AI PDF Filler

AI PDF Filler is a Python application that automatically fills out PDF forms using AI-powered text generation. It detects empty fields in PDF documents and fills them with contextually appropriate responses based on provided information.

Features

• GUI interface for easy file selection and processing
• Automated detection of empty form fields
• AI-powered text generation for filling out forms
• Support for handling multiple-cell inputs
• Question and Answer section processing
• PDF to image conversion for processing
• Converts processed images back to PDF format

Prerequisites

Before running the application, ensure you have:

1. Python 3.7 or higher installed
2. Tesseract OCR installed on your system

Installing Tesseract OCR

Windows

1. Download the installer from the UB-Mannheim Tesseract page
2. Run the installer
3. Add the Tesseract installation directory to your system PATH
4. Update the Tesseract path in testingcode.py:

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

macOS

brew install tesseract

Linux

sudo apt-get install tesseract-ocr

Installation

1. Clone the repository:

git clone https://github.com/yourusername/ai-pdf-filler.git
cd ai-pdf-filler

2. Run the installation script to install required Python packages:

python install.py

This will install the following dependencies:

• opencv-python
• numpy
• PyMuPDF
• pytesseract
• Pillow
• transformers
• torch
• setuptools

Usage

1. Run the GUI application:

python gui.py

2. Using the GUI:
   • Select your input PDF file
   • Choose the context text file containing relevant information
   • Select an output directory for the processed files
   • Click "Start Processing" to begin

Project Structure

• gui.py - Main GUI application
• testingcode.py - Core processing logic
• install.py - Package installation script

How It Works

1. The application converts PDF pages to high-resolution images
2. It detects empty form fields using image processing techniques
3. For each empty field:
   • Identifies the field name
   • Generates appropriate text using AI
   • Fills the field with the generated text
4. Processes Q&A sections similarly
5. Converts the processed images back to PDF format

Requirements

See install.py for a complete list of Python package requirements.

Contributing

1. Fork the repository
2. Create a new branch for your feature
3. Commit your changes
4. Push to the branch
5. Create a new Pull Request

Acknowledgments

• Tesseract OCR for text recognition
• OpenCV for image processing
• PyMuPDF for PDF handling