Aside from the pixel comparison approach, we provide two new image comparison methods using AI: layout-based and text/content-based.
Katalon leverages AI to define and match various zones between the checkpoint image and the baseline image, then highlight changes in the layout. We also use machine learning models to extract and compare texts from the two images regardless of font family, font size or color, which helps the user to quickly identify texts modified from the original version.
Visual Testing is an integral part of the Katalon ecosystem; it enables a seamless integration without any setup effort, saving time and optimizing your testing performance. It quickly identifies unexpected visual changes made to the UI on top of the functional testing.
Katalon Studio supports integration with Applitools for customers that are already using the application.