# PDF Musical Score Cleaner

A command-line tool for processing and cleaning scanned musical score PDFs. This tool helps you extract, deskew, optimize, and recompile PDF files while maintaining high quality and readability of musical notation.

## Features

- **Page Extraction**: Extract individual pages from PDF files
- **Deskewing**: Automatically correct page rotation using staff line detection
- **White Space Trimming**: Remove excess white space around the musical content
- **PNG Optimization**: Optimize PNG files using optipng (if installed)
- **Modular Processing**: Process your files step by step or all at once
- **High Quality Output**: Preserve image quality throughout the process

## Installation

1. Ensure you have Python 3.8+ installed
2. Install uv (recommended) or pip
3. Clone this repository:
   ```bash
   git clone <repository-url>
   cd notes_cleaner
   ```
4. Install dependencies:
   ```bash
   uv sync
   ```

5. (Optional) Install optipng for additional PNG optimization:
   ```bash
   # Ubuntu/Debian
   sudo apt-get install optipng
   
   # macOS
   brew install optipng

   # Arch Linux
   sudo pacman -Sy optipng
   ```

## Usage

The tool provides several commands that can be run independently:

### Extract Pages
```bash
./pdf_cleaner.py extract input.pdf
```
Extracts all pages from the input PDF to a temporary directory.

### Deskew Pages
```bash
./pdf_cleaner.py deskew
```
Automatically detects and corrects page rotation by analyzing staff lines.

### Optimize Pages
```bash
./pdf_cleaner.py optimize
```
Trims excess white space and optionally runs PNG optimization (requires optipng).

### Create Final PDF
```bash
./pdf_cleaner.py finalize output.pdf
```
Combines all processed pages into a final PDF and cleans up temporary files.

### Typical Workflow
```bash
./pdf_cleaner.py extract input.pdf  # Extract pages
./pdf_cleaner.py deskew            # Correct rotation
./pdf_cleaner.py optimize          # Remove white space and optimize
./pdf_cleaner.py finalize output.pdf  # Create final PDF
```

## How It Works

1. **Extraction**: Uses pdf2image to convert PDF pages to high-quality PNG images
2. **Deskewing**: 
   - Applies morphological operations to enhance horizontal lines
   - Uses Hough transform to detect staff lines
   - Calculates and corrects rotation based on detected lines
3. **Optimization**:
   - Detects content boundaries and removes excess white space
   - Optionally runs optipng for additional file size reduction
4. **Finalization**: Combines processed images back into a PDF using img2pdf

## Dependencies

- click: Command line interface
- opencv-python: Image processing and deskewing
- numpy: Numerical operations
- pdf2image: PDF to image conversion
- img2pdf: Image to PDF conversion
- optipng (optional): PNG file optimization

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

[Insert chosen license here]