With the continuous growth of data volume and the increasing complexity of the data environment, the traditional data storage and management methods used in the past can no longer meet the needs of safe and efficient data processing in the process of storage and transmission. The purpose of this study is to discuss the application of fuzzy recognition algorithm in the real-time upload system of financial data, and to demonstrate its effect on improving the accuracy and efficiency of data based on specific experiments and optimization. This paper proposed a fuzzy recognition algorithm in real-time financial data upload system. The experimental results show that the optimized fuzzy recognition algorithm system has significant improvement in accuracy, processing time and resource consumption. In addition, the optimized system can accurately identify and classify financial data, which in turn provides a more efficient solution for real-time data processing and improves the overall data processing ability.