Document Extraction Demo
See one of many Document AI capabilities in action. Upload a document and watch as we extract structured fields, checkboxes, signatures, and tables.
Your document is processed securely and not stored.
Try our Document Extraction
Enter your details to access the demo. See how we extract structured data from messy, real-world documents.
What our full Document AI pipelines add
This demo shows basic extraction. Production deployments include much more:
Document Classification
Automatically identify document types across hundreds of variations
Cross-Validation
Verify extracted values against business rules and source documents
Custom Schemas
Map extracted fields to your exact data model and business logic
Human-in-the-Loop
Review interfaces for edge cases with confidence scoring
What this demo extracts — and how
Structured field extraction from unstructured documents
Upload any business document — an invoice, mortgage form, insurance claim, tax return, or pay stub — and watch as our pipeline identifies document type, locates fields, and returns structured JSON. The demo uses the same OCR and extraction stack we deploy in production for clients processing millions of pages per year.
Behind the scenes, the pipeline combines AWS Textract for optical character recognition with custom post-processing models that handle the messy reality of scanned documents: skewed pages, handwritten fields, stamps overlapping text, and inconsistent layouts across vendors.
What makes this different from generic OCR
Off-the-shelf OCR gives you raw text. Our Document AI gives you structured, validated data — field names mapped to values, checkboxes detected as true/false, signatures identified, and tables parsed into rows and columns. The difference matters when you're feeding extracted data into downstream systems like loan origination, claims processing, or ERP platforms.
Every extraction includes confidence scores at the field level, so your team knows exactly which values to trust and which need human review. In production, this reduces manual review time by 60–80% while maintaining 99%+ accuracy on verified fields.
Documents our extraction handles in production
The demo supports the same document types we process at scale for enterprise clients.
Financial documents
Invoices, purchase orders, receipts, bank statements, tax forms (W-2, 1099, 1040), and financial disclosures. We extract line items, totals, dates, account numbers, and tax identifiers with field-level confidence scoring.
Mortgage and lending packages
Uniform Residential Loan Applications (1003/1008), appraisals, title documents, pay stubs, verification of employment letters, and closing disclosures. Our pipeline splits multi-hundred-page loan tapes, classifies each document, and extracts borrower information across the full package.
Insurance and claims documents
ACORD forms, loss runs, declarations pages, certificates of insurance, and claim submissions. We handle the unique challenges of insurance documents — dense tables, pre-printed forms with handwritten entries, and multi-page policy schedules.
Legal and compliance documents
Contracts, agreements, regulatory filings, and compliance certificates. Extraction targets key clauses, dates, party names, signature blocks, and specific regulatory identifiers.
Don't see your document type? Contact us — we've built custom extraction for dozens of specialized formats.
From demo to production in weeks, not months
This demo shows a single extraction on a single document. In production, our Document AI systems process thousands of documents per hour with automated splitting, classification, extraction, validation, and routing — all with audit trails, error handling, and human-in-the-loop review workflows.
We build on AWS (Textract, Lambda, S3, SageMaker) and deploy into your cloud account so you own the infrastructure. Typical implementations go from kickoff to production in 6–10 weeks.
Every production deployment includes a confidence-based review interface where your team handles only the documents that fall below your accuracy threshold — typically 5–15% of total volume. The rest flows straight through without human touch.
Want to see how this works for your specific documents? Read about our full Document AI service, or book a discovery call and bring sample documents — we'll show you what extraction looks like on your actual data.
Ready for production-grade Document AI?
Let's discuss your document challenges and show you what's possible.