Image to Text Automation (OCR + Desktop Automation)

A Python-based desktop automation system that extracts text from an image using OCR and automatically writes and saves the result into Notepad.

This project combines:

• Computer Vision (OCR)
• Text reconstruction using spatial logic
• Desktop GUI automation
• Window management

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Features

• Extracts text from images using EasyOCR
• Reconstructs text lines based on bounding box coordinates
• Automatically opens Notepad
• Simulates human typing
• Saves the output as a .txt file
• Prevents overwriting existing files (auto-increment naming)
• Closes unexpected popup windows during execution

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How It Works

The system follows this pipeline:

1. Load OCR model
2. Detect and recognize text from image
3. Sort detected words vertically (top → bottom)
4. Group words into lines using Y-distance threshold
5. Sort words horizontally inside each line (left → right)
6. Open Notepad automatically
7. Type extracted text
8. Save as .txt file in output directory

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Install dependencies:

pip install easyocr pyautogui pygetwindow

Technologies Used

EasyOCR (Deep Learning OCR)
PyAutoGUI (Desktop Automation)
PyGetWindow (Window Management)
Python Pathlib (Modern File Handling)