Automatic Identification of Table Contents in Electronic Component Specifications of EDA

With the rapid advancement of technology, the electronics industry has flourished in recent decades. Electronic products such as computers, mobile phones, and smart televisions are ubiquitous in our daily lives. In the design, manufacturing, and maintenance processes of electronic products, a large number of electronic components are required. The relevant information of these components is usually recorded in the tables of electronic component specifications. In this paper, we design methods to recognize and extract contents from tables, which typically contain vital information about electronic components, such as their characteristics and packaging methods. Our approach utilizes text processing techniques to structurally process and analyze the extracted table content, enabling us to obtain the specific information we need. We categorize tables in PDFs into different types and explore relevant information from them using the procedure of each type. The experimental results demonstrate that our method can achieve a high accuracy rate of over 90% in recognizing table contents.