OmniParser, developed by Microsoft, is an advanced image parsing technology designed to transform irregular screenshots into structured lists of elements, including the location of interactive areas and functional descriptions of icons. It achieves efficient parsing of UI interfaces through deep learning models like YOLOv8 and Florence-2. Its main advantages lie in its efficiency, accuracy, and broad applicability. OmniParser significantly enhances the performance of user interface agents based on large language models (LLMs), enabling them to better understand and interact with various user interfaces. It performs exceptionally well in various application scenarios, such as automated testing and intelligent assistant development. OmniParser's open-source nature and flexible licensing make it a powerful tool for developers and researchers alike.