As businesses increasingly transition to digital formats for documents like invoices, automated invoice scanning has become essential for streamlining processes. Invoice scanners utilize Optical Character Recognition (OCR) and artificial intelligence to convert scanned or digitized invoices into machine-readable formats, allowing seamless integration into accounting or ERP systems. These tools offer significant benefits, such as improved accuracy, reduced processing time, cost savings, and the ability to handle large volumes of data. Modern invoice scanning solutions, like Nanonets, address limitations of older systems by using AI and machine learning to adapt to unknown invoice formats and improve continuously. Challenges remain, such as handling handwritten text or unstructured data, but advancements in AI technologies are mitigating these issues. The adoption of invoice scanning not only boosts efficiency in accounts payable processes but also enables businesses to focus on higher-value tasks, making it valuable for organizations of all sizes.