Intelligent Document Processing: Extract Data from Any Document

Documents still drive business. IDP makes them work for you automatically.

What Is IDP?

Intelligent Document Processing uses AI to:

Classify document types
Extract key data
Validate information
Route for processing

Traditional Document Processing:
Paper → Human reads → Types into system → Hours

IDP:
Paper/Digital → AI extracts → Auto-populates systems → Seconds

The Technology Stack

Component	Function
OCR	Convert images to text
NLP	Understand document meaning
ML Classification	Identify document types
Entity Extraction	Find specific data points
Validation	Check accuracy
Integration	Send to downstream systems

How IDP Works

Step 1: Ingestion

Documents arrive via:

Email attachments
Scanned files
Digital uploads
API integration

Step 2: Classification

AI identifies document type:

Invoice
Contract
Application form
ID document
Receipt
Statement

Step 3: Extraction

AI locates and extracts:

Names, addresses
Dates, amounts
Account numbers
Line items
Signatures
Custom fields

Step 4: Validation

System checks:

Data format correctness
Cross-field consistency
Business rules
Duplicate detection

Step 5: Export

Data flows to:

ERP systems
CRM platforms
Databases
Workflow systems

Use Cases

Accounts Payable

Document: Invoices Extract: Vendor, amount, line items, due date Impact: 80% faster processing

Onboarding

Documents: ID, applications, contracts Extract: Personal info, verification data Impact: Days to hours

Claims Processing

Documents: Claim forms, evidence, policies Extract: Claim details, coverage info Impact: 70% faster first notice of loss

Contract Management

Documents: Contracts, amendments Extract: Terms, dates, obligations Impact: 90% faster contract review

Mailroom Automation

Documents: All incoming correspondence Extract: Classification + routing info Impact: Same-day processing

Accuracy Rates

Document Type	Typical Accuracy
Structured forms	95-99%
Semi-structured (invoices)	90-95%
Unstructured	80-90%
Handwritten	70-85%

Platform Options

Enterprise Solutions

Platform	Strengths
ABBYY	Broad document support
Kofax	Enterprise integration
Hyperscience	High accuracy
UiPath Document Understanding	RPA integration

Cloud Solutions

Platform	Best For
AWS Textract	AWS ecosystem
Google Document AI	GCP users
Azure Form Recognizer	Microsoft shops

Specialized

Tool	Focus
Rossum	Invoice processing
Docsumo	Financial documents
Nanonets	Custom extraction

Implementation Guide

Phase 1: Assess (Week 1-2)

Identify document types
Estimate volumes
Map current processes
Define success criteria

Phase 2: POC (Week 3-4)

Select representative documents
Test platform capabilities
Measure accuracy
Estimate ROI

Phase 3: Production (Week 5-8)

Configure for your documents
Integration development
Exception handling
User training

Phase 4: Optimize (Ongoing)

Monitor accuracy
Retrain models
Expand document types
Process improvement

ROI Example

Invoice Processing

Before IDP:

Volume: 5,000 invoices/month
Manual time: 8 min/invoice
Cost: $25/hour
Monthly cost: $16,667

After IDP:

85% fully automated
15% need review (2 min each)
Platform: $2,000/month
Human cost: $2,500/month
Monthly cost: $4,500

Monthly savings: $12,167 Annual savings: $146,000 Payback: ~3 months

Best Practices

Start with high-volume documents
Accept imperfection - 90% automatic is still huge
Design exception handling - Humans review edge cases
Train continuously - Improve over time
Monitor accuracy - Track and trend

Common Challenges

Challenge	Solution
Poor scan quality	Pre-processing, scanner upgrade
Document variety	Train on representative samples
Low initial accuracy	Iterative improvement
Integration complexity	Phased approach
Change resistance	Show time savings

Ready to automate your document processing? Let’s discuss your needs.

Intelligent Document Processing (IDP): Extract Data from Any Document