Direct answer
To check AI generated text, run it through a detector that analyses the statistical patterns of your prose and returns a percentage of qualifying text flagged as AI-written, then read that percentage as a signal rather than a verdict. Turnitin's AI writing detection is built for long-form English prose, reports a share of qualifying text rather than a share of the whole document, and is explicitly designed to be interpreted by a human reviewer [1]. The practical workflow is: isolate the body text, run the check, inspect sentence-level highlights, and compare the flagged passages against your own drafting history [1].
How Do You Check If Text Was Written by AI?
A detector does not look for "AI words." It measures properties of the text itself — the predictability of word choice, the regularity of sentence rhythm, and the low variance that tends to appear when a language model generates paragraph after paragraph. Turnitin's report presents the outcome as an overall percentage plus sentence-level highlighting, so you can see which segments drove the score instead of guessing from a single number [2].
The scope of the check matters as much as the tool. Detection applies to qualifying prose, and the pipeline excludes elements that are not the author's own continuous writing, such as reference lists and quoted material, which is why a document with heavy citation can score differently from the same word count of unbroken argument [2].
Read the result as evidence to be weighed, not a finding to be announced. Turnitin's own guidance tells instructors to treat the report as a signal and to discuss it with the student rather than treating the percentage as proof of misconduct [2]. That framing is useful for students too: a high score means "this passage reads like generated text," and the next question is always why.
What Does the AI Score in a Detection Report Actually Mean?
The headline percentage is a ratio, not a verdict on your integrity. It expresses the share of qualifying prose flagged as AI-generated, so a document whose qualifying text is a subset of its total word count can show a percentage that looks disconnected from the paper as a whole [3]. Two assignments with identical scores can therefore have very different amounts of flagged text.
The display format carries information too. When a result falls below the detector's confidence threshold, the report shows *% instead of an exact figure — a low-confidence signal rather than a clean pass or a clear hit [3]. Treating *% as "zero" or as "caught" both misread what the system is telling you.
False positives are a documented limitation, not a rumour. Heavily edited drafts, formulaic academic phrasing, and writing produced under tight structural templates can all resemble generated text, which is exactly why the score is paired with highlighting and human judgement [3]. If a passage you wrote yourself is flagged, your revision history and notes are the evidence that resolves it.
Can You Check Your Own Draft Before You Submit It?
Whether you can self-check inside Turnitin depends on your institution, not on you. Turnitin's student-facing checking features are licensed through institutions, so availability is decided by your school's settings rather than by anything you can switch on yourself [4]. Many students therefore never see their own report until after the deadline has passed.
Where self-checking is unavailable, the workaround is documentation rather than detection. Keeping drafts, version history, and notes on your sources gives you a defensible record of process if a score is ever questioned [4]. That record is what turns a conversation about a percentage into a conversation about your work.
The wider direction of institutional policy also matters. Transparency about AI use is increasingly handled through disclosure statements rather than blanket bans, which means knowing your own score early is more useful than arguing about it later [4]. A pre-submission check converts an unknown into a known before it costs you anything.
If your institution does not let you self-check, turnitin0 closes that gap: upload your .docx, .pdf, or .txt draft and receive the same two PDFs your professor sees — a Turnitin AI detection report and a similarity report — usually in under 15 minutes, without your file entering Turnitin's student paper database.
※ Turnitin0.com - Actual Turnitin AI Report Cover, Score, Flag And Similarity Summary
FAQ
Is a high AI score proof that a student cheated?
No. Turnitin presents the result as an indicator for human review, and its guidance directs instructors to discuss findings with the student rather than treat the percentage as a determination [2].
Why does my report show *% instead of a number?
That display appears when the result falls below the detector's confidence threshold, so it is a low-confidence signal rather than a confirmed clean result [3].
Does the check cover my references and quotations?
The detection pipeline works on qualifying prose and excludes non-authored segments such as references and quoted material, so the flagged share reflects your own continuous writing [2].
Can I check text that I only partly wrote with AI?
Yes, and mixed drafting is common. The report's sentence-level highlighting shows which specific segments were flagged, which is more useful for a partly AI-assisted draft than the overall percentage alone [1].
What should I do if a passage I wrote myself gets flagged?
Keep your drafts, notes, and version history, then raise the specific highlighted passages with your instructor. Documented process is the standard way to resolve a false positive [4].