ieatpdf: A Python-Powered PDF Toolkit Optimized for Arabic and RTL Documents

I built a free PDF toolkit that properly handles Arabic documents

Developer Baraa-hub has released ieatpdf.com, a free web-based utility designed to handle complex Right-to-Left (RTL) document processing. The system implements a zero-retention policy where all uploaded files are permanently deleted immediately after processing.

Why This Matters

Most commercial PDF tools fail to maintain the integrity of Arabic scripts, often mangling text during conversion or OCR processes. By integrating Tesseract OCR specifically for Arabic text extraction and LibreOffice for high-fidelity file conversions, ieatpdf addresses a significant gap in the document management market where RTL support remains a secondary priority for many Western-centric SaaS platforms. This technical implementation prioritizes data sovereignty by ensuring no files are stored or tracked, contrasting with traditional cloud-based PDF processors.

Key Insights

• LibreOffice is utilized as the primary engine for cross-format conversions between PDF and Microsoft Office formats.
• Ghostscript provides three distinct levels of PDF compression—Low, Medium, and High—to optimize file sizes for web delivery.
• Tesseract OCR is specifically configured for Arabic text extraction to ensure accurate RTL character recognition during conversion.
• The backend architecture is built on Python and Flask, hosted on the Railway platform for scalable deployment.
• PDF.js is integrated to provide secure, in-browser document previews without necessitating server-side caching.

Practical Applications

• Use case: Securely converting sensitive Arabic legal documents using the system’s zero-retention privacy architecture.
• Pitfall: Relying on generic OCR engines for RTL scripts which often results in mangled text and incorrect character joining.
• Use case: Batch merging and compressing high-resolution PDFs for bandwidth-constrained email environments using Ghostscript.
• Pitfall: Storing user documents in persistent storage, which increases security liability and compliance risks for developers.

References:

• https://ieatpdf.com
• https://dev.to/baraahub/i-built-a-free-pdf-toolkit-that-properly-handles-arabic-documents-20fn