Document Processing Automation

Project Overview

Python-based application to streamline document management for a title company. The application automates the periodic import of data into a local database, processing folders of image files in various formats. It intelligently organizes and merges related images into structured PDF documents, ensuring consistency and accessibility. The system reduces manual effort, enhances efficiency, and provides employees with a streamlined workflow for handling title-related documents.

Tools Used

Project Details

• Gathered requirements from the title company to understand workflow and automation needs.
• Defined key functionalities, including automatic data import, image processing, and PDF generation.
• Selected appropriate technologies and libraries for efficient implementation.
• Developed a script to periodically scan and import folders of image files into a local database.
• Implemented error handling and logging mechanisms to track import status.
• Processed various image formats using OpenCV and Pillow to enhance and standardize document quality.
• Implemented logic to identify and merge related images into structured PDF documents.
• Stored document metadata in a relational database for indexing and retrieval.
• Tested the application with real-world datasets to ensure accuracy and reliability.
• Provided documentation and user training to ensure smooth adoption.