Google AI team once again leads the innovation trend by launching a visual language model called ScreenAI. This model is capable of deeply understanding user interfaces (UI) and information graphics, heralding a disruptive revolution in future user experience (UX). The strength of ScreenAI lies in its ability to perform multiple complex tasks, including graphic question answering, element annotation, content summarization, screen navigation, and specific UI question answering. It is like a user interface interpreter with superpowers, intelligently parsing various elements and information on the screen. The workflow of this model consists of two stages: pre-training and fine-tuning. In the pre-training stage, ScreenAI utilizes self-supervised learning techniques to automatically generate data labels, providing a foundation for subsequent model training. In the fine-tuning stage, the model further optimizes its performance on specific tasks using manually annotated data. The core features of ScreenAI are remarkable. Firstly, it can answer questions about screen content, providing accurate answers to descriptions of interface elements and interpretations of chart data. Secondly, ScreenAI can also perform screen navigation, converting natural language instructions into executable actions on the screen, such as clicking the search button. Additionally, the model can provide concise and clear summaries of screen content, helping users quickly obtain key information. Although ScreenAI is currently in the research stage and has not been officially released to the market, its potential applications have already attracted widespread attention in the industry. Whether in online education, corporate training, or digital marketing, ScreenAI is expected to play an important role.