OmniParser is a method developed by the Microsoft Research team for parsing user interface screenshots. It significantly enhances the capability of vision-based language models (like GPT-4V) to generate accurate interface interactions by recognizing interactive icons and understanding the semantics of various elements in screenshots. This technology utilizes finely tuned detection and description models to parse interactive areas in screenshots and extract functional semantics, outperforming baseline models in multiple benchmark tests. OmniParser can be utilized as a plugin with other visual language models to improve their performance.