ImageTwin is an AI-based software designed to detect image integrity issues in life science manuscripts. This tool specializes in identifying manipulation and duplication across various figure types, including Western blots and microscopy images. ImageTwin enhances the peer-review process by scanning submitted images against a database of 75 million images to uncover potential plagiarism and data fabrication.

Users can easily select multiple image files in various formats, initiate an AI-driven scan with a single button press, and receive results within seconds via a user-friendly web interface. The software ensures data privacy and secure communication through encrypted servers.