MortgageMind AI – Sprint 5.3 Completed | OCR Pipeline Successfully Integrated

MortgageMind AI – Sprint 5.3 Completed | OCR Pipeline Successfully Integrated

Today was a major milestone in my journey of building MortgageMind AI, an AI-powered mortgage document processing platform using FastAPI, PostgreSQL, SQLAlchemy, Alembic, and Python.

After successfully completing document management in the previous sprint, today’s focus was on making the application capable of reading and understanding uploaded documents.

✅ What I implemented today

📄 OCR (Optical Character Recognition) Pipeline

• Designed and implemented a dedicated document_texts database model.
• Stored extracted text page-by-page for future AI processing.

🗄️ Repository & Service Architecture

• Added DocumentTextRepository.
• Implemented DocumentTextService.
• Created a modular OCRService to keep the solution scalable and maintainable.

📑 Dual OCR Strategy

• PyMuPDF for extracting text from searchable PDFs.
• Tesseract OCR as an automatic fallback for scanned/image-based PDFs.

⚙️ Automatic OCR Workflow
The upload pipeline now works as follows:

Upload Document
        ↓
Save File
        ↓
Save Document Metadata
        ↓
Extract Text (OCR)
        ↓
Store Page-wise OCR Data

🧪 Testing

• Successfully tested searchable PDFs.
• Successfully tested scanned PDFs using Tesseract fallback.
• Verified extracted text is automatically stored in PostgreSQL.

Technical Stack

• Python
• FastAPI
• SQLAlchemy
• Alembic
• PostgreSQL
• PyMuPDF
• Tesseract OCR
• pdf2image
• Pillow

Lessons Learned

Today’s biggest learning wasn’t just implementing OCR—it was building a robust pipeline that can intelligently switch between text extraction methods depending on the document type. This makes the platform much more resilient when handling real-world mortgage documents.

Next Milestone

The next sprint will focus on AI-powered document analysis, including:

• Document classification
• Intelligent field extraction
• AI-generated document summaries
• Preparing the extracted text for semantic search and Retrieval-Augmented Generation (RAG)

Every sprint brings MortgageMind AI one step closer to becoming an intelligent mortgage document assistant.

#Python #FastAPI #PostgreSQL #SQLAlchemy #Alembic #OCR #Tesseract #PyMuPDF #ArtificialIntelligence #MachineLearning #MortgageTechnology #FinTech #BackendDevelopment #SoftwareEngineering #OpenSource #LearningInPublic #BuildingInPublic #MortgageMindAI