Copyleaks AI Detector vs Pangram Labs
Two detectors sold to different buyers, which is what actually drives the difference in how they behave on your text.
| Copyleaks AI Detector | Pangram Labs | |
|---|---|---|
| Built for | Enterprises, education platforms | Researchers, institutions |
| Detects | text | text |
| Free tier | Limited free scans. | Limited. |
| Vendor claim | States over 99% accuracy in its own marketing material. | Publishes peer-reviewed-style evaluations and focuses explicitly on driving false positives down. |
| Main weakness | The headline accuracy figure is vendor-reported and not independently reproduced | Smaller product surface |
Which one flags more
Detectors sold to publishers (Pangram Labs sits closer to this end) are tuned to reject borderline text, because a missed AI draft costs the buyer more than a wrongly rejected human one. Detectors sold into education have the opposite incentive, at least in principle, because a false accusation is a serious institutional problem.
That trade-off, not model quality, explains most of the disagreement you will see when you run the same paragraph through both.
If you are choosing one to trust
- Ask for the false-positive rate, not the accuracy figure. Accuracy hides the number that hurts people.
- Test with your own known-human writing before you rely on either.
- Never treat a single score from either as a finding of fact.