GOT-OCR2.0 is an open-source OCR model aimed at advancing optical character recognition technology towards OCR-2.0 through a unified end-to-end framework. This model supports various OCR tasks, including but not limited to standard text recognition, formatted text recognition, fine-grained OCR, multi-crop OCR, and multi-page OCR. It is based on cutting-edge deep learning techniques, capable of handling complex text recognition scenarios with high accuracy and efficiency.