Leveraging advanced AI technologies, this system assists bank personnel in automatically recognizing and processing Balance Sheets (BS) and Profit and Loss Statements (P&L) submitted by clients. Its primary objectives are to reduce manual data entry time and typing error rates while improving image recognition accuracy, directly addressing the pain points of conventional OCR—such as low recognition rates and precision—to enhance the quality and digitization of financial services. Key outcomes: 1. AI recognition accuracy exceeding 95% 2. Reinforcement learning integrated for symbol recognition (e.g., "%") 3. Context-aware semantic recognition to overcome broken characters 4. Enhanced model recognition capabilities for repeatedly photocopied and faded documents The system was deployed at Taiwan Business Bank for financial statement recognition. Having successfully passed Proof of Concept (POC) and Proof of Service (POS) validations, it has already gained access to the acceptance for commercial business.