This PR implements a complete Python program that generates images with embedded text and extracts the text using OCR (Optical Character Recognition).

Features Added

• Text-to-Image Generation: Creates images with white background and black text using the Pillow library
• OCR Text Extraction: Extracts text from generated images using pytesseract
• Command-line Interface: Accepts two arguments - text to embed and output filename
• Comprehensive Error Handling: Handles missing arguments, image generation failures, and OCR processing errors
• Requirements Management: Added requirements.txt with necessary dependencies

Usage

python text_ocr.py "Hello from GitHub Copilot!" test.png

Output:

Generated image: test.png
Extracted Text:
----------------
Hello from GitHub Copilot!

Error Handling

The script includes robust error handling for:

• Missing or invalid command-line arguments
• Empty text or filename inputs
• Image generation failures (invalid paths, permissions)
• OCR processing failures (missing files, corrupted images)

Dependencies

• Pillow>=10.0.0 - For image generation and manipulation
• pytesseract>=0.3.0 - For OCR text extraction
• System requirement: tesseract-ocr package

Additional Files

• Added .gitignore to exclude Python cache files and generated test images
• Added requirements.txt for easy dependency installation

The implementation follows Python best practices with proper error handling, documentation, and modular function design.

Fixes #1.

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