A self-check tool for students: a phrase-and-paraphrase overlap checker, plus a sentence-level AI-content detector. Everything renders in this page — nothing is uploaded or stored anywhere.
Read before you rely on this: this is a self-check draft tool, not your school's official plagiarism/AI system. No detector — this one included — is fully accurate: both plagiarism matching and AI detection can miss real issues (false negatives) and flag clean writing (false positives), especially for non-native English writers or terse technical prose. Use it to catch obvious problems before you submit, not as proof of originality. Always check your institution's actual policy and required tool (e.g. Turnitin) before submission.
Submitted document
0 words
Source 1
0 words
Match sensitivity —6-word phrases
Checking overlap, paraphrase, known-source recall, and AI patterns…
Comparison report
Exact-phrase overlap
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Quotes/citations and bibliography excluded when toggled above — matching how tools like Turnitin score.
AI likelihood (auto-check)
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0
Words scored
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Exact-match words
0
Paraphrase passages flagged
Annotated document
Exact phrase match Paraphrased / reworded overlap Excluded (quote/reference)
Matched passages
Possible known-source matches (model recall — not a live web search)
This check asks Claude to recall whether any passage closely resembles widely published material it may have seen during training (textbooks, articles, common web content). It is not a live internet search and cannot see anything published or updated recently. Treat every flag below as a lead to verify yourself — for example by pasting the excerpt into a search engine — not as a confirmed match.
Text to analyze
0 words
Analyzing sentence by sentence…
AI detection report
AI-generated likelihood
0%
0
Sentences analyzed
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Confidence
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Sentence-rhythm variance
Sentence-by-sentence breakdown
Low AI likelihood Moderate High AI likelihood
Contributing factors
Model-based analysis failed, so this estimate falls back to writing-pattern statistics only (sentence-length variance and vocabulary diversity). Treat it as a rough signal, not a verdict.