AI-based OCR technology can train more accurate OCR models, thereby improving OCR recognition accuracy and precision. This is because AI can process more data and can use machine learning algorithms and deep learning models to automatically optimize OCR models.

AI-based OCR technology can better adapt to different text and language environments. Because AI can automatically learn more extensive language knowledge and contextual information, it can better handle various OCR recognition scenarios.

AI-based OCR technology can accelerate OCR recognition speed. This is because AI can use efficient computing methods such as parallel computing and distributed computing to complete OCR recognition tasks more quickly.

AI-based OCR technology can better support the expansion and upgrading of OCR recognition. This is because AI can continuously train and optimize OCR recognition to improve accuracy and efficiency, thereby responding to changing OCR recognition needs. Additionally, AI technology can be integrated into other related technologies and systems to improve the scalability and reliability of the entire OCR recognition system.