AI text detector
Scores every sentence against a language model — how predictable each word was, and how far the writing steps off the model's expectations. Probabilistic, and honest about it.
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Related tools
Text uniqueness checkFinds the pages that already carry this wording, and what share of your text they cover. Every match is a page we downloaded and compared, not a search result we trusted. Image uniqueness checkFingerprints the picture (pHash/dHash) and looks for the same or a near-identical one already published, including stock-library traces. De-AI text rewriterRewrites a draft so it stops reading as machine-written: stock transitions cut, rhythm varied, over-used words replaced — then measured again with the same detector to prove it worked. De-AI image recoderRe-codes a generated picture so its pixels behave like a photograph — crop, resample, sensor-matched grain, camera-like encoding — and hands the file back. AI image detectorReads provenance metadata (C2PA, generator tags, camera EXIF) and, when that has been stripped, the sensor-level forensics of the pixels themselves.
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