Advancements in technology are transforming the construction industry, particularly through automation in areas like invoice processing, which has traditionally been manual, time-consuming, and prone to errors. This transformation is crucial as construction projects grow increasingly complex and expensive, demanding improved efficiency and cost management from project managers. Construction invoices, essential for maintaining cash flow, come in various types such as construction, supplier, architect, and subcontractor invoices, each requiring detailed information for payment processing. Technologies like Optical Character Recognition (OCR) and Deep Learning are being utilized to digitize these invoices, allowing for automated data extraction and reducing the need for manual intervention. By implementing OCR and deep learning techniques, companies can improve accuracy in reading invoices, enhance data processing efficiency, and better organize financial information, ultimately contributing to a more streamlined workflow. This automation not only saves time and reduces errors but also aids in informed decision-making by enabling the extraction and analysis of structured data from invoices.