PDF Orca

Project Overview

PDF Orca is an advanced document processing platform that combines OCR (Optical Character Recognition) capabilities with comprehensive PDF manipulation tools for efficient document management workflows.

Key Features

• Advanced OCR: High-accuracy text extraction from scanned documents and images
• Document Conversion: Convert PDFs to various formats (Word, Excel, PowerPoint, images)
• Batch Processing: Handle multiple documents simultaneously for enterprise workflows
• Document Management: Organize, search, and categorize processed documents

Technical Implementation

The platform uses Python FastAPI for OCR processing and document manipulation, with Next.js providing the user interface. Docker ensures consistent deployment and scaling capabilities.

OCR Capabilities

• Support for multiple languages
• Handwriting recognition
• Table extraction and formatting
• Image enhancement for better accuracy
• Confidence scoring for extracted text

Automation Features

• Scheduled batch processing
• API integration for automated workflows
• Custom extraction templates
• Workflow automation with conditional logic

Impact

PDF Orca has streamlined document processing for numerous organizations, reducing manual data entry time by up to 80% and improving data accuracy significantly.