New: Original View reports — findings directly on the original document See what's new
Research & publication

Check the manuscript before the journal does

iOriginally screens papers, theses and grant drafts against the web, open-access scholarship and your own earlier work — so text recycling, missed citations and formatting tricks surface in your office, not in peer review.

Manuscripts never used to train modelsCertificates with public verificationCredit packs never expire
Researcher working with books in a library archive
Pre-submission checks

From draft to submission-ready in three steps

The same check a journal or examination committee would run — done early enough to fix what it finds, on the exact document you intend to submit.

1

Upload the draft

One manuscript, or a Quick Submit batch for the whole group. Papers, theses and grant drafts all follow the same pipeline, with live status while checks run.

2

Read it the way reviewers would

Original View annotates findings on your actual document layout. Live filters exclude quotes, bibliography, small matches — or any single source — and recompute the score as you work.

3

Attach the certificate

A QR-secured integrity certificate with a public verification page joins the submission package, so editors and committees can confirm the check without contacting you.

Built for research

The integrity questions scholarship actually faces

Research writing overlaps with itself, cites densely and builds on published work by design. The report has to understand that — and leave the judgment to you.

Self-plagiarism & text recycling, made visible

Reusing your own methods section is common; reusing your own results section can sink a submission. iOriginally shows you exactly which passages overlap with earlier work, so you can decide what to rewrite, cite or disclose before an editor asks.

  • Your own back catalogue: new drafts are matched against your institution's repository of earlier papers and theses, not just the open web.
  • Paraphrase-aware matching catches reworded recycling — semantically similar passages, not just copied strings.
  • Per-source exclusion: exclude your own preprint and recompute the score to see what overlap remains with everything else.
How similarity detection works
Senior professor working on a laptop in a lecture theatre
Presenter speaking at a lectern in a seminar room

Matching that reaches into scholarship

A research manuscript needs more than a web check. iOriginally matches against open-access scholarly sources alongside the web and your institutional repository, and consolidates findings by host so one journal site doesn't read as twenty sources.

  • Open-access scholarly matching across published papers, preprints and theses available through open APIs.
  • Anti-masking detection: homoglyph swaps and invisible characters are detected and flagged, not silently missed.
  • AI-writing analysis, shown separately — sentence-level probabilities with a policy note on every screen and PDF.
See the report up close

Workflows for journals, labs and research offices

Submission load is seasonal — heavy around deadlines and defence windows, quiet in between. Prepaid credit packs match that rhythm: buy capacity when you need it, and it waits for you when you don't.

  • Quick Submit in bulk: screen a review batch or a lab's output in one upload, with CSV export for your records.
  • Credit packs of 5,000 checks that never expire — and failed checks are never billed.
  • Departments and roles keep editorial staff, supervisors and research-office reviewers in their own lanes, with an audit log throughout.
See credit pack pricing
Research group collaborating around a table with a tablet and laptop
Submission packages

Proof that travels with the manuscript

Many journals, funders and doctoral committees now ask for evidence of an originality check. iOriginally issues it as a document built to be verified, not just filed.

  • QR-secured certificate summarising the check — generated for every completed report, ready to attach to the submission package.
  • Public verification page: anyone scanning the code sees an authentic summary — no login, no document content exposed.
  • Exact-layout PDF report behind it, matching the in-browser view one-to-one if a committee wants the detail.
On judgment: similarity and AI-writing signals are aids for human judgment, not proof of misconduct. The certificate records what was checked and what was found — the reading belongs to authors, editors and committees.
Integrity certificate
verify · sample-code
Documentmanuscript-final.docx
Similarity (filtered)Reported per check
AI-writing analysisShown separately
VerificationPublic page + QR
Confidentiality

Unpublished work stays unpublished

A pre-submission check should never become a disclosure. Your manuscripts are processed for one purpose — your report — and for nothing else.

Never shared, never trained on

Manuscripts are never shared with other institutions and never used to train models. Unpublished work stays unpublished.

Self-host inside your network

Deploy iOriginally fully on your own servers at the same license price. Embargoed drafts and sensitive data never leave your infrastructure.

Retention you control

GDPR-ready, with retention, export and deletion under your institution's control — and an audit log of who accessed which report, when.

GDPR-readyNo model training on your workSelf-host optionInstitution-controlled retention

Screen your next submission before reviewers do

Start a free 14-day evaluation with 50 checks — run a real manuscript or thesis batch through the full report and certificate flow before you commit.