Originality.AI vs QuillBot AI Detector
Two detectors sold to different buyers, which is what actually drives the difference in how they behave on your text.
| Originality.AI | QuillBot AI Detector | |
|---|---|---|
| Built for | Content agencies, SEO teams, publishers | Students |
| Detects | text | text, image |
| Free tier | None — pay-per-credit. | Free, no signup. |
| Vendor claim | Publishes its own model-by-model benchmark results and open-sources parts of its test sets. | Positions the detector as a free companion to its paraphrasing tools. |
| Main weakness | No free tier makes casual verification impossible | Same company sells the paraphraser that is used to defeat detectors |
Which one flags more
Detectors sold to publishers (Originality.AI 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.