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Imagetwin

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Last updated: June 7, 2025

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What is Imagetwin?

Imagetwin is an AI-powered software designed to ensure the integrity of images in scientific research papers. It identifies issues such as duplication, manipulation, plagiarism, and AI-generated content. Key features include detecting image duplications, manipulations like splicing or copy-move forgeries, and AI-generated images (in beta). Imagetwin provides confidence scores, a forensic toolbox, private repositories, data encryption, and API access. It's used by publishers, academic institutions, and researchers for maintaining credibility, auditing research, or ensuring the integrity of figures before publication.

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Imagetwin's Top Features

Detects duplicated images within manuscripts or across a database of over 75 million published figures.

Uncovers inappropriate image edits, including splicing and copy-move forgeries.

Verifies image originality and ensures proper attribution via plagiarism detection.

Offers a beta feature for detecting AI-generated images in scientific figures.

Provides confidence scores (0-100%) for each detected integrity issue.

Offers a forensic toolbox with image analysis tools.

Allows creation of a private image database to check papers against.

Provides API access for integration with peer-review, publishing, and institutional workflows.

Employs data encryption using industry-standard security practices.

Supports bulk scanning for large-scale analysis of manuscripts or images.

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    Use Cases

    Publishers

    Maintain journal credibility by detecting image manipulation in submitted papers.

    Academic institutions

    Conduct research audits and misconduct investigations to ensure academic integrity.

    Researchers

    Check figures for integrity before submission to scientific journals.

    Peer-reviewers

    Validate the originality and integrity of images during the review process.

    Data analysts

    Analyze large datasets of scientific images for integrity issues.

    Journal editors

    Ensure that published articles meet scientific standards by verifying image authenticity.

    Research institutions

    Monitor and maintain the integrity of ongoing research projects and publications.

    Compliance officers

    Verify adherence to ethical guidelines and regulations in research publications.

    Scientific authors

    Ensure that submitted images have not been manipulated and are original.

    Technical support teams

    Assist users in resolving issues related to image integrity in scientific publications.

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    Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.

    Canva Logo
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    Claude AI Logo
    Google Gemini Logo
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