Image-PDF Converter

A powerful and user-friendly desktop application for seamlessly converting between images and PDFs, featuring A4 standardization and advanced image management.

🌟 Features

• Image to PDF Conversion

  • Convert multiple JPG images to a single PDF
  • Automatic A4 size standardization
  • Maintains aspect ratio with white margins
  • Professional-grade output quality

• PDF to Image Conversion

  • Extract images from PDF files
  • Adjustable quality settings
  • Batch processing support

• Advanced Image Management

  • Drag-and-drop file reordering
  • Real-time image preview
  • Image rotation (90° clockwise/counter-clockwise)
  • Natural file sorting (1, 2, 10 instead of 1, 10, 2)
  • Bulk file operations

• Professional UI

  • Modern themed interface
  • Intuitive controls
  • Progress indicators
  • Status updates

📋 Requirements

• Python 3.7 or higher
• Poppler (for PDF to Image conversion)

Installing Poppler:

• Windows:

  • Download from poppler releases
  • Add to system PATH

• Linux: bash sudo apt-get install poppler-utils

• macOS: bash brew install poppler

🚀 Installation

1. Clone the repository: bash git clone https://github.com/CreatorSpark/image-pdf-converter.git cd image-pdf-converter

2. Create and activate virtual environment: ```bash

   Windows

   python -m venv venv venv\Scripts\activate

   Linux/macOS

   python -m venv venv source venv/bin/activate ```

3. Install dependencies: bash pip install -r requirements.txt

💻 Usage

Run the application: python src/image_pdf_converter.py

Converting Images to PDF:

1. Select "JPG to PDF" mode
2. Click "Add Files" or drag and drop JPG images
3. Arrange images in desired order
4. Click "Convert Files" and choose output location

Converting PDF to Images:

1. Select "PDF to JPG" mode
2. Add PDF file(s)
3. Adjust quality slider if needed
4. Click "Convert Files" and select output folder

🛠️ Technical Details

• Built with Python and Tkinter
• Uses PIL for image processing
• Implements pdf2image for PDF conversion
• A4 size standardization (8.27" × 11.69" at 300 DPI)
• Optimized image compression

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

👨‍💻 Author

Created by CreatorSpark

• GitHub: @CreatorSpark

🤝 Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

⭐ Show your support

Give a ⭐️ if this project helped you!

📞 Contact

For support or queries, please open an issue in the GitHub repository.