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A professional full-stack SaaS application that intelligently extracts tables from PDF documents and converts them into structured JSON, CSV, Excel, and Text formats. Designed for businesses and developers to automate complex data extraction workflows with high precision.
Architecting an intelligent Python-based extraction engine to detect complex table structures in PDFs
Implementing a secure dual-authentication system using both JWT tokens and API keys
Managing high-volume file processing and real-time conversion across multiple output formats
Building a scalable usage analytics system to track API metrics and data processing logs
Integrated high-performance Python processing scripts for reliable document data extraction
Developed a robust API key management system with built-in rate limiting and throttling
Created a modular backend architecture for independent handling of auth, conversion, and admin functions
Designed a responsive, high-performance dashboard using Framer Motion for enhanced user experience
Intelligent PDF Table Extraction (Python-powered)
Multiple Export Formats: JSON, CSV, Excel, Text
Secure API Access with up to 3 keys per user
Real-time Usage Analytics & API Metrics Tracking
Advanced JWT Auth with Token Refresh mechanism
Built-in Rate Limiting to prevent API abuse
Comprehensive Admin Panel for system-wide management
Modern Responsive UI with Lucide React & Tailwind




