Imagetwin

Imagetwin is an AI-powered software platform designed to detect image integrity issues in scientific research papers. It addresses critical concerns in academic publishing by identifying image duplication, manipulation, plagiarism, and AI-generated content within manuscripts. The tool is built for researchers, publishers, universities, and institutions, aiming to preserve the trustworthiness and credibility of published research. It integrates into editorial workflows, enabling pre-screening, verification after revisions, and assessment of post-publication concerns.

The platform's core capabilities include automatic detection of duplicated images within a single manuscript or across multiple publications, identification of common manipulation techniques such as splicing, copy-move forgeries, and contrast adjustments, and plagiarism checking against a large database of published figures. A notable feature, currently in beta, is the detection of AI-generated images in scientific figures, with model attribution provided. Imagetwin assigns confidence scores to each detected issue, assisting reviewers in prioritizing their analysis.

Trusted by leading institutions and organizations like the American Society for Microbiology (ASM), Imagetwin is recognized as a member of STM and COPE. The software is available as a SaaS solution, with pricing available upon request. It primarily processes image files (e.g., microscopy, gels, immunofluorescence) and returns detailed reports, making it a specialized tool for maintaining research integrity in visual data.