PO Parser
Purchase Order Extraction System
Intelligent Document ProcessingIntelligent Operations & Automation
Services
Intelligent Document Processing & Database Management
Category
Manufacturing
Client
Bernardo Manufacturing
Problem
The client needed to extract detailed information from multiple purchase order formats while preserving field positions and document structure for manufacturing workflows.
Solution
Polaris implemented a layout-aware OCR system capable of extracting data with coordinate mapping and positional accuracy. A structured database and APIs were designed to integrate seamlessly with existing manufacturing systems.
Outcome
Accurate extraction across diverse PO formats
Preservation of layout and coordinate metadata
Centralized database for manufacturing operations
Automated data entry and workflow integration
Technical Details
Deterministic Extraction Engine: Engineered a robust Non-AI processing pipeline to ensure 100% repeatability and predictability. By combining optical character recognition (OCR) with complex Regular Expressions (Regex), the system eliminates hallucination risks common in LLMs, delivering precise data extraction across varying document layouts.
Visual Verification Interface: Built a React-based dashboard that renders 'annotated PDFs.' The interface overlays bounding boxes on the original document to visually indicate exactly where data was extracted, allowing operators to validate accuracy at a glance.
High-Performance Backend: Developed the core logic using Python FastAPI, optimized for rapid string processing and pattern matching to handle high volumes of documents with minimal latency.
Layout-Aware Parsing: Implemented spatial analysis algorithms that map text coordinates, ensuring that data is extracted not just by content, but by its physical position on the page—crucial for processing tabular data in purchase orders.
