Efficient and Accurate Document Parsing and Verification Based on OCR Engine

This paper is dedicated to efficiently and accurately extracting, parsing, and verifying various types of materials such as business licenses and qualification certificates from electronic documents like images, scans, and PDFs within bid documents. Leveraging an OCR engine and well-trained models with strong error correction capabilities, the accuracy of OCR in bid document processing for Guizhou Power Grid Company is significantly improved. This system automatically extracts bid documents of various formats from different sources, precisely parses and verifies key information within them. Through a visual interface, evaluation experts can pinpoint issues related to key material information in bid documents accurately. Experimental results demonstrate that our system accurately extracts crucial information from bid documents of different formats, thereby reducing review and verification time. Our research holds substantial value and promising application prospects. The system has the potential to lower labor costs and enhance the efficiency and fairness of the bidding process.