Sentence-level highlights
A single percentage tells you nothing about where to look. The report marks the specific sentences that triggered the signal, so you can judge each one on its own instead of arguing with a score.
Review writing patterns with sentence-level context and honest limitations. A score can start a closer look; it cannot prove who wrote a text.
*we regularly validate random samples of results against these detectors
Чим це допомагає
A single percentage tells you nothing about where to look. The report marks the specific sentences that triggered the signal, so you can judge each one on its own instead of arguing with a score.
Flagged passages can be reworked in the same workspace and re-checked immediately, rather than copied out to a second tool and pasted back with the formatting broken.
The report says what the signal is and what it is not. A high score is a prompt to look closer, never a finding of misconduct, and the wording never pretends otherwise.
Що відбувається всередині
There is no watermark in ordinary model output. Detection works from the finished words alone, which is both why it is useful and why it can be wrong.
Generated prose tends to pick the expected next word more often than a person does. The check measures how unsurprising the word choices are across a passage rather than in isolation.
People mix long sentences with short ones and vary how paragraphs open. Model output holds a steadier beat, and that evenness is measurable across a document.
Recurring transitions, symmetrical paragraph shapes, and a consistently neutral register are patterns that often survive a paraphrasing pass, so they carry signal even after editing.
Для реальних навчальних завдань
Check an assignment before submitting to see whether formal phrasing reads as generated, and tighten those passages in your own words. Follow your institution's rules on disclosing AI assistance.
See which sentences carry the signal rather than a bare percentage. Treat the report as the start of a conversation with a student, not as evidence on its own.
Screen a draft before it is published, especially work assembled from several contributors, and rewrite the sections that read as machine-assembled.
Careful, grammatically even prose is exactly what raises a score. Knowing which passages read that way lets you vary them deliberately instead of guessing.
Три прості кроки
Paste the passage or upload the file. Formatting does not need cleaning up first, because the check reads sentence structure rather than markup.
The scan returns an overall likelihood alongside the individual sentences that contributed to it, so the number always comes with its evidence.
Look at what was flagged and why. Rewrite what genuinely reads as generated, and leave alone what is simply formal or concise writing.
Side by side
Most detectors hand back one number. Here is what changes when the report has to justify itself.
What you get back
TextPatrol AI Detector
An overall likelihood plus the sentences behind it, so the score can be checked rather than taken on trust.
A basic tool
A single percentage with no indication of which passage produced it.
Acting on the result
TextPatrol AI Detector
Flagged passages can be rewritten and re-checked in the same place, keeping your formatting intact.
A basic tool
You copy the text into another tool and paste it back, losing structure on both trips.
Formal and non-native writing
TextPatrol AI Detector
The report distinguishes an even, careful register from generated patterning, and says so where the call is close.
A basic tool
Precise, plainly written prose is scored as suspicious with nothing to explain why.
How certainty is expressed
TextPatrol AI Detector
Confidence is stated in words as well as numbers, including when the answer is that the text is genuinely inconclusive.
A basic tool
A decisive-looking figure implies a precision the underlying method does not support.
What the tool claims about itself
TextPatrol AI Detector
Stated plainly: this estimates likelihood, it errs in both directions, and a score is not proof of authorship.
A basic tool
Headline accuracy figures are advertised without the conditions under which they were measured.
Use against a person
TextPatrol AI Detector
The wording is explicit that a result is a prompt to look closer, never a finding of misconduct on its own.
A basic tool
Output is presented as a verdict, which invites decisions no detector can support.
Premium дає вищі ліміти, історію документів, завантаження файлів і всі інструменти для письма в одному зручному робочому просторі.
Продовжуй працювати
Повний гід
What these tools measure, where they are useful, and the questions they cannot answer.
A detector compares writing against patterns typical of generated text: how predictable the word choices are, how uniform the sentence rhythm is, and how repetitive the structure feels. From that it produces a likelihood.
That likelihood is genuinely informative in aggregate. Across a long document, consistent patterning is meaningful in a way a single suspicious sentence never is.
No detector can see who typed a document. It reads the finished words, and identical words score identically whoever produced them.
This is why a score cannot function as proof. It narrows attention; it does not settle the question, and treating it as though it does is how people get wrongly accused.
Different detectors are trained on different material and weigh signals differently, so the same passage can score high in one and low in another. Neither result is lying; they are answering slightly different questions.
Editing shifts scores too. A paraphrasing pass often lowers a score without changing who wrote the underlying ideas, which is precisely why a lower score proves nothing on its own.
Read the flagged sentences rather than the headline number. If the passage is formal, technical, or written by someone working in a second language, the signal may reflect style rather than origin.
Where a result informs a decision about a person, treat it as one input among several, alongside drafts, revision history, and a conversation. That is the standard the number can actually support.
Further reading
Longer guides on how detection works, what a score means, and where the limits sit.
What detection measures under the hood, and why it is a signal rather than a verdict.
Read the guideWhy genuine human writing gets flagged, and who it happens to most.
Read the guideDetection behaves differently on essays, emails, and technical writing.
Read the guideWhy careful non-native prose scores high, and what to do about it.
Read the guideWhat accuracy claims mean in practice and the conditions they depend on.
Read the guideWhere the line sits on disclosure, assistance, and authorship.
Read the guideВідповіді на запитання
This matters more here than on any other page: a detection result can affect somebody's grade or job. The limits below are not fine print, they are how the tool should be read.
Detection estimates how closely writing matches generated patterns. It cannot establish who typed a document, and it should never be the sole basis for an accusation.
Careful, formal, plainly structured human writing can score high, and edited machine output can score low. Both mistakes are real and neither is rare enough to ignore.
Writers working in a second language often produce even, deliberately simple prose. That is a style, not evidence, and treating it as suspicious is the failure mode to guard against.
Analyze a meaningful passage, read the limitations, and keep human context at the center of every conclusion.
Analyze text