ScreenCoder's core technology architecture is based on a modular multi-intelligence system, which divides the conversion process into three specialized phases: visual recognition (Grounding Agent) is responsible for analyzing UI elements, layout planning (Planning Agent) organizes the hierarchical structure of the page, and code generation (Generation Agent) outputs standards-compliant HTML/CSS. This clear division of labor framework design ensures that the conversion result not only maintains design accuracy, but also has a high-quality code structure. The system supports multiple generation models such as Doubao, Qwen, GPT and Gemini, which can be flexibly selected by users according to actual needs.
This answer comes from the articleScreenCoder: A tool to convert UI screenshots into editable HTML/CSS codeThe
