PDF Summarizer

This project extracts text from PDFs (both regular and scanned) and summarizes the extracted content using AI-powered text summarization.

Features

• Extracts text from normal PDFs using PyMuPDF (fitz).
• Extracts text from scanned PDFs using Tesseract OCR and EasyOCR.
• Preprocesses images for better OCR accuracy.
• Summarizes extracted text using the facebook/bart-large-cnn model from transformers.
• Handles large text inputs by processing in chunks.

Requirements

Ensure you have the following dependencies installed:

• Python 3.8+
• pymupdf
• pytesseract
• pdf2image
• easyocr
• Pillow
• torch
• transformers

Additional Requirements

• Tesseract OCR:
  Install Tesseract OCR and ensure it is correctly set up.
  Windows users may need to set the path in text_extractor.py:

  pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"

• Poppler (For pdf2image to work):
  • Windows: Install from this link and add it to the system PATH.
  • Linux: Install using:

    sudo apt install poppler-utils

  • macOS: Install using:

    brew install poppler

Installation

1. Clone the repository:

   git clone https://github.com/Tertho1/pdf-summarizer.git
   cd pdf-summarizer

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

Usage

Run the script with a PDF file as an argument:

python main.py path/to/document.pdf

To Run the gui version

python gui_main.py

Or simply run it from you IDE and choose a pdf to summarize it

Example Output

Extracting text from: sample.pdf

Extracted Text (Preview - First 1000 chars):

Lorem ipsum dolor sit amet, consectetur adipiscing elit...

Summarizing...

Summary:

- The document discusses key aspects of Lorem Ipsum.
- Various elements and structure are explained concisely.

File Structure

pdf-summarizer/
│── main.py              # Main script to run extraction and summarization
│── text_extractor.py    # Handles text extraction from PDFs (regular & scanned)
│── summarizer.py        # AI-based text summarization
│── requirements.txt     # Required Python packages
│── README.md            # Project documentation

Any contribution is appreciated.