How to Check Your Turnitin AI Score Before Submitting

Can You Actually Check Your Turnitin AI Score Before Submitting?

No — not through Turnitin itself. The AI Writing Indicator is built into Feedback Studio, the instructor-facing report viewer that only generates a result once a paper is formally submitted through an LMS assignment. There is no self-service version of it, no student login that runs the same model on demand, and no way to upload a draft to Turnitin.com and get an AI percentage back before the deadline. This surprises a lot of students because Turnitin's similarity checker feels self-service in some contexts — Draft Coach lets you run a plagiarism check whenever you want. AI detection was never built the same way. Turnitin has kept AI Writing Indicator access limited to the formal submission pipeline since it launched in 2023, and there is no indication that a student-facing preview version is coming. If you want a number before you submit, it has to come from a different tool entirely, run outside Turnitin's ecosystem.

There is no pre-submission version of Turnitin's AI Writing Indicator — it only produces a result after a paper goes through a formal assignment submission.

Does Draft Coach Show an AI Score Before You Submit?

No, and this is the single most common point of confusion for students trying to figure out how to check Turnitin AI score before submitting. Draft Coach is the Google Docs add-on that lets students run similarity and citation checks on their own schedule, and because it carries the Turnitin name, students often assume it covers AI detection too. It does not. Draft Coach's feature set is limited to two things: a similarity check against Turnitin's database and academic sources, and a citation formatting check. There is no AI percentage anywhere in the Draft Coach interface, no highlighted sentences, no badge — the feature simply is not part of the product. Running Draft Coach a dozen times on the same draft will never produce an AI score, regardless of how the paper is written. If your course uses Draft Coach and you have been waiting for an AI reading to show up, stop waiting — check your LMS assignment settings or a separate detection tool instead.

1. Draft Coach reports a similarity percentage against Turnitin's database — not an AI score.
2. Draft Coach's citation check flags formatting and missing references — also unrelated to AI detection.
3. A clean or low Draft Coach similarity result says nothing about how your writing will score on Turnitin's AI Writing Indicator.
4. AI detection runs separately, inside Feedback Studio, only after formal submission — Draft Coach and the AI Writing Indicator do not share any data.

What About the LMS — Does Canvas or Blackboard Show a Preview?

Canvas, Blackboard, Moodle, and other LMS platforms integrate with Turnitin at the assignment level, but none of them add a pre-submission AI preview that Turnitin itself does not offer. Whatever Turnitin can or cannot show you, the LMS wrapper around it behaves the same way — the AI Writing Indicator activates only when the instructor has turned it on for that specific assignment, and it evaluates the document only once it has actually been submitted through the assignment portal. Some students check their course's assignment description hoping to find a practice-submission option; this does not exist for AI detection the way it sometimes does for similarity checks in certain Canvas configurations. If your LMS assignment page shows any AI-related settings before the deadline, they are describing whether AI detection will run and whether results will be shared with you afterward — not offering you an early look.

1. Check your assignment description or syllabus for language about AI detection being enabled — this tells you if a score will exist, not what it will be.
2. Do not confuse a similarity-check draft submission option (where available) with an AI-check option — these are different Turnitin features with different availability.
3. If your LMS shows a grayed-out or locked AI badge before the deadline, that is expected — the report only unlocks after submission and grading in most configurations.
4. Ask your instructor directly if you are unsure whether AI detection is enabled for a specific assignment; the syllabus does not always specify this clearly.

So What Can You Actually Do Before Submitting?

Since Turnitin will not give you a preview, the practical answer to how to check Turnitin AI score before submitting is to run your draft through an independent AI detection tool that uses a comparable methodology. This will not reproduce Turnitin's exact number — different detectors are trained on different data and calibrated differently — but it gives you the same kind of signal: which sentences read as statistically predictable and uniform, the two properties that drive most AI detection scores regardless of which tool produces them. NotGPT's AI Text Detection tool works this way. You paste your draft in, and it returns a sentence-level breakdown with highlighted passages ranked by AI-likeness, similar in format to what Turnitin shows in Feedback Studio. This is useful for exactly the writing situations most likely to produce a high AI score for reasons that have nothing to do with actually using AI: heavily edited final drafts, formal academic register, technical or lab-report writing, and English-as-a-second-language prose that tends to read as more uniform than casual native writing. Seeing which specific sentences flag gives you something concrete to act on, rather than guessing at your overall risk.

1. Finish your draft as you normally would, including any editing or grammar-tool passes.
2. Paste the full text into an independent AI detection tool rather than checking small excerpts, since sentence-level results depend on surrounding context.
3. Review which specific sentences are flagged rather than fixating on the single overall percentage.
4. For sentences that consistently flag, revise manually or use a humanizing tool to reintroduce natural sentence-length variation.
5. Re-run the check on your revised draft to confirm the flagged sentences read differently before you submit.

A pre-submission check will not match Turnitin's number exactly, but it will show you which sentences are statistically smooth enough to draw attention — and that is the part you can actually act on.

Is Checking Your Own Score Before Submitting Considered Cheating?

Running an AI check on your own writing before you submit is not the same thing as trying to evade detection, and most academic integrity frameworks do not treat it that way. The distinction that matters is what you do with the result. Using a pre-submission check to confirm that text you wrote yourself does not read as unnaturally uniform, or to catch a passage that got flattened by heavy editing, is closer to proofreading than to gaming a system. Using the same check to iteratively rewrite AI-generated text until it stops triggering flags — without changing the fact that the ideas and structure came from an AI tool — is a different activity, and it runs against the purpose the check was meant to serve in the first place. If your institution's academic integrity policy explicitly bans the use of any AI-adjacent tool during the writing process, that policy applies regardless of intent, so it is worth reading your syllabus before assuming a self-check is automatically fine. For most students, the honest use case is straightforward: you wrote the paper, you want to know if your writing style happens to trip statistical flags, and you would rather find that out with time to prepare an explanation than discover it after your instructor already has.

The line is not whether you checked your score — it is whether the writing being checked is actually yours.

What Should You Do If a Turnitin AI Score Shows Up After Submission?

If you already submitted and a Turnitin AI score has come back — whether you can see it directly or your instructor has told you about it — the response is the same whether or not you checked anything beforehand. Start by gathering evidence of your actual writing process rather than reacting to the number itself. Version history from Google Docs or Word, research notes, downloaded source PDFs, and any record of when you started and finished the draft all establish a timeline that a percentage alone cannot show. If you have access to the full report, look at which specific sentences were highlighted rather than only the overall score — formal transitions, technical terminology, and heavily revised passages are common sources of false flags, and identifying the pattern in your own flagged sentences gives you something specific to point to. If you used Grammarly or a similar editing tool, note that explicitly, since editing tools are a documented cause of elevated AI scores independent of how the text was originally written. From there, request a conversation with your instructor rather than waiting for a formal process to begin — most flagged scores get resolved at this stage once the writing process is explained, and a calm, evidence-backed conversation tends to go better than one that starts only after an official inquiry has opened.

1. Pull your document's version history immediately, before doing anything else — Google Docs and Word both timestamp draft history automatically.
2. Gather your source materials: downloaded PDFs, browser history, library search records, and any notes you took while researching.
3. If you can see the AI report, review which sentences were flagged and look for a pattern — formal phrasing, technical vocabulary, or heavily edited passages are common causes.
4. Note any editing tools you used, such as Grammarly, since these are a documented source of inflated AI scores unrelated to actual AI use.
5. Request a direct conversation with your instructor and lead with your writing process, not a defense of the number itself.
6. If a formal academic integrity review begins, check your institution's published policy for what evidence is accepted and what score ranges trigger different levels of response.

The score is what starts the conversation — your draft history and research notes are what actually resolve it.