Academic Image Integrity Tool for Universities

Empower your faculty, students, and research offices to uphold rigorous visual data standards, and protect your university’s reputation.

Trusted Members of

Trusted by leading universities worldwide:

Strengthen Academic Integrity

Identify image issues early, ensure transparency, and protect academic reputation before submission.

Detect Integrity Issues Early

Screen papers and theses for image integrity issues before submission.

Promote Transparency and Trust

Use confidence scores and forensic tools to support academic honesty across all disciplines.

Protect Academic Reputation

Reduce retractions, strengthen compliance, and demonstrate commitment to research excellence.

Solution for Universities

Imagetwin helps universities embed research integrity into every stage of scholarship. From graduate programs to faculty research, you can:

Importance of Image Integrity in Academic Publications

Universities have a responsibility to ensure that all research bearing their name meets the highest standards of integrity. Without proper checks in place, image integrity issues can lead to:
Ethics & Compliance Risks
Misconduct cases trigger investigations, impact degree awards, or result in funding loss.
Research integrity violations impact eligibility for competitive grants and institutional funding.
Retractions and investigations damage a university’s standing among peers and stakeholders.
Imagetwin helps universities maintain the highest standards by automating image integrity screening. Graduate schools, compliance officers, and ethics committees can identify and address concerns before publication or submission.

What Our Clients Say

Hear from universities and academic publishers using Imagetwin.

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At Rockefeller University Press, we have conducted in-house image forensic checks for decades, combining expert visual assessment in Photoshop with strong editorial oversight. Imagetwin strengthens this process by identifying image duplications that are difficult or impossible for the human eye to detect, particularly across previously published literature, even from other journals and preprints. Duplication and plagiarism detection capabilities extend our existing integrity checks, much as text screening tools have supported plagiarism detection for years. The visual comparison interface, especially the side-by-side “eyeball” view, makes it straightforward to assess flagged cases efficiently while preserving the critical role of human judgment in editorial decisions.

Rockefeller University Press
Rockefeller University Press

Laura Smith, Senior Preflight Coordinator, Rochelle Ritacco, Preflight Editor

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Our lab at The Pennsylvania State University works extensively with microscopy images, including fluorescence, confocal, and SEM data in bio-based materials, biomaterials, and regenerative engineering research. ImageTwin helps us screen figures before submission and detect potential duplications across complex datasets. It adds an important layer of quality control and supports our commitment to research integrity prior to publication.

Pennsylvania State University
Pennsylvania State University

Amir Sheikhi, Associate Professor at Penn State University

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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
Taylor & Francis

Shay O'Neill, Consulting Editor Manager, Taylor & Francis

Trusted by Global Publishing Standards

Imagetwin is an active member of internationally recognized publishing and research ethics organizations. Our work aligns with global standards for research integrity, ethical content handling, and responsible technology use.

Features Tailored for Universities

Tools designed for graduate schools, research offices, and ethics committees.

Bulk Scanning for Theses

Quickly scan large volumes of dissertations, theses, and faculty papers for potential integrity issues

Forensic Tool

Investigate flagged images with contrast adjustment, keypoint matching, and geometric transformation analysis

Confidence Scores

Probability scores show the likelihood an image was duplicated, manipulated, plagiarised, or AI-generated

Comprehensive Reports

Generate detailed PDF reports summarizing integrity concerns

Secure Data Handling

All data is encrypted and stored securely, ensuring compliance with university privacy standards

Seamless Workflow Integration

Imagetwin makes it easy to incorporate image verification into existing processes with APIs

Do You Have Any Questions?

Let us know, and we are happy to get in touch.

Alisia Blagermann

Strategic Account Manager






    Frequently asked questions

    Universities can use Imagetwin for image plagiarism detection in academic institutions, to screen theses, dissertations, and faculty research for image duplication, manipulation, and AI generation. The platform supports pre-submission checks, internal reviews, and integrity investigations, helping graduate schools, research offices, and ethics committees uphold rigorous standards and protect academic reputation.
    Institutions are responsible for ensuring the credibility of research output. Without proper image verification, manipulated or duplicated images could lead to retractions, ethics violations, or funding losses.
    Yes. Institutions can use Imagetwin to scan research figures in grant applications to ensure accuracy before submission to funding bodies and government agencies.
    If image integrity concerns arise in misconduct investigations or ethics reviews, institutions can use Imagetwin’s forensic tools to assess flagged images with confidence scores, zoom features, and manipulation detection.

    Imagetwin detects:

    • Duplications within manuscripts
    • Splicing and copy-move forgeries
    • AI-generated images
    • Brightness or contrast modifications that obscure data
    • Image plagiarism for academic institutions
    No. All uploaded research figures are fully encrypted and are never stored in our global dataset after scanning, ensuring compliance with university data protection policies.
    Yes. Institutions can use Imagetwin to review previously published papers for image integrity concerns, supporting post-publication corrections or investigations.
    Yes. Imagetwin provides structured PDF reports that summarize flagged image integrity issues, allowing institutions to document findings for internal compliance teams or funding agencies.
    Most scans complete within seconds, even for large institutional research audits.
    Contact us to discuss custom plans that support high-volume research scanning and compliance needs.