PDF and Image Text Analyzer

This application allows users to upload PDF files or images, extract text, generate summaries, break text into paragraphs, and create questions/answers for selected paragraphs.

Features

• PDF and image text extraction
• Text summarization using T5 model
• Paragraph segmentation
• Question and answer generation

Requirements

• Python 3.7+
• Tesseract OCR must be installed for image text extraction

Installation

1. Clone this repository or download the files
2. Install the required dependencies:

pip install -r requirements.txt

3. Install Tesseract OCR:
   • Windows: Download and install from https://github.com/UB-Mannheim/tesseract/wiki
   • Mac: brew install tesseract
   • Linux: sudo apt install tesseract-ocr

Usage

1. Run the Streamlit app:

streamlit run app.py

2. Upload a PDF or image file
3. View the extracted text and summary
4. Explore the paragraphs
5. Select a paragraph number and click "Generate Q&A" to create questions and answers based on that paragraph

Important Notes

• For large files, processing may take some time
• The quality of text extraction from images depends on the clarity of the image
• For optimal performance, ensure your PDF contains selectable text (not scanned images)