The increasing demand for smooth and instantaneous currency conversion in an international marketplace is addressed by this study. There is a need for quick and precise currency translation directly from price tags due to the growing diversity of items and consumers from different geographical areas. To achieve real-time currency conversion using price tags, the proposed work suggests a novel strategy that combines image processing, text recognition algorithms, and machine learning techniques. In order to extract price information from product tags, the system employs sophisticated image processing techniques, which enable it to overcome obstacles including varying lighting conditions, font styles, and tag layouts. Optical Character Recognition (OCR) technology is integrated to transform the captured text into machine-readable data. Machine learning algorithms further enhance the system’s ability to adapt to different languages and currencies, ensuring accurate and efficient currency conversion.