Protect image integritywith expert-reviewed screening

FigScan delivers AI-powered image integrity detection for duplication, manipulation, and plagiarism in research papers.

AI-only tools generate alerts
FigScan delivers reviewable findings
Scientific manuscript screening overview

Trusted by publishers and research institutions

Why review teams choose FigScan

01

Expert-reviewed findings

Flagged cases become evidence that editorial and institutional teams can review and act on.

02

Figure + panel screening

One workflow covers duplicated panels, transformed reuse, and figure-level irregularities.

03

Decision-ready reporting

Structured outputs reduce noisy alerts and support documented review decisions.

Core integrity checks across the review workflow

Detect image manipulation within a single figure

Identify cloning, splicing, deletion, and suspicious local alterations before review.

  • Built for microscopy, blot-style figures, and image-heavy manuscripts
  • Highlights the specific region that requires review
Manipulation detection example

Identify duplication and transformed reuse across a manuscript

Compare figures and pages to surface duplicated panels, including transformed reuse.

  • Links figure-level and panel-level evidence in one review view
  • Reduces time spent on manual side-by-side inspection
Duplication and reuse detection example

Screen submissions against published scientific literature

Compare submitted figures with a broader scientific image index.

  • Extends screening beyond the submitted manuscript
  • Strengthens publisher and institutional review workflows
Published image screening example

From upload to documented findings

  1. 01

    Upload

    PDF or figure package.

  2. 02

    Screen

    Duplication and manipulation checks.

  3. 03

    Review

    Evidence is triaged and validated.

  4. 04

    Report

    Outputs are ready for follow-up.

FigScan review report preview

Reporting for editorial and compliance decisions

Sample report output

What the report includes

  • Flag summary with figure-level navigation
  • Side-by-side evidence panels
  • Similarity and category labels
  • Reviewer notes for follow-up
  • Readable output for editorial and compliance teams
  • No dependence on oversized media assets

One screening platform for three review environments

Researchers

Review figures before submission and keep a documented record for co-author review and submission readiness.

Institutions

Support research integrity oversight and secure internal review with clearer documented evidence.

Publishers

Give editorial teams a more consistent pre-publication screening workflow with decision-ready reporting.

Frequently asked questions

What does FigScan screen for?

FigScan screens for image duplication, transformed reuse, suspicious local manipulation, and panel-level similarity in scientific figures and manuscripts.

Who is FigScan designed for?

The platform is built for researchers, research integrity offices, institutions, and publishers that need reviewable evidence rather than a black-box alert stream.

Does FigScan support screening against published literature?

Yes. FigScan can support comparison against a broader scientific image index in addition to within-manuscript screening.

Are the reports suitable for formal review workflows?

Yes. Reports are structured for editorial decision-making, compliance documentation, and institutional follow-up.