Arabic Text OCR with Alqare Web Tool

Table of Contents

1. What This Is About
2. Why This Matters
3. Technologies Used
4. Quick Start
5. How to Contribute

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📚 What This Is About

Automates Arabic text extraction from images using Alqare by ARBML. Extracted text is saved in an output file.

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🌟 Why This Matters

Enriches Arabic content and utilizes machine learning capabilities for Arabic text OCR.

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🛠 Technologies Used

• Python 3.x
• Requests: For making HTTP requests.
• Beautiful Soup 4: For parsing HTML and extracting information.
• Selenium WebDriver: For automating web tasks.
• ChromeDriver: For interfacing with Google Chrome.
• Alqare Web-based OCR: For Arabic OCR.

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🚀 Quick Start

1. Run the First Cell: Installs necessary Python packages.
2. Specify Image Folder: Update 'FOLDER PATH' in the code.
3. Run All Cells: To kick off the automation.

📝 Note: Make sure ChromeDriver is in your system's PATH and compatible with your installed Chrome Browser.

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🤝 How to Contribute

Feel free to fork; PRs are welcome!