Efforts to promote research integrity has been garnering a lot of attention in the academic field. Although solutions for detecting plagiarism in text have been around for many years, an automated system dedicated to identifying manipulated and duplicated images is still not available to this date1. Finding reused and manipulated images not only requires a considerable level of expertise, but is also a laborious, time-consuming, and overwhelming task, especially when handling an enormous collection of images. ImaChek is the only solution that can automatically detect problematic images in scientific papers prior to the publication stage.
1 Based on internal investigation
