πŸ“„Document Processing

The beneficiary backend processes various document types (certificates, IDs, forms) through an automated pipeline that extracts, validates, and stores information.

Key Features

  • πŸ“Έ Upload any document (JPEG, PNG, PDF)

  • πŸ” Extract text using OCR

  • πŸ€– AI-powered field extraction

  • ☁️ Secure cloud storage

  • βœ… Automatic validation

Processing Flow

Standard Document Upload

Upload β†’ OCR Processing β†’ AI Mapping β†’ Storage β†’ Database
Time: 5-15 seconds

Profile Picture Upload

Upload β†’ Storage β†’ Database
Time: 0.5-2 seconds

Registration with Document

Upload β†’ OCR β†’ Mapping β†’ Validation β†’ Storage β†’ User Creation
Time: 6-18 seconds

Service Independence

Each service is built using the Adapter Pattern, meaning:

  • βœ… Services work independently or together

  • βœ… Easy to switch providers via configuration

  • βœ… No tight coupling between services

  • βœ… Testable and maintainable

Pages in This Section

  • Service Adapters - Adapter pattern and architecture

  • OCR Processing - Text extraction from document.

  • OCR Mapping - AI-powered field extraction

  • File Storage - Cloud storage (S3)

  • OCR Provider Comparison Report - Detailed test results and analysis - Detailed comparison of AWS Textract, Google Gemini, and Tesseract

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