Document Understanding Subnet - Whitepaper 1.0
  • What is the Document Understanding Subnet?
  • Core Functionalities
    • Current Capabilities
    • Future Capabilities
  • Supporting Infrastructure
  • Operational Overview
    • Reward Mechanism
  • Technical Architecture
    • Checkbox-Text Extraction: YOLO Checkbox Detector
    • OCR Engine: Tesseract OCR
    • Workflow of Checkbox-Text Extraction
  • Internal OCR Engine Development
    • Advanced Layout Analysis
  • Advantages of Document Understanding Subnet
  • Use Cases of Document Understanding Subnet
  • Economic Model
    • Key Participants and Roles
    • Integration with Bittensor’s Economic Framework
  • Comparative Analysis
    • GPT
    • Azure Document AI
    • Google Document AI
    • AWS Document Processing
  • Strategic Opportunities
  • Integration Options
  • Roadmap
  • Links
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Core Functionalities

PreviousWhat is the Document Understanding Subnet?NextCurrent Capabilities

Last updated 5 months ago

The Document Understanding Subnet’s core functionalities are developed to provide precise, decentralized document comprehension, with some capabilities currently available and others slated for future deployment.

These functionalities are designed to streamline document processing, boost data comprehension, and support interoperability in a decentralized framework. Below, the current and future capabilities are clearly delineated for a comprehensive view.

Future Capabilities
Current Capabilities
Figure 1: Document Understanding Subnet's core functionalities.