Text Extraction & Recognition from Visiting Cards

The increasing demand for automation in business card data entry has led to the development of various tools and techniques for optical character recognition (OCR). In this paper, we propose a flask-based Python application that processes input images of visiting or business cards, detects text regions, and recognizes text to extract important information such as name, address, contact number, email, and website. Our proposed system uses a combination of image pre-processing techniques, machine learning algorithms, and text analysis methods to achieve high accuracy in recognizing the text from the input images. The extracted information is then stored in an Excel table for further use. We present the experimental results of our system on a dataset of business card images and show that it achieves high accuracy in recognizing the text and extracting the relevant information. Our proposed system provides an efficient and effective solution for business card data entry, which can be applied in various industries such as marketing, sales, and customer relationship management.