Humanizer AuditHumanizer Audit
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Independent · Updated monthly

Humanizer Audit

AI humanizers promise text that slips past detectors. We read every output, blind, to see which ones still say what you wrote.

    blind-review.diff
    Bottom line

    Ranking

    All benchmarks

    Across the benchmarks

    Combined

    One ranking from all three

    What matters to you
    How much each benchmark counts

    Combined ranking with these settings

      Who holds up in the combined ranking

      Detection versus faithfulness

      Where each tool lands

      Tool by tool

      Rank it your way

      Ranking with these weights

        Who holds up across weightings

        Over time

        Six months of the same pattern

        Usability in the blind review, 1 to 5, for every audited month. A gap means the tool was not in that month's test.

        The leaderboard's #1 against our faithfulness ranking

        Every audited month

        Detector results

        Its own quality checks

        Share of each tool's outputs that passed the check, as HumanizerEval reports it. Factual consistency and naturalness reproduce from its per-output file; the other checks have no per-output data and are its own claim.

            Other benchmarks

            Is there anything better?

            Method and limits

            How this was done