Core Viewpoint - The future development of OCR invoice recognition technology will focus on integration with emerging technologies, expansion into new application areas, and addressing various challenges in the process [1]. Group 1: Integration with Emerging Technologies - The combination of OCR technology with blockchain will enhance invoice authenticity verification and data security, ensuring data integrity and immutability [2]. - The integration of OCR with big data and artificial intelligence (AI) will optimize procurement processes, reduce costs, and improve tax compliance through advanced data analysis and recognition capabilities [3]. Group 2: Expansion into New Application Areas - OCR technology will play a crucial role in the management of electronic invoices, addressing challenges such as authenticity verification and data security through image recognition and data extraction [4]. - In cross-border trade, OCR technology will adapt to various invoice formats and regulations by supporting multiple languages and international standards, improving efficiency and accuracy [5]. Group 3: Challenges in Development - Data security and privacy protection are critical as OCR technology becomes widely adopted, necessitating strict measures to safeguard sensitive information [6]. - The accuracy of OCR technology remains challenged in complex scenarios, such as low-quality images and handwritten characters, requiring further algorithm optimization [7]. - The rapid advancement of OCR technology demands continuous system updates, which can impose significant costs on companies, particularly small and medium-sized enterprises [8]. - Adapting to evolving regulations and standards across different countries is essential for the effective application of OCR technology in invoice management [9].