edits, screenshots, and new generators all affect accuracy, so every tool produces false positives and misses. Compare how each tool handles uncertainty, not just its best-case result.
Is a free AI image detector as good as a paid one?
Sometimes. Free tools often use the same underlying models but limit volume, resolution, or features. Price is a weak signal on its own. Test the free tier on images you already know the answer for.
How do I compare two detectors fairly?
Use the same original files for both, include a mix of known AI and known real images, and track false positives as well as misses. Screenshots and re-saved copies distort the comparison.
Can I rely on a detector score by itself?
No. A score is one signal. Confirm important images with provenance, a reverse image search, and the source, then decide. We explain why in Do AI Image Detectors Actually Work?
Test it on your own images
Download AI Detector and compare the result with the tools you already use.
