The market for Document Artificial Intelligence (AI) powered by Optical Character Recognition (OCR) technology is rapidly expanding. In document-intensive sectors such as finance and public administration, organizations are actively building datasets using AI OCR technologies and accelerating internal adoption of AI and data-driven workflows.

According to industry reports on the 20th, Lomin and Upstage are emerging as leading players in the Document AI space. Utilizing AI OCR, both companies provide highly refined digitalization services capable of analyzing not only Korean but also historical scripts, English and other foreign languages, along with various document formats, images, and tables. Their solutions help convert raw data into structured, actionable information.

The engine delivers exceptional recognition accuracy and processing performance, especially for low-quality documents with noise. A key strength of the solution is its ability to recognize printed, handwritten, and typewritten text with high precision.

In collaboration with the National Archives of Korea, Lomin developed a typewritten character recognition system for Korean, achieving over 98% recognition accuracy. It also digitized historical government documents for the Truth and Reconciliation Commission by recognizing English typewritten characters. Furthermore, Lomin’s technology, capable of identifying special character attributes, is currently being used to analyze chemical experiment data for the Korean Intellectual Property Office.

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Lomin has successfully delivered projects for major financial institutions such as KB Financial Group, Mirae Asset Securities, and Kyobo Life Insurance, as well as public sector entities including Korea Post and the Export-Import Bank of Korea. The company also has proven use cases in the education and automotive industries.

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