Turnitin comparison
Turnitin's report is not for you.
It goes to your institution, and by the time an AI indicator sits next to your name someone else has already read it. This runs on your own text, in your own hands, in about three seconds — and it names which sentences and which model rather than handing over a single number.
No account. Nothing is stored.
AI Probability
58%
Paragraph analysis
4 paragraphs · 253 charsClimate policy requires urgent structural changes at the governmental level.
Policymakers must implement evidence-based carbon taxation.
I watched the glacier near my hometown retreat for thirty years.
By eighteen, the viewpoint was just muddy hillside.
Two different jobs, and only one of them is yours to run
Turnitin was built in 1998 to find copied text, and it is good at that. AI detection arrived as a later addition to a product licensed to institutions. That licensing is the part that affects you directly: the reading is produced for your school, on its terms.
- Who the report is for
- You
- Sentence-level reading
- Every
- Published false positives
- 2.1%
- Text retained
- None
Run it on your own text, before anyone else sees it.
Not one score for the whole document.
From a blind 500-document run, half AI and half human.
No account, no document library, nothing to delete later.
If an AI indicator has been raised against your work
An indicator is a statistical reading, not a finding. What turns it into a conversation rather than an accusation is evidence you brought yourself.
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01
Run the same text through a detector you control
Keep the sentence-level reading. It shows which lines were questioned and which were cleared, which is far more discussable than a single percentage.
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02
Bring how the text was written
Version history, notes, an earlier messier draft, timestamps. Detectors read the finished text; your process is the part no detector can see.
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03
Ask what the tool's false positive rate is
Every detector has one. Asking for it is reasonable, and the answer sets how much weight a single indicator should carry.
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04
Check before you submit next time
Thirty seconds beforehand beats any appeal afterwards, and it costs nothing to do.
Where the two tools actually differ
Not a scoreboard. These are structural differences between a plagiarism product licensed to institutions and a detector you can run yourself.
| Measure | TheChecker.AI | Turnitin |
|---|---|---|
| Built for | AI detection | Similarity and plagiarism |
| AI detection added | From the start | Later, as a feature |
| Who can run it | Anyone, no account | Licensed to institutions |
| Names the model | Yes, 40+ covered | No |
| Sentence-level AI reading | Every sentence | Limited |
| Published false positive rate | 2.1% | Not published |
| Your text is retained | Never | Depends on institution settings |
| Setup | None | Institutional, via your school |
| Price | $9.90/mo, no contract | Institutional licence |
Our figures come from a blind 500-document run described on our accuracy page. Rows about Turnitin describe how the product is licensed and configured rather than making any claim about its detection quality.
Questions worth asking
Generally not on your own. Turnitin is licensed to institutions, and access runs through your school's systems and its configuration. If your institution has not enabled a self-check option, the first reading you see is usually the one attached to a submission that has already been made.
Run the same text through a detector you control, keep the sentence-level reading, and bring it together with your drafts and version history. An AI indicator is a statistical reading of the text, not a finding of misconduct, and it is reasonable to ask what the tool's false positive rate is.
No, and it is not trying to be. Turnitin is a similarity and plagiarism product with AI detection added later; this is a detector built for one question. If your institution uses Turnitin, it will keep using Turnitin. This is the reading you can run yourself, on your own text, before or after.
Nothing is kept. Text is analysed in real time, is not retained on our servers, is never used for training and is never shared. There is no account and no document library.
A reading for every sentence, the name of the model that most likely produced the flagged parts, and a published false positive rate — 2.1% on a blind 500-document set. A single percentage with no sentence detail is very hard to discuss with anyone.
The demo is free and needs no account. Unlimited checks are $9.90 a month or $99 a year, with no contract and no institutional licence.
Read it yourself first.
Paste your text, get a sentence-level reading you can keep, and decide what to do with it. No account, nothing stored.
Free demo · $9.90/mo or $99/yr for unlimited · cancel any time