Process Any Document — Invoices, Contracts, Forms — With 95%+ Accuracy
Organizations process thousands of documents per employee per year. Most processing is manual. IDP uses AI to automate classification, extraction, validation, and system entry — handling structured forms, semi-structured invoices, and unstructured contracts with equal accuracy.
Manual Document Processing Is the Hidden Cost Center
Every business runs on documents. Despite digitization, most processing is manual. Traditional OCR handles structured forms but real documents vary. Template-based extraction breaks when vendors change formats. Data entry teams process manually with 2-5% error rates, creating backlogs during peaks.
AI That Reads Documents Like a Human — 100x Faster
Document classification: AI determines type and routes to the appropriate pipeline — no templates or rules. Intelligent extraction: OCR combined with LLM understanding extracts data regardless of format. Validation and enrichment: data validated against business rules and enriched from existing systems. System integration: validated data entered automatically into ERP, CRM, or accounting. Human-in-the-loop: low-confidence extractions flagged with pre-filled values.
IDP Implementation in 4 Phases
Document Analysis(1 week)
Analyze document types, volumes, workflows, and target systems. Collect samples.
Pipeline Design(1 week)
Design classification taxonomy, extraction schemas, validation rules, and integrations.
Build & Train(2-4 weeks)
Build pipeline, configure extraction per document type, implement validation, connect to target systems.
Production & Optimization(2 weeks + ongoing)
Process real documents with human review for low-confidence items. Continuously improve.
IDP Technology Stack
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IDP Use Cases
Accounts Payable
Challenge: 3,000 invoices/month from 200+ vendors — 3% error rate, 5-day processing time
Solution: Auto-classify invoices, extract header and line items, match against POs, validate totals, post to accounting
Result: Processing from 5 days to 4 hours; error rate from 3% to 0.3%; team reallocated to vendor management
Insurance
Challenge: Claims required extracting from medical reports, police reports, photos — each format different
Solution: Multi-document IDP extracting from all claim documents, cross-referencing, and populating claim forms
Result: Extraction time from 45 minutes to 3 minutes per claim; straight-through processing from 30% to 65%
Legal
Challenge: Contract review for M&A: 500+ contracts, key term extraction — 3-week manual process
Solution: Contract IDP extracting parties, key terms, obligations, and provisions into structured database
Result: Review from 3 weeks to 3 days; identified 15% more risk clauses than manual review
Healthcare
Challenge: Patient intake forms required 12 minutes manual data entry into EHR per patient
Solution: IDP processing intake forms, extracting demographics, insurance, and medical history into EHR
Result: Registration from 12 to 3 minutes; data accuracy from 94% to 99.1%
Why idataweb for Intelligent Document Processing
Modern Production Stack
Document processing runs on Next.js 16 with server-side extraction pipelines, PostgreSQL for structured data storage and audit trails, and Payload CMS 3 for document management. Self-hosted means your sensitive documents never leave your infrastructure.
AI-Native Team
We use Claude for contract analysis, invoice processing, and document extraction in our own operations. Every technique we implement for clients has been validated on our real business documents first.
Self-Hosted Infrastructure
Self-hosted on your infrastructure or ours — your data never passes through third-party SaaS platforms. Full audit trails in PostgreSQL. GDPR, HIPAA, and SOC 2 compliant by architecture, not by adding compliance as an afterthought.
End-to-End Delivery
Strategy, architecture, development, deployment, and ongoing support — all from one team. No handoffs between consultants, designers, and developers. The engineers who build your system are the same ones who maintain it.
Automation-First Operations
Our own operations are automated end-to-end: CI/CD pipelines, infrastructure monitoring with Telegram alerts, daily database backups, automated content publishing, and AI-assisted development workflows. We build automation for clients because automation is how we run our own business.
Transparent Fixed Pricing
Fixed-price projects with clear milestones and deliverables. You approve each phase before we proceed to the next. No open-ended hourly billing, no scope creep surprises. Ongoing support is a separate, transparent monthly agreement.
Frequently Asked Questions
How much does IDP cost?
Single document-type starts at $18,000-$30,000. Multi-document (3-5 types) ranges from $35,000-$60,000. Enterprise (10+ types) costs $60,000-$120,000. Per-document costs average $0.05-$0.30.
What accuracy can we expect?
Structured documents: 97%+. Semi-structured (varied invoices): 93-96%. Unstructured (contracts): 88-94%. All improve over time from corrections.
Can IDP handle handwritten documents?
Modern OCR handles clear handwriting at 85-90% accuracy. AI compensates for errors via context. Heavily cursive drops to 70-80%.
How does IDP handle unknown document types?
Unknown documents route to human review. The LLM can extract common fields from any format without specific training.
Does IDP work with our document management system?
Yes. We integrate with SharePoint, Google Drive, Box, Dropbox, and custom DMS platforms.
Ready to Implement Intelligent Document Processing?
Tell us about your needs and we'll design a custom intelligent document processing solution for your business.
Free consultation · Custom solutions · Expert team