Member of STM and COPE · Supporting research and publication integrity
Imagetwin delivers image integrity solutions for institutions, publishers, researchers, and universities – ensuring trusted research.
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Imagetwin Supports Leading Institutions Worldwide














Imagetwin empowers academic institutions to uphold research integrity across all levels, from individual researchers to compliance and ethics teams. Imagetwin supports academic institutions across key integrity workflows
Imagetwin helps publishers, editors, and peer-review teams maintain research integrity by detecting image-related risks before publication.
Imagetwin helps researchers automatically check images and identify potential issues early, supporting a smoother peer-review process and stronger research integrity.
Imagetwin helps universities strengthen research integrity by detecting image issues early across student work and faculty research.
Imagetwin’s effectiveness has been demonstrated through independent studies and real-world adoption across the academic publishing ecosystem.
Increase in duplicate image detection accuracy using ImageTwin’s advanced visual similarity analysis.
Of the largest academic publishers use ImageTwin to support image integrity and research quality assurance.
Scientific images analyzed with ImageTwin across major academic publishing and research workflows.
Imagetwin is used by some of the world’s largest publishers, institutions, universities, and researchers, to protect image integrity in scientific research.
Imagetwin gives institutions, publishers, researchers, and universities the tools to detect image integrity issues quickly and confidently, without disrupting existing workflows.
Ensure every figure meets the highest standards with automated checks that catch issues early.
Eliminate hours of manual image screening with fast, AI-powered verification.
Give editors, reviewers, and committees clear insights to speed up decision-making.
Spot problematic patterns—from duplications to manipulations—before they escalate.
Support institutional and publisher compliance with transparent, consistent integrity checks.
Prevent retractions and maintain trust by ensuring only reliable visuals move forward.
Powerful, AI-driven tools designed to help institutions, publishers, researchers, and universities detect, investigate, and prevent image integrity issues with accuracy and efficiency.
Instant severity scoring (0–100%) helps institutions, editors, and researchers prioritize the most critical integrity issues.
Generate structured, shareable reports for compliance teams, peer reviewers, research offices, or journal submissions.
Publishers, institutions, and universities can integrate automated screening directly into editorial systems and thesis workflows.
Refine results to support investigation. Filter by issue type, severity, figure category, or duplicate source.
Create institutional or publisher-specific libraries to detect reuse, cross-submission duplication, and historical figure matches.
Maintain a full audit trail—ideal for research offices, compliance teams, and editors tracking revisions, investigations, or repeated submissions.
Image integrity issues often go undetected, risking research credibility.
Manual image checks are time-consuming and prone to human error.
Cross-publication plagiarism detection is nearly impossible without exhaustive effort.
Image manipulations like splicing or copy-move forgeries require expert forensic analysis.
Tracking integrity concerns and reports is disorganized and inefficient.
AI-powered detection instantly finds duplications, manipulations, and AI-generated images.
Automated analysis highlights issues with confidence scores and bounding boxes quickly.
Screens millions of scientific images to identify duplicates and plagiarism rapidly.
Detects splicing, copy-move forgeries, and transformations automatically with precision.
Generates detailed PDF reports, keeps scan history, and integrates via API seamlessly.
Start using Imagetwin to detect image integrity issues and support trustworthy research publishing.
Let us know, and we are happy to get in touch.
Imagetwin is software designed to detect integrity issues in figures of scientific articles. It helps identify inappropriate manipulations and duplications in various figure types, including western blots, microscopy images, and light photography.
Imagetwin is beneficial for researchers, peer reviewers, journal editors, and institutions aiming to uphold the quality and trustworthiness of scientific publications by ensuring the integrity of visual data.
Users can upload a PDF or multiple image files to Imagetwin. The software then scans the content using algorithms and vast databases of published scientific figures to detect potential integrity issues. Within seconds, results are presented through a web interface, highlighting any detected problems for review.
Yes, we prioritize data privacy and security, ensuring that all image indexing and exchanges are protected with industry-standard encryption and security best practices.
Create an account and start using Imagetwin immediately. We prepared a few example documents that you can scan free of charge.
Yes, Imagetwin is a powerful addition to the peer-review process. It automatically detects various integrity issues, which can then be quickly verified by a reviewer, enhancing the efficiency and accuracy of the review process. Imagetwin also partners with industry leaders in publishing and scholarly workflows, such as Morressier, TNQ Technologies and more, transforming how research is submitted, reviewed and published.
For more detailed guidance on using Imagetwin, contact our support team through our Contact Us page.