ext-data 0.1.1

AI-powered document extraction system that classifies documents and extracts structured data

ext_data

Lightweight AI-based document extraction package for automatic document classification and structured data extraction using a hybrid NLP pipeline (spaCy + GLiNER).

Features

• Multi-format support -- PDF, DOCX, PPTX, PNG, JPG
• Automatic document classification
• Hybrid extraction -- spaCy, GLiNER, regex, rules
• Line item extraction -- tables and text
• OCR support via Tesseract OCR
• Structured JSON output with confidence scores

Installation

Prerequisites

• Python 3.10 – 3.12
• Tesseract OCR installed

Install package

pip install ext_data

Or from source:

git clone https://github.com/your-repo/ext_data.git
cd ext_data
pip install -e .

Usage

Single file

python -m ext_data.main --input file.pdf

Folder

python -m ext_data.main --input documents/

Output

Results are saved as JSON:

{
  "document_type": "invoice",
  "fields": {
    "invoice_number": "INV-001",
    "vendor_name": "Company",
    "total_amount": "1000.00"
  },
  "line_items": [],
  "overall_confidence": 0.8,
  "status": "success"
}

Supported Types

• Invoice (enabled)
• Other types available in codebase (can be enabled manually)

Project Structure

ext_data/
├── main.py
├── ingestion/
├── parsers/
├── extraction/
└── output/

License

MIT