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arXiv · 2607.19767

Symbol and Footprint Database for Electronic Components by Agentic Recognition and Generation

Yichen Shi·Yuzhi Liu·Zhuofu Tao·Li Huang·Yuhao Gao·Ting-Jung Lin·Lei Hel
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Abstract

A rich and recognizable component library is the cornerstone of printed circuit board (PCB) design and generation. Traditionally, engineers manually create symbols and footprints and design PCB schematics, which is time-consuming and error-prone. Leveraging multimodal large language models (MLLMs), we develop SFgen, an agentic recognition and generation flow of symbol and footprint for electronic components. SFgen achieves 86% accuracy for symbol generation and 80% accuracy for footprint generation. We use the SFgen method to create SFnet, a database of symbols and footprints. It now has 1000 components and is expanding constantly, which lays the foundation for automatic generation of PCB designs.

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Yichen Shi, Yuzhi Liu, Zhuofu Tao, Li Huang, Yuhao Gao, Ting-Jung Lin, Lei Hel. 2026-07-22. Symbol and Footprint Database for Electronic Components by Agentic Recognition and Generation. https://arxiv.org/abs/2607.19767

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