OCR reads text. Document AI understands documents and processes them end-to-end. Here's the difference in practice.
| Capability | Generic OCR API | XPndAI Custom Document AI |
|---|---|---|
| Document classification | ❌ You handle it | ✅ Auto-classifies 50+ document types |
| Field extraction | ❌ Raw text dump | ✅ Structured JSON with confidence scores |
| Validation rules | ❌ None | ✅ GSTIN check, FOIR calc, date validation |
| Human review workflow | ❌ Not included | ✅ Built-in exception queue + reviewer UI |
| ERP / LOS / CRM push | ❌ You build the integration | ✅ Direct push to Tally, SAP, LOS, CRM |
| Audit trail | ❌ No logging | ✅ Full extraction history + reviewer notes |
| On-premise deployment | ❌ Cloud only | ✅ Cloud, VPC, or on-premise |
| Custom model training | ❌ Generic model | ✅ Trained on your document formats |
Every system XPndAI delivers covers the full pipeline — from document in, to structured data out.
Accepts PDFs, scans, photos, emails, WhatsApp forwards, SFTP drops, API uploads. Handles scanned documents, native PDFs, multi-page files, and mixed batches.
AI classifies each document by type (invoice, bank statement, KYC, contract, claim form) and sub-type (salary slip vs payslip vs Form 16) — with 96%+ accuracy on your specific document corpus.
Extracts the fields your workflow needs — not generic text dump. GSTIN, invoice totals, line items; or FOIR, salary credits, EMIs; or party names, contract dates, termination clauses. Returns structured JSON.
Business rule engine checks extracted data: GSTIN validity via GST API, mathematical totals, date logic, mandatory field presence, cross-document consistency (e.g. bank statement balance vs claimed income). Flags discrepancies automatically.
Low-confidence extractions and validation failures route to your reviewer queue. Built-in UI shows original document alongside extracted fields — reviewer confirms or corrects with one click. Full audit log of every decision.
Pushes validated, clean structured data to your downstream systems: Tally, SAP, Oracle, LOS (Nucleus, Finezza), LMS, CRM (Salesforce, Zoho), or custom internal APIs. No manual entry, no copy-paste.
Every document processed, every extraction made, every human correction recorded. Exportable audit logs for RBI/SEBI compliance, SOC 2, or internal ops review. Real-time dashboard showing throughput, accuracy, and SLA.
Managed deployment on your preferred cloud. Auto-scaling for volume spikes. Data stored in your own cloud account — not on our servers. Suitable for most enterprise clients.
Completely isolated cloud environment inside your AWS VPC or Azure VNET. No data leaves your network boundary. Suitable for BFSI and healthcare with strict data residency requirements.
Deployed on your own servers — no cloud dependency, no external API calls. Suitable for government, defence, and regulated enterprises. Supports air-gapped environments.
UAE clients: AWS Bahrain (me-south-1) and Azure UAE North available for data residency compliance.
Document sample collection, field mapping workshop, system integration audit. Delivery: Technical Architecture Document + fixed-price proposal.
Working extraction pipeline on 1–2 document types. You test it on your real samples. Go / no-go decision before full implementation commitment.
All document types, validation rules, human review UI, ERP/LOS integration, audit logging, dashboard. UAT with your team.
Go-live with your team. Model retraining as new document variants appear. Monthly accuracy reports. Annual maintenance contract optional.
You own the system, the code, and the models. No per-page fees, no vendor lock-in after delivery.
UAE/GCC pricing: AED 50k – AED 200k. Need a pay-per-page OCR API instead? →
Custom Document AI development means building an end-to-end intelligent document processing system for your specific document types and workflows — not using a generic OCR API. It includes document classification, data extraction, validation rules, human-in-the-loop review, integration with your ERP/LOS/CRM, audit trails, and compliance controls. The result is a production system your operations team uses daily, not a developer tool.
OCR converts an image to text. Document AI goes further: it classifies what type of document it is, extracts specific fields with confidence scores, validates extracted data against business rules (GSTIN check, FOIR calculation, date validation), routes low-confidence extractions to a human reviewer, and pushes structured data to your downstream systems automatically. Document AI delivers a complete workflow, not just raw text.
A Document AI POC for 1–2 document types costs ₹5L–₹8L (4–6 weeks). A full implementation covering 5–10 document types with ERP integration, human review workflow, and audit logs costs ₹15L–₹40L. Enterprise platforms with custom model training, on-premise deployment, and multi-region support start at ₹40L. UAE/GCC pricing: AED 50k–200k.
XPndAI builds Document AI for: financial documents (invoices, bank statements, P&L, ITR, Form 16), loan documents (KYC, salary slips, bank statements, property papers), trade finance (LC, Bill of Lading, packing lists), insurance (claim forms, hospital bills, policy documents), legal (contracts, agreements), pharma (CTD, PSUR, CSR, clinical trial documents), and custom industrial documents.
Yes. XPndAI deploys Document AI on your own cloud VPC (AWS, Azure, GCP), private cloud, or on-premise servers. This is important for BFSI, healthcare, pharma, and legal clients who cannot send documents to third-party APIs. We also support air-gapped deployments for government and defence clients.
Start with a free assessment. We'll review your document types, current workflow, and integration requirements — then scope a fixed-price system that actually works in production.