Imagetwin

Imagetwin is a comprehensive AI-driven software solution dedicated to upholding image integrity in academic and scientific research. Trusted by leading publishers and institutions worldwide, it serves as a critical tool for identifying a wide range of visual data anomalies that could compromise research credibility. The platform is engineered to detect image duplication within a manuscript, plagiarism across a vast database of published works, inappropriate manipulations like splicing and copy-move forgeries, and the increasingly prevalent use of AI-generated images in scientific figures.

By automating the screening process, Imagetwin significantly reduces the time and effort required for manual checks, allowing editors, reviewers, and researchers to focus on the scientific content. It provides a robust defense against both unintentional errors and deliberate misconduct, ensuring that visual evidence in research is accurate, authentic, and properly attributed.

How to use Imagetwin

Using Imagetwin is a straightforward, three-step process designed for efficiency and ease of use:

1. Upload: Begin by logging into the Imagetwin web application. You can drag and drop your manuscript files (PDF) or individual image files (JPG, TIF, PNG, GIF, etc.) directly into the upload area. The platform supports bulk scanning for large-scale operations.
2. Scan: With a single click, initiate the AI-powered analysis. Imagetwin's algorithms automatically extract all figures and sub-images, such as microscopy images, western blots, and charts. It then performs a comprehensive scan for various integrity issues. Before scanning, you can use the manual panel adjustment feature to review and correct the automatically detected image areas if needed.
3. Examine and Report: Within seconds, the results are displayed in a user-friendly web interface. The system highlights potential issues with colored bounding boxes and provides a confidence score (from 0% to 100%) for each finding. You can delve into each detected issue using the Forensic Toolbox for detailed analysis, compare images side-by-side, and generate a comprehensive PDF report to share your findings with comments.

Core Features of Imagetwin

• AI-Generated Image Detection: Identifies images created by generative AI models and provides model attribution to assess the authenticity of visuals.
• Duplication Detection: Automatically flags duplicated images and sub-images both within the same manuscript and across different documents.
• Plagiarism Detection: Compares submitted images against an extensive database of over 75 million published figures to identify cross-paper plagiarism.
• Manipulation Detection: Uncovers inappropriate edits, including splicing in gel images and copy-move forgeries, that could alter research findings.
• Forensic Toolbox: Offers advanced tools for in-depth investigation, such as matched keypoints, image filters, solarization, and brightness/contrast adjustments.
• Confidence Scores: Assigns a probability score to each detected issue, helping users prioritize the most critical cases for review.
• API Access: Enables seamless integration into existing peer review, publishing, and institutional workflows for automated, large-scale integrity checks.
• Private Repository: Allows organizations to build a private, internal database of articles to automatically check new submissions against their own published content.
• Detailed Reporting: Generates shareable PDF reports summarizing all findings, complete with user comments and visual evidence.

Use Cases for Imagetwin

Imagetwin is invaluable for various stakeholders in the academic community:

• Academic Publishers: To screen submitted manuscripts for image integrity issues before publication, streamline the peer-review process, and protect the journal's reputation.
• Research Institutions: To verify the integrity of research conducted by their faculty and students, prevent academic misconduct, and maintain high institutional standards.
• Individual Researchers and Authors: To self-check their manuscripts before submission, ensuring there are no unintentional image duplications or errors that could delay publication.
• Research Integrity Experts: To efficiently and accurately scan a large volume of scientific papers for potential image manipulation and duplication, as cited by experts like Elisabeth Bik.

Advantages of Imagetwin

Imagetwin provides a significant competitive edge by offering speed, accuracy, and comprehensive analysis. It can perform checks in seconds that would take a human editor hours to complete by eye. The AI models are trained to detect even subtle transformations like rotation, scaling, and color adjustments. Its large-scale plagiarism detection capability, powered by a massive database, is a crucial tool for ensuring originality. Furthermore, the platform is continuously updated to tackle emerging challenges, such as new AI image generation techniques, ensuring users stay ahead of potential threats to research integrity.

Pricing and Plans

Imagetwin offers flexible pricing to suit different needs, from individual researchers to large publishing houses.

• One-Off Purchases: Ideal for occasional users with no ongoing commitment. Prices are inclusive of VAT and scans are valid for 12 months.
  • Single Scan: €29 per scan
  • 10-Scan Bundle: €199 (€19.90 per scan)
  • 20-Scan Bundle: €299 (€14.95 per scan)
  • 50-Scan Bundle: €499 (€9.98 per scan)
• Yearly Plans: Designed for teams, institutions, and publishers, offering lower per-scan costs and additional features. Prices are exclusive of VAT.
  • Essentials: €999/year for 200 scans, up to 5 users, 500 MB private repository.
  • Advanced: €1,999/year for 500 scans, up to 10 users, 2 GB private repository.
  • Pro: €3,499/year for 1,000 scans, up to 20 users, 10 GB private repository, SSO.
  • Enterprise: Custom pricing for over 1,000 scans, unlimited users, custom repository, SSO, and API integration.
• Plan Add-Ons: Features like API Integration, Single Sign-On (SSO), and Onboarding Workshops can be added to customize plans.