Document originality & scoring
Know what’s original before you don’t.
Plagion s any document and returns two numbers that matter: a similarity score against web and academic sources, and a paraphrase score that catches reworded and AI-spun text.
The rise of distributed systems has reshaped how
engineering teams reason about failure modes and
recovery, shifting focus from prevention alone
toward graceful degradation under load.
This shift is most visible in how teams design
for partial outages rather than treating every
component as equally critical to uptime.
Similarity score
Paraphrase score
See it in action
The same paragraph, before and after a scan
A direct copy is easy to catch. A reworded paragraph that keeps the same claims and structure isn’t — until the paraphrase score flags it too.
Original source
The committee reviewed the proposal and found
the methodology sound, though data collection
timelines were considered optimistic given the
scope of the fieldwork involved.
Submitted document
flaggedThe committee reviewed the proposal and found
the approach solid, although the timeline for
gathering data seemed a bit ambitious relative
to how much fieldwork the scope required.
Trusted by universities, publishers, and editorial teams
How it works
Four stages. One originality report.
Upload
Any format, no cleanup.
Drop in PDFs, Word docs, or plain text — individually or in a batch. Plagion extracts and normalizes the text automatically.
Scan
Every sentence fingerprinted.
Text is broken into overlapping fragments and fingerprinted for comparison, so partial matches and rearranged passages don't slip through.
Compare
Checked against real sources.
Fragments are matched against billions of web pages, journals, and a database of previously submitted work — updated continuously.
Report
Two scores, one clear report.
Get a similarity score for direct matches and a paraphrase score for reworded text, with every flagged passage linked to its source.
Works where you already do
Connects to the tools you already teach and publish in
2.1B
documents scanned
80,000+
reports generated monthly
99.97%
scanning uptime
9s
median time to first score
From the field
Institutions running Plagion
We switched from spot-checking submissions to scanning every one. The paraphrase score catches AI-reworded essays that a similarity check alone would have passed.
Dana Whitfield
Director of Academic Integrity, Aldergate University
Turnaround used to be the bottleneck before publication. Now every manuscript gets a report back in under a minute, with sources linked inline.
Marcus Oduya
Managing Editor, Fenwick Press
Batch scanning a full class set used to take an afternoon. Now it's one upload, and flagged passages are ready to review by the time office hours start.
Renata Silva
Associate Dean, Marlowe College
Questions
Frequently asked
What's the difference between the similarity score and the paraphrase score?+
The similarity score measures direct or near-direct text matches against web and academic sources. The paraphrase score separately flags text that appears reworded or AI-spun to evade a standard similarity check.
How long does a scan take?+
Most documents return a full report in under a minute. Batch scans of a full class set or manuscript queue typically finish within a few minutes.
What sources are documents compared against?+
Web pages, academic journals and repositories, and a continuously updated database of previously submitted work, so resubmitted or shared essays are also caught.
Can we integrate Plagion with our LMS?+
Yes. Plagion connects to Canvas, Moodle, Blackboard, Google Classroom, and others, or you can call the API directly from your own submission pipeline.
Is student or author data kept private?+
Documents are used only to generate your report and are not shared with other institutions. Retention settings and deletion controls are available on Scale and Enterprise plans.
Get started
Stop wondering what a similarity check missed.
Talk to our team about what scanning could look like for your institution or publication, no commitment required.