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AI/MLEnterprise

NLP Document Processing Platform

Intelligent document understanding with OCR, entity extraction, and automated classification.

Duration

8 months

Team Size

5 developers

Industry

Enterprise

Category

AI/ML

NLP Document Processing Platform

An intelligent document processing system that automates the extraction, classification, and routing of information from unstructured documents.

The Challenge

An insurance company drowned in paper:

  • Manual data entry - Staff typing info from documents
  • Processing delays - Claims taking days to enter
  • Error prone - Transcription mistakes causing issues
  • Scaling problems - Volume growing faster than staff

They needed automated document intelligence.

Our Approach

We built an end-to-end IDP platform combining OCR with modern LLMs.

Processing Pipeline

  1. Ingestion - Multi-format document intake
  2. OCR - High-accuracy text extraction
  3. Classification - Document type identification
  4. Extraction - Entity and field extraction
  5. Validation - Confidence scoring and human review

The Solution

Document Ingestion

  • PDF, TIFF, JPG, email support
  • Batch and real-time processing
  • Scanner integration
  • Cloud storage connectors

OCR Processing

  • Multi-engine OCR
  • Handwriting recognition
  • Table extraction
  • Layout preservation

AI Understanding

  • Document classification
  • Named entity recognition
  • Field extraction
  • Summary generation

Human Review

  • Low-confidence flagging
  • Correction interface
  • Feedback loop to models
  • Audit trail

Technology Stack

LayerTechnologies
OCRTesseract, Google Vision
NLPGPT-4, LangChain, spaCy
BackendPython, FastAPI
DatabasePostgreSQL, Elasticsearch
QueueRedis, Celery
FrontendReact, TypeScript

Results & Impact

The platform transformed document operations:

  • 90% less manual work for data entry
  • 98% accuracy in field extraction
  • 100K+ documents processed monthly
  • 5 minutes from scan to system entry

Document Types

Insurance Documents

  • Claims forms
  • Medical records
  • Policy documents
  • Correspondence

Extraction Fields

  • Claimant information
  • Policy numbers
  • Dates and amounts
  • Medical codes

Client Testimonial

"We eliminated our document backlog in weeks. Staff now handle exceptions instead of typing, and claims process in hours instead of days."

— VP of Operations, Insurance Company


Automating document processing? Contact us to discuss IDP solutions.

Key Results

1

90% reduction in manual processing

2

98% extraction accuracy

3

100,000+ documents processed monthly

4

5 minute average processing time

Technology Stack

PythonGPT-4LangChainTesseractPostgreSQLReact

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