Direct answer
To check whether a text was written by AI, you run the document through an AI writing detector that analyses the prose and returns a percentage of the text it classifies as likely machine-generated, with the flagged passages highlighted. Turnitin's AI writing detection works this way: it scans submitted prose, marks the segments that look AI-generated, and reports an overall percentage rather than a pass-or-fail verdict [1]. The score is an indicator that should be read alongside your drafts, notes, and revision history, not treated as proof on its own [1].
How Can I Check Whether a Text Was Written by AI?
The practical answer is that you submit the document to a detector and read three things: the overall percentage, the highlighted segments, and the confidence level behind the number. Turnitin's AI Writing Report is built exactly around those three elements — an overall score, colour-coded highlights showing which sentences triggered the flag, and a note when the signal is too weak to report precisely [2]. That structure matters because a bare percentage tells you nothing about where the problem sits, while the highlights show you the specific passages an instructor would see [2].
A useful habit is to check a text more than once, because detection is a snapshot of a draft rather than a permanent label. Reports are generated per submitted document, so you can revise the flagged passages and re-run the check to compare scores and confirm the changes actually moved the number [2]. This is how students distinguish a genuine rewrite from a cosmetic edit that leaves the underlying sentence patterns untouched.
Finally, understand what the detector is and is not looking at. Turnitin's AI detection analyses prose only — it does not evaluate grammar, spelling, structure, or writing quality, and it is designed to help instructors identify possible AI use rather than to grade the work [1]. A high score therefore means "this prose pattern resembles machine output," not "this essay is bad" or "this student cheated" [1].
What Does the Turnitin AI Score Percentage Actually Mean?
The percentage represents the share of the document's prose that the detection model classifies as likely AI-generated — it is a proportion of text, not a grade, a quality rating, or a measure of how much effort you put in [3]. A score of 30% means roughly a third of the analysed prose carried AI-like patterns; it does not mean the essay is 30% correct or 30% plagiarised [3].
Scores are also not comparable across documents, assignments, or institutions. A 30% on one paper does not carry the same meaning as 30% on another, because the percentage depends on the text itself and on how the model reads that particular piece of writing [3]. Comparing your score to a classmate's is therefore far less informative than comparing your current draft to your previous one [3].
Turnitin itself frames the number as a starting point for discussion rather than a final judgement, which is why instructors are advised to combine the score with other evidence such as drafting history and knowledge of the student's writing [3]. When the detected amount falls below the model's confidence threshold, Turnitin displays an asterisk-style *% rather than an exact figure, signalling that the result should be treated as a low-confidence signal [2]. Reading the score in that context keeps you from over-reacting to a single number.
How Do I Get a Real Turnitin AI Detection Report for My Own Text Before I Submit It?
The core obstacle is access: students normally cannot run their own institutional Turnitin check before the official submission, because the report is generated inside the instructor's assignment and belongs to that workflow [4]. That is why so many students look for an independent way to see the same kind of AI and similarity report ahead of the deadline, rather than discovering the result only after the work has been graded [4].
Before using any outside checker, confirm what your institution's AI policy actually allows. Turnitin advises students to understand their school's rules on AI use and to keep drafts, notes, and revision history as evidence of authorship, since those artefacts are what an instructor would weigh alongside any detection score [4]. A pre-submission check is a self-review tool; it does not replace the official submission and it does not change your institution's policy [4].
When you do want a preview, the goal is to see what an instructor would see: a report covering both AI writing detection and text similarity, generated on your own draft, with the flagged passages visible so you can revise them deliberately [4]. Keeping the report and your revised draft together also gives you a documented record of the work you did between versions, which is exactly the kind of evidence that supports authorship if a question ever arises [4].
Reading the score is only half the job — the other half is seeing the actual report on your own draft before the deadline decides the outcome for you. That is what turnitin0 was built for: students upload a.docx,.pdf, or.txt file and receive the same AI detection and similarity reports an instructor sees, typically in under 15 minutes, without the file ever entering Turnitin's student paper database. Over 100,000 reports have been delivered this way, and the check is pay-per-use rather than a subscription, so you can verify a single draft the night before submission and know exactly where you stand.
※ Turnitin0.com - Actual Turnitin AI Report Cover, Score, Flag And Similarity Summary
FAQ
Is checking my text with an AI detector cheating?
No. Running a self-review check on your own draft is a verification step, not an act of academic misconduct. Turnitin advises students to understand their institution's AI policy and to keep drafts and revision history as evidence of authorship, which is exactly what a pre-submission check supports [4].
Why does my AI score show an asterisk instead of a number?
Turnitin displays *% when the detected amount of AI-like prose falls below its confidence threshold, meaning the signal is too weak to report as an exact percentage [2]. Treat it as a low-confidence indicator rather than a precise measurement.
Can I lower my AI score by editing the flagged sentences?
Yes — the report highlights the specific segments that triggered the flag, so you can revise those passages and re-run the check to see whether the score moved [2]. Detection is a snapshot of a draft, so comparing before-and-after scores is the reliable way to confirm your edits worked.
Does a high AI percentage mean I will be penalised?
Not automatically. The percentage reflects the share of prose classified as likely AI-generated and is not a quality or misconduct verdict, which is why Turnitin recommends treating it as a conversation starter alongside other evidence [3]. Your drafting history and your institution's policy carry the real weight [4].
What should I do if I used AI to help draft my assignment?
Check the text before you submit so you know what an instructor would see, then revise the flagged passages deliberately rather than guessing [2]. Confirm your school's AI policy first, since rules on permitted AI assistance vary between institutions [4].