Imagetwin – Find image integrity issues in life science manuscripts

Increase the
Quality Trust

in Science

Imagetwin is an AI-based software for detecting integrity issues in figures of scientific articles.

What we offer

Imagetwin is the optimal solution for detecting integrity issues in life science articles. We detect inappropriate manipulation and duplication in many figure types, including blots (western blots), microscopy images, and light photography.

Plagiarism Detection

Find out if a figure was reused across articles by checking against our database containing over 75 Million images.

Manipulation Detection

Find duplicates and data fabrication within articles.

Efficient & Accurate

Find integrity issues in seconds and with high accuracy.

About imagetwin

How does the software work?

1. Select

Select a PDF or multiple image files like JPG, PNG, GIF, and many others.

2. Scan

With a single button press, the selected content is scanned by our AI-based algorithm.

3. Examine

Within seconds, the results are presented in the web interface.

Imagetwin is a powerful addition to the peer-review process. All kinds of integrity issues are automatically detected and can be quickly verified by a reviewer.

Your data is kept private and secure: We do not store any uploaded content, and communication with our servers is encrypted. Learn more in our Privacy Policy.

Are you interested in using imagetwin?

Or contact us to get more information.

Trusted by leading organizations & experts

Experts, universities, publishers, and journals have used imagetwin to surface hundreds of falsified papers and manuscripts. Find some examples at Pubpeer.

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. Within seconds, it will extract and compare the images within a PDF, analyze sets of screenshots, or even find duplications with PubMedCentral papers. Best of all, the developers have been incredibly helpful and responsive in making the tool better. Highly recommended!

We've been very happy with how well imagetwin detects duplicate images within a manuscript prior to its publication! What could take our editors minutes to hours to check for duplicates by eye takes imagetwin seconds (and the software often finds duplicates missed during manual checks). Using ImageTwin, we have also detected duplicate images from previously published manuscripts before the error is published, rather than the scientific community spotting the error after publication.

Over the last decade, the sophistication and skill in manipulating image data in scientific publishing have increased significantly. Identifying image integrity issues can be challenging, especially for untrained reviewers and editorial staff. 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, which can be laborious and time-consuming. I include imagetwin in my workflows and am excited by its ongoing developments. I believe it is set to become a highly effective tool supporting the reviewing process in scholarly publishing.

I have been fortunate to utilize imagetwin as part of our comprehensive publication integrity workflow. I have found it fast and easy to use, and imagetwin has been very responsive to user feedback, adding enhancements and new capabilities to the application without sacrificing ease of use. Their key functionality (looking for image matches within the publishing ecosystem) is a game changer, providing previously missing information that is essential to evaluating images.

Supporters & Awards

We are proud to be incubated in the TU Wien i²ncubator, an incubation program for TU Wien affiliated deep-tech innovations run by the TU Wien Innovation Incubation Center.

Our company was funded by Seedfinancing of the BMDW administered by aws.