ScreenCoder is a UI-to-code generation system that transforms screenshots and design mockups into clean, production-ready HTML and CSS code.
The tool addresses the gap between design and development by using a modular multi-agent architecture that combines visual understanding, layout planning, and adaptive code synthesis. Rather than producing rigid or hard-to-modify output, ScreenCoder generates editable front-end code that developers and designers can customize for layout and styling adjustments. The system is designed to handle real-world web screenshots with diverse topics and produce output that is accurate, visually aligned, and semantically faithful to the original design.
ScreenCoder suits developers and designers who need to convert visual designs into working code quickly, whether for rapid prototyping or building pixel-perfect interfaces. The tool supports customized modifications, making it practical for workflows where the generated code serves as a starting point rather than final output. A demo is available through Hugging Face for evaluation before adoption.
The project has been accepted to a major academic conference and includes released post-training code covering supervised fine-tuning and reinforcement learning alignment. The team has published a research paper detailing the approach and released ScreenBench, a benchmark dataset containing real-world web screenshots paired with corresponding HTML source code for evaluation and development purposes.
