How this detector reads Claude writing
Anthropic's Claude tends to write with more natural sentence variation and slightly less predictable phrasing than the most uniform models, so Claude text can score marginally lower on perplexity-based detectors. That difference is real but small, and it doesn't make Claude output safe — detectors read signals common to all current models, and Claude essays still flag frequently, especially the long, formal academic ones students generate.
This detector doesn't try to identify Claude specifically — no tool can. It shows how machine-like your text reads across Turnitin, GPTZero and Originality and highlights the sentences carrying the most risk. Because Claude's output is varied, the risk is often concentrated in fewer, specific passages rather than spread evenly, which makes the per-sentence view especially useful for targeted revision.
Where a real fingerprint remains, the Powerful Model clears it so detectors read it as human while preserving your argument and citations, under the Green-Or-Free guarantee. Keep your drafts and version history, and rely on the literal promise that your text is never stored, sold, or used for training.