Imagetwin is a specialized AI tool for checking the integrity of scientific images. It analyzes figures in papers and reports to help identify duplication, manipulation, plagiarism, and AI-generated content.
How it works
Researchers or editors upload individual images or an entire manuscript, and the system runs an automated review. Its algorithms compare image regions, look for repeated areas, signs of editing, and unnatural artifacts to flag potential issues in visual data.
Who it’s for
Imagetwin is designed for organizations that need pre-publication screening workflows, including:
- Academic journals and editorial teams
- Universities and research institutes
- Scientific organizations building integrity review procedures
Detecting AI-generated and altered images
A key focus is spotting images created with generative AI or heavily modified visuals. This is especially relevant in fields where visual evidence directly affects a study’s conclusions, helping teams reduce the risk of unreliable results and improve trust in published figures.
