Step 1: Initialize the pipeline (using the provided source code)

from your_ocr_pipeline_module import DocumentProcessor

Step 2: Load your document

Supports PDFs, JPEGs, PNGs, and more!

processor = DocumentProcessor(document_path="path/to/your/quarterly_report.pdf")

Step 3: Process and Extract Data!

extracted_data = processor.process_document()

Voila! Your structured data is ready to use.

print(extracted_data)

Example Output (format can be customized within the pipeline):

{

"document_type": "Invoice",

"invoice_number": "INV-2023-001",

"vendor_name": "Acme Corp",

"total_amount": 1234.50,

"items": [

{"description": "Product A", "quantity": 2, "unit_price": 500.00},

{"description": "Service B", "quantity": 1, "unit_price": 234.50}

]

}

🚀 Ready to use this in production? Get the full source code on Gumroad