PDF Data Viewer

A Python application for viewing PDF files and extracting structured data through annotations.

Features

• High-quality PDF viewing with support for multiple pages
• Text selection and annotation capabilities
• Data extraction from PDFs with field mapping
• Date standardization for extracted data
• SQLite database storage for annotations
• CSV export for extracted data

Requirements

• Python 3.9+
• PySide6
• PyMuPDF (fitz)
• python-dateutil

Installation

1. Clone the repository:

git clone https://github.com/yourusername/pdf-data-py.git
cd pdf-data-py

2. Install the package:

pip install -e .

Usage

Run the application:

python -m pdf_data_viewer.main

Or use the entry point:

pdf-data-viewer

Data Extraction

The application supports the extraction of the following data types:

Metadata

• Document name
• Customer name
• Buyer name
• Buyer Email
• Buyer Phone
• Buyer Job Position
• Currency
• RFQ date
• Due date

Line Item Data

• Line item number
• Material number
• Part number
• Description
• Full description
• Quantity
• Unit of measure
• Requested delivery date
• Delivery point
• Manufacturer name

Development

Project Structure

pdf-data-py/
├── data/                     # Data directory
│   ├── annotations.db        # SQLite database file
│   └── exports/              # CSV export directory
└── pdf_data_viewer/          # Main package
    ├── core/                 # Core functionality
    ├── database/             # Database operations
    ├── ui/                   # User interface
    └── utils/                # Utility functions

Building from source

python setup.py build

License

MIT License