Image Duplication Detection
Automatically catch repeated or reused images and visuals to protect your manuscript’s credibility.
Why Duplication Matters
Roughly one out of every three manuscripts contains image integrity issues – many involve duplicated or reused images. These duplications distort findings, undermine trust and mislead reviewers and readers.
Data Misinterpretation
Duplicate images can distort findings and affect credibility.
Rejection or Retraction
May lead to editorial rejection before publication, or a formal retraction afterward.
Reputational Damage
Harms the credibility of authors, institutions, and journals alike.
Loss of Trust in Science
Erodes reader confidence and affects downstream research.
Comprehensive Detection Types
Proofig AI detects duplicated and reused manuscript visuals across scientific images, graphs, charts, diagrams, and plots. The system identifies reuse even when visuals have been resized, rotated, flipped, cropped, or partially overlapped.
Scaling
Resized image presented as distinct data.
Rotation
Turned image to disguise repetition.
Flipping
Mirror image used to appear unique.
Partial Overlap
Cropped or shared region reused between images.
Graphs
Detection of graphs, charts, diagrams, and plots.
How It Works
Upload Your Manuscript Drag and drop your PDF or DOCX file—no formatting changes needed.
AI-Powered Analysis The system scans all images for potential issues—including duplication.
Review and Validate Check flagged items, investigate further, and decide what to include.
Download a Final ReportGet a detailed PDF report you can use to uphold research integrity within your lab or team.
Trusted by Leading Institutions and Publishers
250K+ Manuscripts
Scanned using Proofig AI to uphold research integrity
Global
Trust
Adopted by top-tier publishers, journals, and research institutions
Seamless Integration
Integrated into pre-submission and editorial screening workflows
Integrity Support
Used by researchers, editors, and ethics officers worldwide
Proofig helped us catch issues we would’ve missed entirely.
High-Impact Journal
Further Resources
Automated image integrity tools carry a clear ethical responsibility: to surface suspected issues for human review, not to deliver verdicts. Responsible tools must minimize false...
AI-generated text detectors and AI-generated image detectors solve fundamentally different problems. A manuscript can pass text-based AI screening and still contain fabricated figures. Tools that...
Most image integrity issues in submitted manuscripts are unintentional, arising from figure preparation errors, mislabeled panels, or mistakes introduced by collaborators during data handling. Journal...
Publishers can integrate AI image integrity tools into their editorial workflows in a COPE-aligned way by using them as a screening layer that surfaces suspected...
PubShield is an institutional manuscript quality assurance hub, a product distinct from Proofig AI, that consolidates multiple integrity checks into a single workflow. It brings...
AI is transforming how image integrity issues are detected in scientific research. Automated tools now screen for duplication, manipulation, AI-generated content, and plagiarism at a...