Free vs Paid AI Detectors: An Honest Comparison
Yes, we make a free detector — and we're going to tell you when you should pay for one anyway. Here's the no-nonsense breakdown.
The short version
| Free tools (incl. ours) | GPTZero | Originality.ai | |
|---|---|---|---|
| Price | $0 | Free tier, then ~$10+/mo | ~$14+/mo (credit-based) |
| Unedited AI accuracy | 78–85% | ~92% | ~89% |
| Edited AI accuracy | 55–65% | ~68% | ~64% |
| Your text sent to servers | Varies — ours: never | Yes | Yes |
| Signup needed | Usually no | Yes (full features) | Yes |
Accuracy figures from our 100-sample test, October 2026.
When free is enough
Quick sanity checks on unedited-looking text. Draft reviews. Personal curiosity. Classroom demonstrations. If the text is raw model output — and much of it is — a good free statistical detector catches it nearly as well as the paid ML models. The 5–10 point accuracy gap rarely changes the conclusion on obvious cases.
When you should pay
Three situations: 1) You're screening edited or paraphrased AI text regularly (publishers, large courses) — ML models degrade more gracefully. 2) You need batch/API processing of hundreds of documents. 3) You need audit trails and reports for institutional use. For one-off checks, paying is overkill.
The privacy question nobody asks
Here's what the comparison tables skip: paid detectors upload your text to their servers. Every scan of a confidential contract, an unpublished manuscript, or a student's essay sits on someone else's infrastructure. Free in-browser tools like ours never see your text at all. For sensitive documents, the "worse" free tool is actually the safer choice. Ask any vendor where your text goes before you paste.
Our bias, stated plainly
We sell nothing, so our incentive is simple: be the tool people trust for quick, private checks. Paid tools are better at hard cases — we'll say so. But for the 80% of checks that are straightforward, free is enough, and private-by-design beats server-side every time for confidential text.
Try the Free DetectorLast updated: October 14, 2026.