Оптичне розпізнавання тексту (OCR) та парсинг документів за допомогою AI-моделей

Abstract

This article examines modern methods of Optical Character Recognition (OCR) and document parsing using AI models. It discusses the historical development of OCR technologies, their integration into mobile applications, and the core principles and algorithms that enhance recognition accuracy. Special attention is given to challenges and limitations, including difficulties in processing handwritten text, input image quality, and multilingual support. Ethical and legal considerations, particularly in data-sensitive fields like healthcare, are also analyzed. The study outlines future technological advancements, such as improved accuracy, integration with electronic document management systems, and the evolution of algorithms for handwritten text recognition.