Provision and implementation of the optical character recognition (OCR) system at mBank

Banking

In the era of digitization of banking, it is becoming crucial to streamline document handling processes. As a leader in innovation, mBank has set its sights on automation, implementing an OCR system for recognizing content from documents. Thanks to cooperation with DomData, a solution was created that significantly speeds up document processing, reduces manual work and increases operational efficiency. The system currently processes hundreds of thousands of pages per month, meeting the bank's high standards. The system takes over much of the manual work by which document processing is significantly faster. Recognition of content from documents is at a high level acceptable to mBank.

More about our client

In terms of assets, mBank is the fourth largest bank in Poland. Its mobile banking system is actively used by over 2.2 million customers. mBank has over 5.6 million retail banking customers and 26 thousand corporate banking customers. It is considered the icon of mobile banking in Poland by all its customers. mBank selected DomData as the optical character recognition system provider.

Challenge

Our task was to design and implement a system for the processing of incoming documents, including the OCR engine.

Explore our solution

As part of the project, we performed a functional and technical analysis, on the basis of which we developed a solution tailored to the bank’s needs. Our consultants configured the OCR engine templates for the optical character recognition and optimised the workflow for the selected document types. We integrated the developed system into the solutions that had already been in place at the bank. Currently, we maintain and service the solution implemented.

Thanks to automation, document processing is faster and the system meets our expectations in terms of quality of content recognition.

CIO, mBank S.A.

The implementation of the OCR system has significantly increased mBank's operational efficiency, automating the process of registering and processing documents. By eliminating much of the manual work, documents are handled faster, and the level of content recognition meets the bank's high standards. The system processes hundreds of thousands of pages per month, streamlining daily operations.

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