supadetect

Best AI detectors: how to choose one you can trust

We make an AI detector, so we will not rank ourselves first or score other tools on our own tests. Instead, here is what to look for, and the facts each vendor publishes, with links and dates so you can check them.

Five questions to ask any detector

  1. How often does it call human writing AI? This false-positive rate matters more than headline accuracy, because a false accusation does the most harm.
  2. Was that measured in your language? A rate measured in English says little about Spanish.
  3. Does it show its evidence? Highlighted passages let you judge the result instead of trusting a number.
  4. Does it say when it is unsure? A borderline text should come back as unclear, not as a confident percentage.
  5. What happens to your text? Unpublished work should not be stored or used for training.

What the main detectors publish

Turnitin

GPTZero

ZeroGPT

Pangram

Copyleaks

Facts about other products come from their own pages or from the reports linked, on the date shown. Prices and features change; check the source before deciding.

Our measured numbers

Rendered from the measurement file of Engine 2026.11-oculus-v0. We do not measure other vendors' detectors, so there are no competitor accuracy figures on this page.

English human texts called Likely AI1.2 % (0.9–1.7)
English AI texts called Likely AI89.2 % (87.1–91.0)
Spanish human texts called Likely AI1.4 % (1.0–2.0)
Spanish AI texts called Likely AI99.5 % (98.8–99.8)

Accuracy →

What independent studies found about detectors in general

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