A service by Adeon Global
Check any manuscript for similarity against the live web and for AI-generated writing, in one pass. Every scan produces a dated, shareable report you can attach to an editorial decision.
Each layer answers a different question, and the report keeps them separate so you can see exactly where a score comes from.
Every manuscript we have already seen is fingerprinted and held locally. A resubmission, a recycled chapter or a paper shopped to two of your journals is caught here — instantly, and without touching an external service.
The text is scanned against live web sources. You get an overall similarity percentage, a ranked source list with per-source contribution, and the exact matched passages highlighted in the submitted text.
A separate model estimates how much of the text reads as machine-generated, sentence by sentence, and flags hidden-character tricks — zero-width spaces and homoglyph substitutions — used to defeat detectors.
Similarity at the level normal citation and common phrasing produce. No action needed.
Worth an editor's eye. Usually long quoted passages, a shared methods section, or a boilerplate-heavy introduction.
Substantial overlap with existing sources. The report shows which sources and which passages, so the author can be asked directly.
Bands are configurable per institution — a review's threshold is an editorial policy decision, not a technical one.
Detection is provided by the Winston AI platform; ORIGEN adds the private corpus, the reporting and the workflow around it.
On scanned documents. ORIGEN does not run OCR itself. It reads the text layer of a file, and only when there is none does it hand the document to Winston for its own processing — which needs the upload to be reachable from the internet for the length of the scan. If you routinely submit scans or photographs of pages, tell us and we will confirm what your setup will do with them before you rely on it.
Every manuscript checked is fingerprinted and kept, so a resubmission or a recycled chapter is caught locally — instantly, and without spending a credit.
Leave out quotations, the bibliography, cited sources, short matches or individual sources. The score is recalculated from results already held, so changing your mind costs nothing.
Every matched sequence is highlighted in the original text and numbered to the source it came from — not just a percentage.
Each report has a permanent reference number and a signed link you can send to an author or reviewer without giving them an account.
Manuscripts are held in AN-List's own database, are not listed or indexed, and are never shared outside your institution's account. An uploaded file is deleted as soon as its scan finishes.
Run checks from your dashboard, or have your editorial office run them from the admin console with per-department monthly allowances.
Turnitin is the tool most Indian institutions already know. Here is how the two differ in what they check, what you can do with a result, and who can actually use them.
Built to show evidence, not just a number. Every detector on the market — Turnitin's included — can flag honest writing, and independent research has found this happens most often to students writing in a second language. ORIGEN is designed around that: it shows the matched passages and the sentence-level scores, so an examiner reads the text rather than a percentage, and a student can be asked about something specific. That is a better conversation, and a fairer one.
Comparison prepared August 2026 from Turnitin's own published documentation and guidance, and from independent published research. Turnitin is a trademark of Turnitin, LLC; AN-List and ORIGEN are not affiliated with, endorsed by, or a reseller of Turnitin. If you find anything here out of date or inaccurate, tell us and we will correct it.
The same scan answers a different question depending on where you sit in the process.
Find out where your draft stands before you submit it, while there is still time to fix it.
Protect work you have spent years on from an avoidable desk rejection.
Show that the work is yours, in a form someone else will accept.
Judge a piece of work quickly, on evidence rather than on a number.
Screen submissions at volume without adding a step to your workflow.
One originality service across departments, on the subscription you already hold.
One caution worth stating plainly: no detector is infallible. A similarity score is evidence to be read, and an AI score is an estimate, not a confession. Both are reasons to look at the text — never a substitute for doing so.
Signed-in AN-List accounts get 10 checks a month. Subscriptions add a larger allowance, and institutional plans are unmetered.