Since the Fifth National Financial Work Conference, the CBRC has conscientiously implemented the decisions and arrangements of the CPC Central Committee and the State Council, made every effort to promote the reform of small and medium-sized rural banks into insurance, handled a number of risk points steadily, and kept the risk bottom line. The overall development of small and medium-sized rural banks has been stable, and the overall risk is controllable, which strongly supports the development of the real economy.

Explore a more agile and simple approach to upgrading iterations

Although different banks have different needs and service subjects, they win trust. However, no matter what size, business or region the bank is in, how to better use new technologies to enable business efficiency improvement and serve customers efficiently and stably is the common demand of banking business.

The financial statement is an important basis for the approval of the actual bank credit business. The staff needs to review the customer's financial statement. The traditional financial statement entry requires manual input by the staff, which is time-consuming and labor-intensive. We use machine recognition instead of manual entry to automate the entry process. By uploading the original chart of the financial report, the report content is automatically identified, balanced and corrected by OCR, so that the financial report can be identified once and electronically, thus improving the accuracy of the entry, and effectively avoiding the risk caused by the entry error.

Sinosecu intelligent financial statement recognition system 

The financial statement recognition system supports the automatic recognition and classification of balance sheet, cash flow statement and income statement.

On the one hand, the financial report identification system solves the data deviation caused by the operator's experience error in the process of entering different financial reports. On the other hand, it realizes rapid entry through OCR identification technology based on deep learning, improves the efficiency of business handling, improves the accuracy of the entry results, and improves the customer experience. The users of this product include banks, securities and other financial institutions, as well as institutional users with financial report entry requirements such as investment, financing and audit, which are applied in bank credit, financial leasing, supply chain finance, loan review, financial analysis and other scenarios. Close to the user's business process, the financial report entry process is fully automated and intelligent, eliminating the trouble and risk caused by manual entry. It provides a standard HTTP or WebService interface, which can be seamlessly connected with credit system and other business systems.

"Efficient", "Stable"

It is reflected in the support of product technology core, convenient operation and response speed;

Reflect scientific and reasonable settings and strong robustness. It is a stable, efficient and reliable professional application product for users.

"High efficiency" is reflected through the simplicity of user operation

Financial statement recognition supports automatic extraction of financial statement information from hundreds of audit reports

The single field recognition rate is above 95%; The recognition speed of a single report is about 3 seconds.

Recognize that the support of the kernel is "stable".

Automatic filtering of red seal interference

Support red seal detection, noise removal and other image processing functions; Support the recognition of complex format reports such as border-less reports and incomplete reports

 Account dictionary matching

Financial statement recognition supports automatic matching of multiple statement accounts

At the same time, intelligent input of financial statements, intelligent matching of templates, real-time balance verification and other designs can improve the efficiency of financial report input as a whole and shorten the task processing time; At the same time, it can save a lot of labor costs, and the overall operating costs can be greatly reduced.

The trim prompt is intuitive and clear

After the financial report is uploaded, the system will automatically convert the format, identify and analyze the file, and mark the red as the error item of the balance result. You can manually match the original drawing and template accounts. It supports amount subtotal verification, total verification, and accounting identity verification. Through data verification and confidence analysis, objection data can be displayed in red. It also supports automatic matching of multiple report accounts. Provide report proofreading tools, quickly check data, and export EXCEL forms of various accounting standard templates.

Template Differentiation Design Optimization Built in Rules and Matching Strategie

Provide the template of new and old standard accounting standards issued by the Ministry of Finance in the current year, and configure the fuzzy mapping filling of user specific report modules online.

A number of common professional templates are collected in the template to provide more options for the entry of financial statements. Users can also add financial report accounts and financial report formulas by themselves in the new template according to enterprise financial report requirements. To meet customer needs, new templates support customers to create their own standard financial report models. The output template can be customized.

Asynchronous task processing Multi operation unified task management Automatic processing

It can quickly and accurately extract the information in three financial statements from hundreds of audit reports, and supports the identification of reports in the form of no frame, incomplete frame and line, and with frame; Support red seal detection, noise removal, multi angle rotation and other image processing.

Built in financial articulation formula

At present, China is at the peak of the iterative construction of the bank's core system. Banks have put forward higher requirements for IT technology. The wave of domestic substitution has also given domestic service providers more opportunities to show. We will cut into IT solution planning from the bank's demand side, help banks achieve business continuity, reduce costs and increase efficiency, and realize the beautiful vision of "technology driven business growth".