Sentence-level analysis
AI detection is probabilistic and may produce false positives. Treat the score as one signal, not proof of authorship or misconduct.
Analyze writing patterns, estimate AI probability, and review the sentences that influenced the result.
AI detection is probabilistic and may produce false positives. Treat the score as one signal, not proof of authorship or misconduct.
See what influenced the result and interpret it in context.
01The opening adds context in a more varied, natural rhythm.
02This sentence follows a highly predictable structure and repeats the same transition pattern.
03The closing returns to a specific observation and changes pace.
Locate the passages that show the strongest AI-writing signals.
Analyze text in English, Chinese, Japanese, and many other languages.
Receive a readable result in seconds without waiting for a background task.
Text is sent only for detection and is not published on this page.
Paste text or import a supported document, then review the result without complicated settings.
Add an article, essay, report, or import a TXT, MD, PDF, or DOCX document.
The detector evaluates sentence structure and patterns associated with generated text.
Read the probability, overall verdict, and highlighted sentences together.
AI detection does not depend on one forbidden word. It compares patterns across the passage and estimates how closely the writing resembles generated text.
Repeatedly choosing the most expected continuation can make a passage look unusually uniform.
Similar sentence openings, transitions, and paragraph shapes can raise the score.
Little variation in sentence length and cadence may resemble generated prose.
A narrow vocabulary or recurring generic phrases can become a useful signal.
No single pattern proves AI authorship. Formal writing, translation, heavy editing, and the topic itself can create similar signals, so context still matters.
Detection scores are estimates. Writing style, editing, translation, and text length can all affect them.
Few AI-associated patterns were detected.
Some passages may be generated or heavily edited.
Many patterns resemble machine-generated writing.
Different writing contexts create different signals. Review the result alongside the purpose and audience of the text.
Review essays, research drafts, assignments, personal statements, and school reports before submission.
Scan blogs, newsletters, marketing copy, and editorial drafts for formulaic or overly predictable passages.
Check resumes, cover letters, proposals, business reports, and client deliverables before sharing.
Analyze longer, coherent passages for a more useful signal than a single short sentence can provide.
Detection helps you identify possible AI signals. Humanization helps you revise text that sounds stiff or generic.
Estimates whether text contains patterns associated with machine-generated writing.
Rewrites AI-assisted drafts to improve rhythm, clarity, and natural expression.
An AI detector looks for generation patterns. A plagiarism checker searches for matches with existing sources. A text can be original but AI-generated, or copied without being AI-generated.
What the score means, what can affect it, and how to use it responsibly.
No. AI detection is an estimate and false positives are possible. Never use one score as the sole basis for a high-stakes decision.
Longer, coherent passages usually provide more patterns to analyze. Very short or heavily quoted text is less reliable.
No. It means the writing contains patterns the detector associates with generated text; it does not establish authorship.
Yes. Rewriting, grammar correction, translation, formulaic language, and technical prose can all change detection results.
The detector supports multiple languages. Accuracy may vary by language, topic, and the amount of text supplied.
Paste a passage and review its AI probability and sentence-level signals in seconds.
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