chiemekaifemegbulem / convert-jpg-to-pdf

Web-based JPG to PDF Converter project leverages the Flask web framework to create a user-friendly online tool that allows users to convert JPG images into PDF documents seamlessly. This project aims to provide a simple, efficient, and accessible solution for individuals needing a quick and convenient way to convert image files to PDF format

JPG to PDF Converter Web App

Overview

This web application allows you to effortlessly convert JPG images into a single PDF file with a sleek and intuitive user interface. Whether you need to compile multiple images into a presentation or create a digital portfolio, our JPG to PDF Converter has got you covered.

Features

• User-Friendly Interface: Easily navigate through the application with a clean, intuitive and responsive design.
• Drag-and-Drop Support: Simply drag and drop your JPG files into the designated area for quick and convenient conversion.
• Real-time Preview: Instantly preview the images you've added before converting them to a PDF file.
• Responsive Design: Enjoy a seamless experience across devices, thanks to the responsive HTML5, CSS, and Bootstrap 5 design.

Technologies Used

• Flask: A micro web framework in Python for handling backend operations and routing.
• img2pdf Module: Python library used to convert JPG images to PDF format.
• JavaScript: Enhances user interactivity and facilitates dynamic content updates.
• HTML5: Provides the structure for the web pages.
• CSS: Styles the web pages for a visually appealing experience.
• Bootstrap 5: Ensures a responsive and modern design for a consistent look and feel.

Getting Started

1. Clone the Repository

   git clone https://github.com/chiemekaifemegbulem/convert-JPG-to-PDF.git

2. Install Dependencies

   pip install -r requirements.txt

3. Run the App

   python App.py

4. Access the App Open your web browser and go to http://localhost:5000 to use the JPG to PDF Converter.

Contributing

I welcome contributions! Feel free to open issues, submit pull requests, or provide feedback to help us improve.

License

This project is licensed under the MIT License.