Neural Document Processing

Overview

A comprehensive AI system for processing and understanding documents across various formats and languages.

Key Features

• Multi-Modal Processing: Combines vision and language models
• OCR Integration: Advanced text extraction from images and PDFs
• Intelligent Summarization: Context-aware document summaries
• Entity Recognition: Extraction of key information and entities
• Multilingual Support: Processing documents in 40+ languages

Technology Stack

• PyTorch, OpenCV, Tesseract
• BERT, LayoutLM, Donut
• spaCy, Transformers
• FastAPI, Redis, MinIO

Processing Pipeline

1. Document Ingestion

   • Format detection and conversion
   • Quality assessment and enhancement
   • Layout analysis

2. Content Extraction

   • OCR with confidence scoring
   • Table and figure detection
   • Structured data extraction

3. NLP Analysis

   • Named entity recognition
   • Sentiment analysis
   • Topic modeling

4. Output Generation

   • Structured JSON output
   • Executive summaries
   • Key insights extraction

Applications

• Legal document analysis
• Financial report processing
• Academic paper summarization
• Insurance claim processing

Performance

• 98% accuracy on standard datasets
• Processing 1000+ pages per minute
• Support for 50+ document formats