📄 PDF to Word Converter

A Python application that converts PDF files to Word documents, preserving both text and images. This tool is ideal for transferring content from PDFs with a mix of text and images into editable Word documents.

✨ Features

• 🔹 Text Extraction: Retrieves and organizes text content from each PDF page.
• 🔹 Image Extraction: Captures embedded images from PDFs, saving them within the Word document.
• 🔹 Word Document Generation: Creates a .docx file, formatting the extracted text and images in a readable, organized structure.

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📦 Installation

Prerequisites

Ensure you have Python 3.6+ installed.

Required Libraries

Install dependencies using pip:

pip install PyPDF2 PyMuPDF python-docx Pillow

PyPDF2: Extracts text from PDF pages. PyMuPDF (fitz): Extracts images from PDF pages, including complex image formats. python-docx: Allows creation and formatting of Word documents. Pillow: Converts images to compatible formats for python-docx.

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🚀 Usage

Steps

• 1-Clone the Repository:

git clone https://github.com/kezb90/PDF_To_Word.git
cd pdf-to-word-converter

• 2-Add Your PDF:

  Place the PDF file you wish to convert in the project directory.

• 3-Run the Script:

Copy code
python main.py

• 4-Result:

  The program will create an output Word document (output_word_file.docx) with the extracted content.

Example Code Usage

# Running the conversion function
pdf_to_word("PDF.pdf", "output_word_file.docx")

📄 Output

Text: All text from the PDF is extracted and organized page by page. Images: Each image is saved and inserted in its respective location. Page Layout: The output Word document has page headers, images, and page breaks to mimic the PDF's original structure.

📁 Project Structure

pdf-to-word-converter/
├── main.py            # Main script for conversion
├── README.md          # Project README
└── requirements.txt   # List of required packages

📝 Code Overview

1. extract_text_with_pypdf2(pdf_path)

• Uses PyPDF2 to extract and organize text from each page in the PDF.

2. extract_images_with_pymupdf(pdf_path)

• Uses PyMuPDF to extract images from each page, converting them to a compatible format (PNG).

3. pdf_to_word(pdf_path, word_path)

• Combines extracted text and images into a .docx file, structuring content by page and adding page breaks.

⚙️ Error Handling

• Image Format Compatibility: Converts images to PNG format to prevent compatibility issues with python-docx.
• Missing Content Handling: Adds page headers indicating missing text or images if any are unavailable on a page.

📈 Future Enhancements

• Customizable Layout: Add options to specify page layouts and image sizes.
• Enhanced Metadata: Capture and insert PDF metadata (author, title) in the Word document.
• Progress Indicators: Add progress bars for large PDF files to improve user experience.

📜 License

• This project is open-source under the MIT License. Feel free to use, modify, and distribute it with proper attribution.

💬 Contact

For any questions or suggestions, please reach out:

• Email: m90.rahmati@gmail.com
• GitHub: @kezb90