The text explores the application and evolution of Optical Character Recognition (OCR) technology in automating the extraction of information from documents like passports and ID cards for Know Your Customer (KYC) processes. It highlights the limitations of traditional OCR tools, such as Tesseract, which struggle with complex document structures and require enhancements through machine learning and deep learning for efficient key-value pair extraction. Specifically, the text discusses the challenges of extracting information from Machine Readable Zone (MRZ) codes on passports and addresses issues like poor scanning quality and document authenticity verification. Nanonets' OCR API is presented as a solution that simplifies this process by allowing users to train and deploy OCR models without requiring deep technical expertise, offering features that ensure data privacy and security. The document concludes by emphasizing the potential business applications of Nanonets' OCR technology, which can improve efficiency and reduce costs.