# Kindle Cloud Reader OCR Scanner

Automated scanner for Amazon Kindle Cloud Reader to capture book pages for OCR and translation.

## ✅ Working Solution

The **final_working_solution.py** script successfully:
- Logs into Amazon Kindle Cloud Reader
- Navigates to the beginning of the book using Table of Contents
- Properly closes TOC overlay that was blocking content
- Scans pages with working navigation (ArrowRight method)
- Captures high-quality screenshots for OCR processing
- Successfully scanned 64 pages with clear, readable content

## Key Breakthrough Solutions

1. **Interface Discovery**: Amazon Kindle uses Ionic HTML interface, not Canvas
2. **TOC Navigation**: Use Table of Contents "Cover" link to reach beginning
3. **Overlay Fix**: Multiple methods to close TOC overlay (Escape, clicks, focus management)
4. **Navigation**: ArrowRight keyboard navigation works reliably
5. **Duplicate Detection**: File size comparison to detect page changes

## Files

- `kindle_scanner.py` - Main working scanner solution
- `requirements.txt` - Python dependencies
- `sample_pages/` - Example captured pages showing success
- `docs/` - Development history and debugging notes

## Usage

```bash
pip install -r requirements.txt
python kindle_scanner.py
```

## Book Details

- **Title**: "The Gift of Not Belonging: How Outsiders Thrive in a World of Joiners"
- **Author**: Rami Kaminski, MD
- **Total Pages**: 226
- **Successfully Captured**: 64 pages (28% - stopped by time limit)
- **Quality**: High-resolution, clear text suitable for OCR

## Results

✅ **Breakthrough achieved**: Successfully navigated to actual first page (Cover)
✅ **TOC overlay resolved**: Content now fully visible without menu blocking
✅ **Navigation working**: Pages advance properly with unique content
✅ **OCR-ready quality**: Clear, high-resolution screenshots captured

This represents a complete solution to the Amazon Kindle Cloud Reader automation challenge.