Data entry method, system, computer equipment and readable storage medium

Abstract

The invention provides a data input method and system, a computer device and a computer readable storage medium. The data input method comprises the steps of synchronizing original data to a target system from a data source system to form an original database of the target system; determining a scanning dimension of a to-be-scanned file; scanning contents related to the scanning dimension in the scanned file to generate scanning data; comparing the scanning data and the data in the original database; and when the scanning data is matched with the data in the original database, generating a target file according to the data of the original database. In a multi-system cooperation mode, the problems of low paper file document input efficiency and data inconsistency caused by manual maintenance are solved; the business process of file document digitalization is simplified; and the manual operation is reduced.

Description

technical field [0001] The present invention relates to the technical field of data entry, in particular to a data entry method, a data entry system, computer equipment, and a computer-readable storage medium. Background technique [0002] Driven by the Internet economy, enterprises generate massive amounts of data every day, and more and more paper documents need to be entered into the management system to facilitate complex business logic processing and in-depth mining and analysis. In the traditional ERP system, users usually enter paper documents into the system by manual input, but this method is inefficient and inaccurate. In order to enter paper documents accurately and efficiently, the ERP system introduces scanning equipment instead of manual Input, scan all the information of the paper documents to the system through the scanning equipment, and then after a series of operations such as manual verification, correction, and counterfeit verification, the formal electr...

AI Technical Summary

Problems solved by technology

Although this method has improved efficiency and accuracy to a certain extent, there are still some shortcomings: (1) In order to ensure data integrity, paper documents are currently scanned by full-face information scanning, which has a large amount of identification information. The text recognition performance and transmission network bandwidth requirements of scanning equipment are extremely high, and the response speed of ordinary equipment is slow; (2) The scanning results need to be manually checked and revised repeatedly. For enterprises with a large amount of paper documents, the manual maintenance workload is huge; (3) ) For scenarios with counterfeit verification links, real-time access to the source system is generally used to solve the problem, and the response pressure for the target system is high; (4) The paper documents themselves come from other systems, and the data source system has the most accurate original data, so repeated Production of existing data is prone to data inconsistency

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