Document parsing is a process that involves examining the data present in a document and extracting useful information from it. This can be achieved using Optical Character Recognition (OCR) and Machine learning algorithms, allowing for high accuracy and reliability in data extraction. Document parsing has numerous benefits, including elimination of manual data entry, digitization of data, and improved reliability. It can also automate workflow processes such as invoice processing, enabling companies to streamline their operations and reduce errors. While there are challenges associated with document parsing, such as handling multiple languages and debugging issues, various online tools and software solutions, including Amazon Textract, Google Cloud Vision, and Nanonets, can be used to overcome these obstacles. Nanonets is a popular choice due to its high accuracy, seamless integrations, competitive pricing, and customer base featuring well-known companies such as Deloitte and Procter & Gamble.