Member of STM and COPE · Supporting research and publication integrity
Detect image image integrity issues early
Built for research & publishing workflows
Transparent AI-assisted analysis
Preserve Image Integrity in Research
AI-powered image analysis to detect duplication, manipulation, plagiarism, and AI-generated content in research papers.
Trusted Members of
Imagetwin is Trusted By Leading Institutions Worldwide
Image Integrity, Built for Research
Complete scientific image analysis software designed to support researchers, publishers, universities, and institutions in maintaining research integrity. Our Image Analysis AI detects and addresses the most pressing challenges in research publishing, helping to ensure accurate and credible research.
AI-Generated Image Detection
Detect AI-generated images in scientific figures and verify the authenticity of visual data.
Duplication Detection
Identify duplicated images within manuscripts to prevent unintentional or improper reuse.
Manipulation Detection
Detect image manipulation, including splicing, copy-move edits, and other alterations.
Plagiarism Detection
Compare images against a database of over 150 million published figures to verify originality and attribution.
AI-Generated Image Detection
Identify AI-generated images in scientific figures and ensure the authenticity of visuals in manuscripts. Our detection now includes clear model attribution.
Duplication Detection
Automatically detect duplicated images within manuscripts to prevent unintentional or improper reuse.
Manipulation Detection
Uncover inappropriate image edits, splicing, copy-move forgeries, and alterations that may impact the validity of research findings.
Plagiarism Detection
Verify image originality with comparisons against a database of over 100 million published figures, ensuring transparency and proper attribution.
Case Study: Use of Imagetwin in Research
A major investigation at Radboud University Medical Center used Imagetwin to examine image use in pre-clinical subarachnoid hemorrhage research, revealing numerous image-related concerns across the field.
1. Large-Scale Literature Review
The team examined a substantial body of published pre-clinical subarachnoid hemorrhage studies, assessing figures and visual data across the field.
2. Identification of Image Issues
- Across the reviewed papers, researchers found a notable number of duplicated, overlapping, or reused images within the literature.
3. Variability in Journal Responses
- The study observed that journals and publishers responded inconsistently when notified about potential image issues.
4. Improved Field-Wide Insight
- This work contributes to a clearer understanding of how image data is used in pre-clinical stroke research and where challenges may occur.
How Imagetwin Works
Upload your manuscript or images
Run AI-powered scan
Review flagged image issues
Download or share the report
Powerful Features for Comprehensive Image Analysis
Imagetwin combines advanced AI with user-friendly tools to ensure research integrity at every step.
Extensive Database
Compare images against a database of over 150M+ published figures to detect plagiarism.
Confidence Scores
Review analysis results with confidence scores to support informed decision-making.
API Access
Integrate Imagetwin into peer review, publishing, and institutional workflows.
Forensic Toolbox
Use image analysis tools, including matched keypoints and visual filters, for detailed evaluation.
Private Repository
Build a private image database and automatically check new submissions for duplication.
Data Encryption
Your data is protected with industry-standard encryption and security best practices.
Trusted by Leading Institutions and Researchers
Imagetwin is used by some of the world’s largest publishers and institutions to protect image integrity in scientific research.
of the top academic publishers use Imagetwin
manuscripts were scanned with Imagetwin
academic organizations use Imagetwin
What Our Clients Say
Hear from researchers and publishers using Imagetwin.
Elisabeth Bik
Research Integrity Expert
Imagetwin is fast and easy to use. I have found that it has an impressive hit rate for spotting duplicates in image data, especially when comparing microscopy images across the published record… I believe it is set to become a highly effective tool supporting the reviewing process in scholarly publishing.
Jana Christopher
Research Integrity Expert
As a global publisher, research integrity is non-negotiable for us. Imagetwin supports our commitment to protecting the quality and reputation of the research we publish. The tool fits smoothly into our editorial workflow and helps us uphold high standards. We value the fact that the Imagetwin team actively engages with publishers to refine the product.
Sage
Andrew Smeall, Vice President, Production Innovation, Research, Sage
Taylor & Francis began using Imagetwin within Dove Medical Press in 2022 as a standalone solution to strengthen image screening. Since then, the platform has been integrated via API into our submission system on selected journals, enabling scalable and automated screening across our workflow. Imagetwin’s duplication detection capabilities, supported by its extensive database, enhance our ability to conduct broader screening and ensure the authenticity of submitted figures. This integration supports efficiency, strengthens confidence in the editorial process, and reinforces our commitment to protecting the integrity and reputation of the research we publish.
Taylor & Francis
Shay O'Neill, Consulting Editor Manager, Taylor & Francis
IOP Publishing have been using Imagetwin since 2022 to help assess image validity in manuscripts. We use it across our journal portfolio, but it’s been especially useful on microscopy images and identifying duplication. Having the flexibility to check any manuscript at any stage has proved very useful, as it can be used at initial submission, revision, or post-publication. We’re also really proud to share our dataset of images with ImageTwin to help the tool find more duplications – we all benefit when we work together as a community.
IOP
Kim Eggleton, Head of Research Integrity and Peer Review, IOP Publishing
Our Partnerships
By partnering with industry leaders in publishing and scholarly workflows, we are transforming how research is submitted, reviewed, and published. Together, we’re making it easier for publishers, researchers and institutions to uphold research integrity.
Protect Research Integrity with Confidence
Start using Imagetwin to detect image integrity issues and support trustworthy research publishing.
Frequently asked questions
What is Imagetwin?
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.
Who can benefit from using Imagetwin?
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.
How does Imagetwin work?
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.
Is my data secure with Imagetwin?
Yes, we prioritize data privacy and security, ensuring that all image indexing and exchanges are protected with industry-standard encryption and security best practices.
How can I get access to Imagetwin?
Create an account and start using Imagetwin immediately. We prepared a few example documents that you can scan free of charge.
Does Imagetwin integrate with existing peer-review processes?
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.
Where can I find more information or support for using Imagetwin?
For more detailed guidance on using Imagetwin, contact our support team through our Contact Us page.
Imagetwin has been a fantastic tool to help me find duplicated photo panels in scientific papers. As an image duplication ‘detective’, I scan many scientific papers daily, and Imagetwin has greatly increased the speed and accuracy of this work.