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PubMed Source Image Plagiarism Detection

Detect reused manuscript visuals across the industry’s largest image-plagiarism database, with more than 155 million PubMed Open Source Database images

Why Image Plagiarism Matters

Plagiarism—whether deliberate or accidental (e.g., self-plagiarism)—undermines the originality of scientific work and can have serious consequences. Even a single reused image can result in editorial rejection, formal retraction, reputational damage, or loss of funding. And because every co-author is held accountable, the harm extends well beyond the individual who reused the image.

Rejection or Retraction

Journals may reject at submission or retract after publication.

Reputational Damage

Affects all authors, institutions, and journals connected to the work.

Loss of Trust in Science

Can trigger academic or professional penalties.

Erosion of Trust

Weakens confidence in scientific literature.

Plagiarism Types We Detect

Proofig AI compares manuscript visuals against more than 155 million PubMed Open Source Database images, the industry’s largest image-plagiarism database.

Direct Reuse

Identifies copied manuscript visuals from published papers, including images, graphs, charts, diagrams, and plots.

Modified Reuse

Detects cropped, resized, or otherwise altered images reused from prior publications.

Self-Plagiarism

Flags reuse of your own prior images.

Cross-Paper Overlaps

Finds partial image matches across different PubMed articles.

How  It  Works

Upload Your Manuscript Drag and drop your PDF or DOCX file—no formatting changes needed.

Step 1
Step 2

AI-Powered Analysis The system scans all manuscript images and cross-checks them against PubMed’s open-access database.

Review and Validate Inspect flagged matches with links to the original PubMed article for context and verification.

Step 3
Step 4

Download a Final ReportReceive a detailed PDF report to confirm originality before submission.

Trusted by Leading Institutions and Publishers

Largest Image-Plagiarism Database

Access to more than 155 million PubMed Open Source Database images for comprehensive image-plagiarism checks.

Global
Trust

Already integrated into publisher and institutional workflows.

Seamless Integration

Used by researchers to prevent unintentional reuse before submission.

Integrity Support

Adopted by journals and ethics committees to support editorial screening.

Proofig helped us catch issues we would’ve missed entirely.

Editorial Team
High-Impact Journal

Ready to Protect the Originality of Your Work?

Image plagiarism detection: frequently asked questions

Proofig AI checks your figures against the industry’s largest image-plagiarism database, with more than 155 million PubMed Open Source Database images. Proofig AI finds direct copies, modified copies and partial matches across different PubMed articles, including reuse of your own earlier published images. Each match links to the original PubMed article, so you can review the context before deciding what it means.

Proofig AI does both: it checks every image within your manuscript for duplication and reuse, and matches each one against published literature. The external check searches the industry’s largest image-plagiarism database, with more than 155 million PubMed Open Source Database images, and links each match to its source article. Proofig AI supports paper-mill and cross-journal detection, and serves individual researchers, publishers, institutions and ethics committees.

Yes, Proofig AI detects modified reuse, where a published image was cropped, resized or otherwise altered before appearing in a new manuscript. Proofig AI also finds partial matches, where part of an image overlaps a figure in a different PubMed article, across more than 155 million PubMed Open Source Database images. Each match is flagged with a link to the original article, so you can judge whether the reuse was permitted and credited.

Yes, Proofig AI checks graphs, charts, diagrams and plots for plagiarism, as well as microscopy and other scientific images. Proofig AI finds direct copies and modified versions of visuals published in open-access PubMed articles, across more than 155 million PubMed Open Source Database images. Inside each manuscript, graph, chart and plot duplication screening also makes Proofig AI relevant to computer science, data science, engineering and economics. Every finding is flagged for your review before it reaches a report.

Proofig AI’s image plagiarism check covers open-access images from the PubMed Open Source Database, so images in paywalled articles sit outside that comparison. Copyright and licensing determine which images can be included, and the open-access collection still runs to more than 155 million images. To screen against your own paywalled, confidential or unpublished material, use My Database, a private repository on the Enterprise plan.

Journals generally hold the whole author team accountable, and honest errors or a collaborator’s mistake still carry consequences for the principal investigator. Proofig AI’s Co-Founder and CEO, Dr. Dror Kolodkin-Gal, built the platform after seeing colleagues at Harvard Medical School investigated for image problems they had not caused. Running Proofig AI’s image plagiarism check before submission lets the author team find and fix reused visuals while they are still easy to correct.

No, a text plagiarism check compares wording, not image content, so a reused micrograph, blot or chart can pass it unnoticed. Proofig AI analyzes the images themselves against the industry’s largest image-plagiarism database, with more than 155 million PubMed Open Source Database images, and catches cropped, resized and partial reuse. Run both checks before submission: one for the words, one for the figures.

Further Resources