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

arXiv cs.AI LLM Agents Yichen Shi, Yuzhi Liu, Zhuofu Tao, Li Huang, Yuhao Gao, Ting-Jung Lin, Lei Hel 2026-07-22

TL;DR - SFgen uses multimodal LLM agents to recognize and generate PCB component symbols and footprints, reducing reliance on error-prone manual library creation. It also powers SFnet, an expanding database currently covering 1,000 components.

  • SFgen reports 86% accuracy for symbol generation.
  • Footprint generation achieves 80% accuracy.
  • The resulting SFnet database supports future automated PCB design generation.

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