How to Extract Table Data From Arabic Language PDF | Right-to-Left Text Handling
00:00 - Intro: The Challenge of Arabic PDF Tables
01:00 - Setting Up PyMuPDF & Importing Libraries
02:15 - Loading the Arabic PDF & Page Setup
03:00 - Initial Table Extraction (Right-to-Left Issue)
03:45 - Fixing Column Order with .iloc Reverse
04:30 - Data Cleaning & Final DataFrame Output
05:00 - Conclusion & Tips
Learn how to extract table data from Arabic PDFs with right-to-left text using Python. In this step-by-step tutorial, I show how to handle Arabic, Hebrew, Urdu, Persian, and other RTL (Right-to-Left) languages for accurate data extraction.
In this video, you’ll learn how to:
Extract tables and text from Arabic PDFs efficiently
Handle right-to-left reading order for proper alignment
Reverse columns in tables when needed
Clean, structure, and export data to Excel or CSV
Perfect for data analysts, researchers, and professionals working with Arabic or RTL PDF documents. Follow this guide to simplify table extraction and streamline data processing.
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