Turnitin AI Checker
Check your draft before you submit it: paste an essay and get the exact phrases marked that read as AI-written, each with the reason named. What it is not is a Turnitin score, because nobody outside Turnitin can produce one — the model is not licensed to third parties, so every free Turnitin checker on this results page is running its own detector under Turnitin's name. Below: what the real report measures, why students never get to see it, and what to do if your own writing is flagged.
What the Turnitin AI writing report actually contains.
Most of what people believe about this comes from other students rather than from Turnitin’s own documentation, and the two differ in ways that matter.
- Two separate scores that get confused constantlyThe similarity score and the AI writing score answer different questions. Similarity matches your text against documents that already exist and reports overlap. AI writing looks at your text alone and estimates how much of it was generated. A paper can be zero per cent similar and high on AI, or heavily similar and zero on AI, because the two measure nothing in common.
- Students cannot see the AI scoreThis is the single most useful fact on this page. Turnitin shows the AI writing indicator and report to instructors only. If you submit through your institution, you do not get to look at your own number, which is why so many people go searching for something that will show it to them. Nothing will, because nothing outside Turnitin has the model.
- It only scores text it considers eligibleThe report runs on long-form prose in English and skips material that does not qualify: passages that are too short, bullet lists, heavily quoted sections, bibliographies. The percentage is of the qualifying text rather than of your whole document, so a figure can look alarming while describing a fraction of what you submitted.
- It looks for paraphrasing-tool processing specificallyTurnitin states that its report attempts to identify text that was AI-generated and then run through a paraphrasing tool or word spinner, naming that pattern directly. The workaround people reach for most is a documented target, and being flagged for both is a worse position than being flagged for one.
- The low band is the least reliable partUniversity guidance, Purdue's among the clearest, notes a higher rate of false positives where the reported figure falls between zero and twenty per cent. That is precisely the range an honest student with regular prose is most likely to land in, which is why a small non-zero number should not be read as a small amount of evidence.
Why no free Turnitin AI checker can give you a Turnitin score.
Search for a Turnitin AI checker and you will find several sites promising a free, unlimited, no-signup Turnitin check, some of them with Turnitin in the domain name. It is worth understanding exactly what those are, because the answer is simple and nobody selling one says it.
Turnitin’s AI model is not available to anyone else. It is not an API you can call, not a licence you can buy as an individual, and not something a third party can reimplement, because the thing being reimplemented is a trained model rather than a published method. A site that produces a number and calls it a Turnitin score is producing a different tool’s number under a borrowed name.
Those numbers will not match, and the mismatch is not small. Detectors disagree with each other constantly, because each was trained on different output and each drew its threshold somewhere else. Passing a third-party check tells you that one particular model was unconvinced. It tells you nothing about what an instructor will see.
We are not affiliated with Turnitin. This page explains the report; it does not reproduce it. What you can run here is our own AI check, which reads your text sentence by sentence and shows you which passages are statistically predictable. That is genuinely useful for deciding whether a draft reads as machine-made, and it is not a Turnitin result.
How ChatGPT, Claude, Gemini, DeepSeek, Grok and LLaMA text behaves in academic submission.
Nobody outside Turnitin can tell you what a specific model scores, so these sections describe what each assistant leaves behind and why it matters to a marker.
ChatGPT Turnitin checker
The most common version of this question, and the one where expectations are furthest from what the report does.
ChatGPT prose is the most represented in every detector's training, so it is what these systems recognise best. The structural habit is what carries the signal: an opening that restates the question, evenly weighted body paragraphs, a closing that summarises. Uniform paragraph length across an essay is visible to the report and to a marker reading it.
Newer versions write with more variation than GPT-4 did, and the honest consequence is that nobody outside Turnitin knows how much that moves a given submission. Anyone quoting you a figure for how ChatGPT text scores in Turnitin is guessing, because they cannot run the model any more than we can.
Claude Turnitin checker
Claude is the case where a high score and careful human writing are hardest to tell apart.
It hedges and qualifies more than the other assistants, producing sentences shaped as a claim, a clause narrowing it, and a clause admitting an exception. That is what good academic prose looks like, which is the problem: the shape is regular, and regularity is what gets measured.
The practical tell is not statistical. Claude output arrives carrying Markdown, so submitted work sometimes contains bolded lead-ins and bulleted breakdowns in a section that was meant to be continuous argument. That does not affect a score and it is noticed immediately by a person.
Gemini Turnitin checker
Gemini interacts with the report's eligibility rules in a way worth understanding.
It structures heavily, returning headings and bullets where prose was asked for. Because the report skips material it does not consider qualifying long-form text, a heavily bulleted submission has less scored against it, and the resulting percentage covers a smaller share of the document than it appears to.
That is not a way of lowering a score. It means a low figure on a fragmented document is telling you less than the same figure on continuous prose, and an instructor reading the report can see which they have.
DeepSeek Turnitin checker
DeepSeek carries the most obvious giveaway of any assistant, and it has nothing to do with a percentage.
Text pasted from a reasoning response often still contains the reasoning: a preamble planning the answer, or a first paragraph discussing how the question should be approached. Submitted work containing a paragraph that thinks out loud about how to write the essay is identifiable without any report at all.
Its prose also runs technical whatever the prompt, and technical registers are uniform by convention. A DeepSeek-drafted essay tends to be regular in exactly the way the measurement responds to.
Grok Turnitin checker
Grok is the least predictable input to any detector, for a reason that cuts both ways.
It writes with more personality than the others, which raises the surprise of individual word choices. What stays regular is placement: an aside every third paragraph, a consistently informal register, jokes at intervals. A pattern in where the personality lands is still a pattern.
The informality is a separate problem for academic submission. Grok text often needs its register raised before it is appropriate for a paper at all, and raising the register makes the prose more uniform, which pushes in the opposite direction from where people hoped.
LLaMA Turnitin checker
There is no single answer here, because LLaMA is weights rather than a product.
What you get depends on the deployment, the system prompt and the quantisation, so two applications running the same model name produce differently shaped prose. Any claim about how LLaMA text scores is a claim about one deployment being generalised to a name that covers dozens.
Smaller local deployments also produce genuine grammar and coherence errors that the hosted assistants do not, which is a more immediate problem for submitted work than any percentage.
What to do when your own writing is flagged as AI.
This happens to people who wrote every word themselves, and it happens most to a predictable group: students writing in English as a second language, students writing to a taught structure, and anyone whose subject demands a formal, regular register. All three produce prose that is statistically unsurprising, and unsurprising is the whole of what is being measured.
Do not argue about the percentage. It is not a quantity of evidence and treating it as one concedes the point. The figure says the text is predictable, and predictable writing has several causes of which generation is one.
Show the process instead. Version history in Google Docs or Word, dated drafts, an outline, handwritten notes, the browser history where you found your sources, the messy intermediate version with the paragraph you cut. Documents that were written have a trail behind them, and documents that were generated do not. That trail is the strongest thing you can bring and it is far more persuasive than a counter-analysis.
Start keeping it before you need it. Writing in a tool with version history costs nothing and means the evidence exists automatically. This is the single most useful habit for anyone submitting work into a system that runs these checks.
Ask how the figure is being used. Turnitin’s own guidance frames the report as the start of a conversation rather than a finding, and university guidance around it consistently advises against relying on the number alone. If it is being treated as proof, that is a departure from how the people who built it say it should be read, and it is reasonable to say so.
Turnitin AI checker questions.
Can I check my Turnitin AI score before I submit?
No, and every site offering to do it is misrepresenting what it has. Turnitin's AI writing model is not licensed to anyone outside Turnitin, so no third-party page can reproduce its score. What such sites run is their own detector with Turnitin's name on the page. This page is not affiliated with Turnitin either, and it is not going to tell you otherwise.
Why can't students see the Turnitin AI report?
Turnitin shows the AI writing indicator and report to instructors only. The stated reasoning is that the figure is meant to start a conversation between an instructor and a student rather than to be treated as a verdict, and putting it in front of students would encourage exactly the iterate-until-it-drops behaviour that would make it meaningless.
How accurate is the Turnitin AI checker?
Turnitin publishes strong figures from its own testing, and independent evaluation is more mixed. The best-documented weakness is the low band: university guidance, including Purdue's, notes a higher false-positive rate where the reported percentage falls between zero and twenty. That is the range regular human prose most often lands in, so a small non-zero figure is weak evidence rather than a small amount of proof.
Is the Turnitin similarity score the same as the AI score?
No, and conflating them causes real trouble. Similarity matches your text against existing documents. AI writing estimates how much of your text was generated. They share a report and measure nothing in common: original work can score high for AI, and copied work can score zero.
Does paraphrasing lower a Turnitin AI score?
It is a documented target rather than a workaround. Turnitin states that its report attempts to identify text that was generated and then processed through a paraphrasing tool or word spinner. Doing it can leave you flagged both as generated and as processed, which is worse than either finding alone.
Do hidden characters or em dashes affect a Turnitin AI score?
No. The AI report reads the words and their predictability. It does not count punctuation, read file metadata, or look for zero-width characters. Those are worth cleaning for their own reasons and none of it moves an AI figure.
My essay was flagged and I wrote it. What should I do?
Ask what the figure is being used as, because it is a statistical signal and not evidence of authorship. What actually demonstrates how a document came to exist is the record of it being written: version history in your word processor, dated drafts, notes, outlines, browser history on your sources. Those are worth keeping as a matter of routine, and they are far more persuasive than arguing about a percentage.
Does it work on languages other than English?
The AI writing report is built around English long-form prose, and coverage of other languages is narrower and less reliable. Detection quality generally tracks how much of a language the underlying model has read, and English is the best-served by a wide margin.
What can I actually check on this page, then?
You can run our own AI check, which marks the exact phrases that read as AI-written and names why each was flagged. That is a useful read on whether a draft looks machine-made, and it is honestly not a Turnitin score. Nothing outside Turnitin is.
Is my text stored?
The document is attached to your account so you can come back to it, and you can delete it whenever you like. It is not used to train anything, and it is not submitted anywhere.