Dechecker analyzes text to identify AI-generated content from models including ChatGPT, Claude and Gemini, flagging AI-written passages at the sentence level rather than giving one score for a whole document, and offering one-click rewrite suggestions to make flagged sections read more naturally. It supports bulk file upload and batch analysis, downloadable detection reports, and multiple languages.
Sentence-level flagging rather than a single document-wide score is the detail that actually makes a detection tool useful for editing: knowing which specific sentences triggered detection lets a writer revise exactly what needs it instead of rewriting an entire piece on a guess. Privacy-focused processing without data storage is also a meaningful reassurance for a tool that, by definition, handles unpublished or sensitive drafts.
AI-detection tools across the industry have real, documented false-positive and false-negative rates, and none should be treated as a definitive verdict – especially for non-native English writing, which detectors frequently misflag. Use this as one signal among several, not a final judgment on a piece of writing.
