Application of Python Automation Tool Combined with OCR Technology in "Financial Checkup" of Universities
DOI: 10.23977/acccm.2023.051220 | Downloads: 32 | Views: 677
Author(s)
Shumin Xia 1
Affiliation(s)
1 Audit Office, Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China
Corresponding Author
Shumin XiaABSTRACT
In this case study, auditors conducted research on the financial reimbursement process of a university and identified insufficient risk controls in the finance department of University W using process testing and risk assessment. Based on the needs of "financial checkup" and the objective condition of digitized financial vouchers in the university, auditors combined information technology audit tools and big data auditing concepts. They integrated Python automation tools with OCR technology and connected to an intelligent cloud OCR financial document image recognition interface to automate the process of reading files, recognizing invoice images, collecting data, and writing them into Excel. Subsequently, through data analysis, audit suspicions were identified for further verification, thereby improving audit efficiency and accuracy.
KEYWORDS
Python, OCR, Financial CheckupCITE THIS PAPER
Shumin Xia, Application of Python Automation Tool Combined with OCR Technology in "Financial Checkup" of Universities. Accounting and Corporate Management (2023) Vol. 5: 130-136. DOI: http://dx.doi.org/10.23977/acccm.2023.051220.
REFERENCES
[1] Liu, L. Research on the Problems and Countermeasures of Electronic Invoice Management and Control. China Collective Economy, 2022(33), 129-131.
[2] Zhang, X. Research on Audit Algorithms for Two Direct Extension Policies Based on Python. China Internal Audit, 2021(10), 48-55.
[3] He, Y., & Cai, Z. Research on the Application of Random Forest Algorithm Based on Python in Human Resources Audit of Power Grid Enterprises. China Internal Audit, 2021(08), 44-50.
[4] Yuan, L. Application of Python Data Analysis Techniques in Audit of Fueling for Government Vehicles. China Internal Audit, 2020(10), 58-61.
[5] Wang, L., & Ye, J. Innovation and Implementation of Audit Technology Based on OCR. China Internal Audit, 2019(04), 44-47.
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