Direct answer
Grammarly's AI detector and Turnitin's AI writing detection are different tools that produce different results, so a "human" verdict in Grammarly does not guarantee a low Turnitin AI score when your Indonesian university runs your draft through its LMS [1]. Grammarly flags AI-generated sentences using its own proprietary model and presents a percentage of flagged text, while Turnitin reports a separate overall percentage plus sentence-level highlighting based on its own detection model and confidence threshold [2]. Because the two systems were trained differently and apply different thresholds, scores are not interchangeable, and many students in Indonesia discover a mismatch only after submission [3].
Does Grammarly's AI Detector Give the Same Result as Turnitin?
No — Grammarly's AI detector is a writing-assistant feature, not an institutional integrity tool, and it is built to help you revise your own prose rather than to replicate what your lecturer sees [1]. Grammarly evaluates text sentence by sentence inside its editor and returns a share of text it considers AI-generated, which is a useful editing signal but not a validated academic judgement [1]. Turnitin, by contrast, produces a formal AI writing report that an instructor opens inside the institutional account, with an overall percentage and colour-coded sentence highlighting [2]. The two outputs look similar on the surface, which is exactly why students assume they are measuring the same thing.
The underlying models are the key difference. Turnitin's detection is designed for long-form academic prose and only evaluates qualifying segments of roughly 300 words or more, excluding reference lists and quoted material from the calculation [2]. Grammarly's detector is optimised for shorter passages inside a grammar-checking workflow and responds to different stylistic cues [1]. A paragraph that Grammarly scores as clearly human can still be flagged by Turnitin because the models weight sentence rhythm, lexical predictability, and structural regularity differently [2].
There is also a reporting-convention gap that confuses students most. Turnitin displays an asterisk — *% — instead of an exact percentage when the AI score falls below its 20% confidence threshold, meaning the signal is weak rather than absent [2]. Students who only ever see Grammarly's clean percentage never learn that their institutional report may show either a low-confidence asterisk or a materially higher figure [1][2]. Treat Grammarly as a drafting aid and Turnitin as the benchmark your university actually applies.
Why Does Grammarly Show a Different AI Score Than My University's Turnitin Check?
Different detectors are not calibrated against each other, so a score is only meaningful relative to the tool that produced it [3]. Turnitin's own guidance makes clear that AI writing detection depends on the model version, the confidence threshold in force, and the length and type of text submitted, all of which shift the number you see [3]. Grammarly applies its own threshold and its own training corpus, so the same essay can land at 4% in one interface and 38% in the other without either tool malfunctioning [1][3].
Access is the second reason the comparison feels unfair. Turnitin's AI writing detection is delivered to instructors through institutional accounts, which means students cannot run the same report on their own draft from inside the university system [3]. That asymmetry pushes students towards consumer tools such as Grammarly, which were never designed to predict an institutional outcome [1][3]. When the only number you can see comes from a different engine, the mismatch is structural rather than a sign that something went wrong.
Language and discipline context matter too. Indonesian students often write in English as a second language, and detectors read non-native phrasing, formulaic academic connectors, and heavily templated introductions as statistically predictable — the same signals they associate with machine text [2][3]. Turnitin's report is explicitly framed as a signal for instructors to interpret alongside context, not as proof of misconduct [3]. That framing is why a single Grammarly verdict should never be treated as your final answer before submission.
How Can Students in Indonesia Preview Their Real Turnitin AI Score Before Submitting?
The only way to see the number your lecturer will see is to run your draft through the same detection engine before the deadline [4]. Turnitin's AI writing report combines an overall percentage with a highlighted draft view and a disclaimer that low-percentage results are inconclusive rather than exculpatory [4]. Because the report is generated from the same detection model used institutionally, a preview on that engine removes the guesswork that Grammarly introduces [1][4]. Students who check early can revise flagged passages while there is still time, instead of disputing a result after it has been recorded.
Reading the report correctly is as important as obtaining it. An asterisk or a low percentage indicates low-confidence signals, not confirmed AI authorship, and instructors are advised to weigh the report alongside the assignment context and a conversation with the student [4]. That means your goal is not simply "zero" but a defensible, well-documented draft where any flagged spans can be explained and revised [2][4]. Keeping your outlines, notes, and version history is the practical way to support that position if a query arises.
For students in Indonesia, the practical workflow is straightforward: finish the draft, run it through a Turnitin-equivalent AI and similarity check, read the sentence-level highlighting, and revise the flagged spans before the official submission window closes [4]. Doing this once is far cheaper than discovering a mismatch after your lecturer has already opened the report [3][4]. The check takes minutes, and it replaces the false comfort of a Grammarly score with the actual figure your institution will use.
If you would rather see the real report than guess from a writing assistant's percentage, turnitin0 gives you the same AI and similarity reports your lecturer opens — delivered in under 15 minutes in 98% of cases, non-repository, and with 100,000+ reports already delivered to students worldwide.
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FAQ
Is Grammarly's AI detector the same as Turnitin's?
No. They use different models, training data, and confidence thresholds, so their percentages are not comparable [1][3]. Grammarly is an editing aid, whereas Turnitin produces the institutional report your lecturer opens [2].
Can I check my own work with Turnitin directly?
Turnitin's AI writing detection is delivered through institutional instructor accounts, so students cannot generate the official report themselves [3]. A pre-submission check on the same detection engine is the closest equivalent [4].
What does an asterisk (*%) mean on a Turnitin AI report?
It means the AI score sits below Turnitin's 20% confidence threshold, so the signal is low-confidence rather than a precise figure [2]. It should be read as a weak indicator, not as proof either way [4].
Does writing in English as a second language raise my AI score?
Formulaic academic phrasing and predictable connectors can read as machine-like to detectors, which is why non-native drafts sometimes score higher than expected [2][3]. Sentence-level highlighting helps you find and revise those spans before submission [4].
How do I lower a flagged AI score before submitting?
Revise the highlighted passages in your own voice, keep your notes and drafts, and re-check the revised version on the same engine [4]. If you drafted with ChatGPT, Claude, or Gemini, rewriting flagged sections while preserving meaning and citations is the most direct route [2].