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Intelligent Document Processing: Turn documents into data automatically

Turn unstructured documents - forms, invoices, medical records, contracts - into structured, usable data automatically.

Key Features

Universal Extraction

Extract data from any document type including PDFs, scans, faxes, and handwritten forms

Context-Aware

Understands document structure, not just text

Confidence Scoring

Flags low-confidence extractions for human review

System Integration

Data flows directly into your EHR, claims platform, or ERP

Technologies We Use

Tesseract OCRAWS TextractAzure Document IntelligenceGoogle Document AIClaudeOpenAI GPT-4spaCyHugging Face TransformersApache TikaUnstructuredPythonFastAPI

What is Intelligent Document Processing?

IDP combines OCR, NLP, and machine learning to read documents the way a human would - understanding context, extracting key fields, and converting unstructured information into structured data your systems can use. It handles the documents your team spends hours processing manually: claims forms, lab results, invoices, contracts, and more.

Benefits

Make your AI feel native to your business: faster, more accurate, and a true competitive advantage from day one.

Process documents in seconds instead of minutes per page

Reduce data entry errors and rework

Free your team from manual document handling to focus on exceptions

Why It Matters

Your team manually reads and re-keys data from documents into systems every day - claims forms, lab results, invoices, contracts. It's slow, error-prone, and expensive. IDP automates this at scale with accuracy rates that match or exceed human data entry, and it doesn't slow down at 4pm.

What You Get

Automated extraction from any document format - PDFs, scans, faxes, handwritten forms
Validation rules that catch extraction errors before bad data enters your systems
Confidence scoring so your team reviews only the documents that need human judgment
Direct integration with your downstream systems - EHR, claims platform, ERP

How We Deliver

We start by analyzing your document types, volumes, and current processing workflow. Then we train extraction models on your specific document formats, configure validation rules, and integrate with your target systems. We launch with human-in-the-loop review for exceptions, monitor accuracy, and progressively expand document coverage as the system proves itself.

Our Process

1

Assess

1–2 weeks

Analyze your document types, volumes, and current processing workflow.

2

Build

4–8 weeks

Train extraction models on your document formats, configure validation rules, integrate with target systems.

3

Deploy

2–3 weeks

Launch with human-in-the-loop review for exceptions, monitor accuracy, expand document coverage.

Use Cases

Insurance

Claims Processing

Extract policyholder info, diagnosis codes, and amounts from claims forms automatically.

Healthcare

Medical Records Intake

Digitize patient records, lab results, and referral letters into structured EHR data.

Financial Services

Invoice Processing

Extract line items, amounts, and vendor details from invoices across formats.

Frequently Asked Questions

Common questions about Intelligent Document Processing.

Typically 90-95%+ for structured fields on common document types. Accuracy improves as the system learns from corrections.

Yes, including handwritten notes and signatures, though accuracy varies by legibility.

The system flags unfamiliar formats for human review and learns from the corrections to handle them next time.

All processing happens in your private environment. PHI never leaves your infrastructure. Full audit trails for every document processed.

NEXT STEP

See IDP in action with your documents

Private AI that works with your existing systems and delivers transparent, compliant automation. Tell us where you're stuck - we'll show you what's possible.

Accelyst AI

Knowledge Base

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