Hive AI detector review

Hive is a San Francisco AI company founded in 2013 by Kevin Guo and Dmitriy Karpman, valued at $2 billion in its 2021 funding round. Its main business is content moderation for platforms, and its AI-generated content detector covers text, images, video and audio.

Images: genuinely strong

A University of Chicago study reported 98% overall accuracy for Hive's AI image detection with no false positives in the test set, ahead of the other detectors and of human reviewers. If your question is whether a photo or artwork is AI-generated, Hive is one of the best answers available.

Text: middle of the pack

Text is weaker. A March 2026 independent benchmark of 2,400 samples measured 88% overall accuracy with a 9% false-positive rate. It caught purely AI-written text reliably, but missed AI text that had been edited or polished with a tool like Grammarly. A 9% false-positive rate means roughly one human-written document in eleven flagged, which is too high to use on students.

Pricing

The free web demo is what most people searching for Hive actually use. The paid product is an API aimed at platforms, not at individual writers.

Who it is right for

• Platforms moderating user uploads at scale, especially images and video.
• Anyone checking whether a single image is AI-generated.
• Not teachers or editors judging written work, where both the false-positive rate and the missed edited text are problems.

For writing, a score is the least useful output a detector can give. Knowing which sentences look generated, and why, is what lets you fix a draft or defend one. That is what our free analyser shows.