Document analysis

Document Intelligence

Our Document Analysis platform is a comprehensive document intelligence solution that transforms unstructured documents into structured, actionable data. Using advanced NLP techniques including Named Entity Recognition (NER), knowledge graphs, and LLM reasoning, the system can read, classify, summarize, and extract key information from various document types including PDFs, invoices, contracts, and legal documents. The platform uses transformer pipelines and Spacy for efficient processing, enabling organizations to automate document workflows and gain insights from their document repositories.

Completed20247 months

Project Overview

Client:LegalTech Corp
Duration:7 months
Team Size:10 developers
Status:Completed

Technologies Used

NEROCRtext miningknowledge graphLLM reasoningSpacytransformer pipelines

Key Features

  • Automatic document classification
  • Key information extraction
  • Document summarization
  • Knowledge graph construction
  • Multi-document analysis
  • Real-time processing capabilities

Challenges Overcome

  • Handling complex document structures
  • Extracting information from poor quality scans
  • Understanding context across document sections
  • Maintaining accuracy with diverse document types

Results Achieved

  • 90% document processing automation
  • 65% reduction in manual review time
  • 85% accuracy in information extraction
  • 50% faster document workflow processing