Abstract
Digital transformation of education and training institutions is becoming an urgent task and Banking Academy is not an exception. In order to facilitate the digital transformation process, digitization tasks must always be promoted. In this paper, the author conducts a research about digitization technology and proposes solutions for digitizing text documents in Banking Academy. Specifically, this article introduces core technologies in document digitization such as Optical Character Recognition, Intelligent Text Processing, investigates typical solutions on the Vietnamese Digitization market to choose the appropriate one and conducts an experiment based on FPT.AI Reader with manually-collected datasets from several departments in the Academy. The experimental results are impressive, with 27% word error rate and only 16% error in the text containing title, department name, document type. This solution could be improved to apply to the digitization process at the Banking Academy in the future.
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