Abstract: Methods and a system for processing invoices that combine multiple optical character recognition (OCR) algorithms with machine learning classification to automate invoice data extraction and validation. Both digital and physical invoice uploads are processed, image preprocessing is performed, and specialized OCR algorithms are processed to extract text and create bounding boxes around invoice elements. An intelligent classification engine employs customizable heuristics and machine learning to map extracted text to invoice fields, while maintaining a database of known vendors and items to improve accuracy. An interactive review interface is provided where users can validate and adjust recognized elements, with all corrections being stored to enable continuous system learning. Upon validation, the processed invoice data seamlessly integrates with existing restaurant management systems, providing an efficient solution for automated invoice processing.