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AI Applications

Document Intelligence

Stop manually typing information from PDFs and images. Document intelligence extracts data automatically, turning paper and scanned files into structured information.

What Is Document Intelligence?

Document intelligence uses AI to read, understand, and extract information from documents in any format. It goes beyond basic OCR by understanding context, identifying key fields, and handling variations in layout and format.

Whether you receive invoices from hundreds of vendors in different formats, contracts with varying structures, or forms filled out by hand, document intelligence can process them all without custom templates for each variation.

The extracted data flows directly into your business systems, eliminating manual data entry and the errors that come with it. Documents that used to take minutes to process manually now happen in seconds automatically.

Why It Matters

Eliminate Manual Data Entry

Stop paying people to type information from documents. Free your team for work that requires human judgment.

Improve Accuracy

AI doesn't make typos or skip fields. Data entry errors drop from percentages to near zero.

Process Documents Faster

Handle high volumes without adding staff. Process backlogs quickly when needed.

Unlock Information in Old Documents

Extract value from archived documents, scanned records, and historical files.

Enable Downstream Automation

Once data is extracted and structured, you can automate processes that depend on that information.

Common Use Cases

Invoice Processing

Extract vendor information, line items, totals, and payment terms from invoices in any format.

Contract Analysis

Identify key terms, obligations, dates, and clauses across contract libraries.

Form Processing

Process applications, surveys, and forms whether filled digitally or by hand.

Receipt & Expense Management

Capture receipt data automatically for expense reporting and audit compliance.

ID Verification

Extract information from driver licenses, passports, and identity documents for onboarding.

Medical Records Processing

Extract patient information, diagnoses, and treatment details from medical documents.

Maturity Levels

Not Started / Planning

All documents processed manually. Staff spend hours each day typing information from PDFs and images into systems.

In Progress / Partial

Basic OCR in use but requires significant manual cleanup. Template-based extraction works for standard documents but fails on variations.

Mature / Complete

AI-powered document processing handling multiple document types. High accuracy with minimal human review. Integrated with downstream systems. Continuous learning from corrections.

How to Get Started

  1. 1.
    Identify High-Volume Documents: Find document types you process frequently that require manual data entry.
  2. 2.
    Gather Sample Documents: Collect examples showing the variety of formats and layouts you need to handle.
  3. 3.
    Choose Document AI Platform: Evaluate solutions like Google Document AI, Azure Form Recognizer, AWS Textract, or specialized vendors.
  4. 4.
    Define Extraction Requirements: Specify exactly which fields need to be extracted and their expected format.
  5. 5.
    Build and Train Models: Configure or train models on your document types, refining based on accuracy results.
  6. 6.
    Implement Human Review: Set up workflows where low-confidence extractions get reviewed by people.
  7. 7.
    Integrate with Systems: Connect extracted data to your business applications for processing and storage.

Ready to Automate Document Processing?

Get expert help implementing document intelligence that handles your specific document types with high accuracy and minimal manual review.