Image Plagiarism Detection Software

Reusing published images without attribution is a form of scientific misconduct. Imagetwin helps detect plagiarised figures across journals by scanning 75+ million images.

Cross-Publication Plagiarism Detection

Flags figures that have been reused from other papers, even if they are altered.

Baked by a Large-Scale Scientific Image Database

Scans over 75 million, and growing, published images across disciplines.

Built for Research Integrity Teams

Designed for publishers, editors, and institutions to review image originality before or after publication

Image Plagiarism Detection Tool

Imagetwin detects when figures have been reused from other publications without proper citation. By matching submitted images against a growing library of published figures, the system supports early detection of plagiarism and helps preserve the originality of visual research.

Each match includes detailed source information, tracing duplicate origins through DOI, PubMed, PMC metadata, and research identifiers for complete transparency.

How Imagetwin Detects Image Plagiarism

1. Paper or Image Submission

User uploads entire manuscripts, files or individual images to our secure platform for analysis.

2. AI-Powered Detection

The software compares submitted images against over 75 million published figures using pattern recognition and metadata tracing.

3. Confidence Score & Reporting

Receive a report highlighting detected issues. Each case includes a confidence score, bounding boxes, similarity scores and source citations.

The Risks of Image Plagiarism

Image plagiarism can have serious implications for researchers, institutions, and publishers. Reusing published figures without proper citation or permission is a form of scientific misconduct and might lead to:

Retractions and Corrections

Journals may retract or issue corrections for papers with plagiarised figures, even if the written content is original.

Damage to Reputation

Authors and institutions risk losing credibility, which affects funding, collaborations, and future publishing opportunities.

Institutional Investigations

Cases of suspected image plagiarism trigger formal inquiries by research institutions or ethics committees.

Loss of Trust in the Scientific Record

Reused images without transparency undermine confidence in research findings and the peer review process.

Delays in Publication or Peer Review

Plagiarised figures identified during submission delay the peer review, require revisions, or result in manuscript rejection.

Legal or Licensing Issues

Some figures may be under copyright, making unauthorised reuse a potential legal concern in addition to an ethical one.

Why Choose Imagetwin?

Image plagiarism is a growing concern as publication volumes increase. Imagetwin offers targeted image analysis to detect reuse across journals, preprints, and archives.

Specialised for Published Figure Matching

Trained to identify figures reused across publications, including altered or partial visuals.

Built for Speed & Accuracy

Our detection process is designed to be efficient, helping journals, publishers, and institutions identify concerns early in the publication process.

Confidential & Secure

We prioritize data encryption and privacy, ensuring your files remain confidential.

Powerful Cross-Paper Detection

Scans against a database of over 75 million, and growing, scientific figures with continuous updates.

Part of a Complete Integrity Suite

Imagetwin also offers AI-generated image detection, image manipulation analysis, and duplication checks, providing a full toolkit for visual integrity review.

Supports Editorial and Peer Review

Used by publishers and research integrity teams to evaluate originality before publication.