Gateway Toolkit / Detector benchmark
Measured, not claimed

Which AI-image and deepfake detector is right more often?

The detectors we route to, scored against real decisions made by people who reviewed the same images and videos. Only measured numbers, with the sample size and a range, and only from teams that agreed to share.

Use them through one APITry the free AI image checker
How a score is madeAI image
One image
Sightengine: AIHive: AIBitMind: real
A person reviews it: AI. Two detectors were right, one missed.
x200+
Repeated over at least 200 reviewed files per detector, then scored with a range.
Only from teams that agreed to share · no names
#DetectorReviewsRight when it flagsCatchesScore range (F1)F1
-BitMind0Not enough reviews yet (0 of 200)
-Hive0Not enough reviews yet (0 of 200)
-Sightengine0Not enough reviews yet (0 of 200)

Right when it flags

Of the files it called AI, how many people agreed were AI. Low means false alarms.

Catches

Of the files people said were AI, how many it caught. Low means misses.

F1 and its range

One score from both. The range shows how sure the number is: fewer reviews, wider range.

Pick the detector, or let us route

Call Sightengine, Hive and BitMind through one key, set the threshold per check, and see every result next to its cost.

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