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PDF Tools

High-Throughput Document Processing Engine

Python 3.10+FlaskFastAPIPostgreSQLCeleryRedisTesseract OCRPyMuPDF
25+
PDF Operations
1GB
Max File Size
8+
Output Formats
OCR
Text Recognition
View Code
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The Challenge

Processing large PDF files (up to 1GB) synchronously blocks the UI and frustrates users. Traditional PDF tools lack proper security for sensitive documents and don't scale well for enterprise use. I needed to build a system that could handle heavy compute loads while providing real-time progress updates.

What PDF Tools Does

Convert PDFs

To/from Word, Excel, PowerPoint, HTML, Images

Merge PDFs

Combine multiple PDFs into one document

Split PDF

Separate into individual pages or ranges

Compress PDF

Reduce file size while maintaining quality

Password Protection

Add open/edit passwords with AES-256

Add Watermarks

Text or image watermarks on documents

Async Processing Architecture

🌐
Browser
Upload
⚡
FastAPI
REST API
📬
Redis
Task Queue
🔄
Celery
Workers
🗄️
PostgreSQL
Storage
Real-time status updates via WebSockets

Performance

  • Handles files up to 1GB
  • Async processing with Celery + Redis
  • Real-time progress via WebSockets
  • Batch processing for multiple files

Security

  • AES-256 encryption
  • Password protection for PDFs
  • JWT authentication
  • Rate limiting protection