Author Verification
5 checksConfirms identities, affiliations, and publication histories
Figures, tables, statistics, and references checked, with the evidence behind every flag. For R&D, research-integrity, and publishing teams.
For publishers
Each check compares your work with reference data we collect and maintain.
Used to find the same image in other papers and on the open web.
Used by Figure Integrity
Finds table data that also appears in other papers.
Used by Table Duplication
Finds review text shared with earlier peer reviews.
Used by Review Quality
Confirms that each reference exists and matches what is cited.
Used by Reference Validation
Bibliometric, editorial-board, author, and institution data behind each journal's risk score.
Used by Journal Monitor
Offers to buy a place on a paper, taken from paper-mill ads and matched against the literature.
Used by Paper Mill Ad Watch
From author identity to peer-review quality, each flag is traced to its source and explained.
Confirms identities, affiliations, and publication histories
Duplicated, altered, or AI-generated images within a paper, with cross-paper matching available
Per-panel integrity and accessibility
Recomputes reported test statistics and p-values for consistency
Hallucinated references, out-of-context citations, retraction status, and broken links
Claims in the text that lack adequate citation support
AI-generated text, at the paragraph level
Text that overlaps with other sources, traced to the source
Estimates the probability a study's results would replicate
A structured, journal-quality review in minutes
Checks against journal-specific submission requirements
Depth of peer reviews, AI-written text, and review-mill patterns
The same checks, at four points in R&D work.
Before submission
Before a deal
When results arrive
When you need experts
Figure 3 · 6 panels
Web presenceFindings
ReviewerZero finds duplicated and altered image regions within a paper and shows exactly which regions match. Matching against the published literature and the open web is available too.
Detects duplicated regions within a figure, including rotated, scaled, flipped, or skewed copies.
Forensic filters (levels, thresholds, edge detection) reveal hidden changes in blots and microscopy.
Flags panels whose C2PA content credentials mark them as AI-generated.
Reverse-image search finds figures that already appear elsewhere on the web or in earlier papers.
Fifteen checks on every reference: whether it exists, whether it is relevant to the paper, and whether it has been retracted. Hallucinated references, a common error in AI-assisted drafts, are flagged with the in-text context.
Flags references that can't be found or don't match a published record.
Flags references that appear irrelevant to the manuscript's topic, methods, or claims.
Flags references to retracted work.
Checks that every cited link resolves and is accessible.
Showing 58 of 58 references
ReviewerZero recomputes reported tests from the numbers in the paper, shows the math, and flags results that don't match.

8 journals monitored
Journal Monitor scores integrity risk for each journal, so editorial teams can focus on the titles that need attention and R&D teams can vet the journals they publish in and cite. The feature is in early access.
A summary and prioritized issues, written for editors, reviewers, and internal review teams.
What happens to your manuscripts, figures, and data after you upload them.
Security and data protectionYour content is not used to train AI models, by us or by the service providers we use to process it.
Uploads in the app are deleted 7 days after upload unless you turn deletion off. Organization admins can require it for every analysis.
TLS 1.2 or higher in transit and AES‑256 at rest.
Reports stay in your workspace until you share them with your team, specific people, or a link.
Checks that search the web or scholarly databases can be turned off for any analysis, or for a whole organization.
From publication-ethics and editorial teams.
“Manual verification of statistical findings is time-consuming. ReviewerZero's statistics tool is flexible, saving time and explaining its output in an easily digestible manner for research-integrity teams and editors.”
“We are thrilled to partner with ReviewerZero AI. ReviewerZero provides key insights on image integrity, statistical accuracy and citation analysis, aligning with our values of openness and transparency.”

“ReviewerZero helped us catch problems we would otherwise have missed, in papers that ultimately went on to be rejected. Our editorial offices particularly value the reference checks, which surface hallucinated references and citations that do not support the statements they are attached to. It helps keep our publishers' portfolios clean, and that is exactly what they want.”

In a 30-minute demo, we run a few of your manuscripts and walk you through every flag. Papers you have already published work too.
For publishers