NeosAI OCR

Core Functions and Technical Advantages High Precision and Complex Scene Recognition: The system achieves an optical character recognition accuracy of 98.8% and a handwritten text recognition accuracy of 91.2%. By integrating Visual Language Models (VLM) and Small Language Models (SLM), it can effectively process low-quality images affected by tilting, reflection, low resolution and other adverse conditions, and accurately recognize connected handwritten characters, text embedded in seals, corrected strikethroughs, checkboxes and complex tables. AI Automatic Calibration and Rule Matching: AI can automatically detect key fields and generate structured annotations, reducing the time cost of label configuration by 70% and enabling same-day go-live. Meanwhile, it can automatically match post-processing rules (e.g., date unification, amount verification) based on semantic features. Business Data Standardization (Dictionary Matching): The system has built-in industry-standard databases for sectors including healthcare (e.g., ICD-10 codes, disease names, pharmaceutical names) and finance (e.g., financial institution codes), and also supports users to upload custom dictionaries. Through exact matching or vector similarity matching, it can automatically correct typos or convert non-standard expressions into standardized business codes, substantially reducing manual entry costs. Enterprise-level Seamless Integration: It provides standard API integration capabilities and outputs data in standardized JSON or CSV formats, which can be directly connected and docked with the enterprise's existing core business systems such as RPA, ERP, MES and risk control systems.

Supported Recognition Modes To adapt to different application scenarios, the system provides two main configuration and extraction modes for accounts and invoices: Non-fixed Format Account and Invoice Mode: This mode is suitable for documents with variable layouts and inconsistent formats (e.g., diagnostic reports from different hospitals, invoices from different merchants). It eliminates the requirement for pre-configured position templates. Instead, users can directly query the AI through natural language Prompts, allowing the model to automatically locate and extract target data based on semantic understanding. Fixed Format Account and Invoice Mode: This mode is suitable for documents with fully fixed formats (e.g., specific insurance claims, standardized invoices). By manually pre-defining recognition regions through frame selection, it achieves extremely high field extraction accuracy and processing efficiency. Furthermore, due to its lower computing power requirement, it delivers lower application costs.