Extract structured JSON data from unstructured invoices, contracts, IDs, and financial statements with 99%+ accuracy.
Intelligent Document Processing (IDP) utilizes multi-modal AI, Computer Vision, and Large Language Models to automatically extract structured data from unstructured documents.
Manual document data entry for invoices, tax forms, legal contracts, and shipping receipts is notoriously slow, expensive, and prone to human typos.
HTCortex IDP engines eliminate manual data entry, parsing unstandardized PDFs and scans into validated JSON data ready for direct sync into your ERP or CRM.
| Feature Vector | Legacy Template OCR (Kofax, ABBYY) | Custom LLM-Powered IDP Engine |
|---|---|---|
| Layout Adaptability | Requires building manual bounding-box templates for every vendor invoice format. | Zero-shot layout understanding. Extracts fields from unseen document formats automatically. |
| Handwriting Recognition | Fails completely on handwritten notes or blurry mobile scans. | Advanced multi-modal vision models accurately parse handwritten fields and low-res photos. |
| Complex Table Extraction | Messes up multi-page line-item tables spanning across page boundaries. | Native table parsing algorithms reconstructing multi-page line items into clean JSON arrays. |
| System Integration | Standalone desktop software producing isolated CSV exports. | API-first cloud microservice pushing parsed data directly into your ERP/CRM. |
| Processing Speed | Slow batch queues taking minutes to process document batches. | Sub-second per-page extraction via parallel GPU inference pipelines. |
Architected to automate high-volume document workflows across finance, logistics, and legal.
Pre-process documents, removing noise, skew, and artifacts for crystal-clear character recognition.
Extract complex key-value pairs, dates, amounts, and tax numbers without rigid format templates.
Extract complex line-item tables from multi-page PDFs, preserving row/column mathematical integrity.
Detect digital image manipulation, font mismatches, and duplicate invoice submissions automatically.
Assign accuracy confidence scores to extracted fields, routing low-confidence data to human reviewers.
Automatically post verified document data into SAP, QuickBooks, Odoo, or custom databases.
Yes. Our LLM-powered engine understands semantic context, extracting required fields regardless of layout.
The engine assigns a low confidence score and routes the document to a human review queue for quick confirmation.
Yes. Documents are processed in isolated memory without being used for public AI model training.
Architect high-performance enterprise systems tailored to your business model with zero license fees.