INBAT IDP

Intelligent
Document
Processing

Transform unstructured documents into structured data with enterprise-grade AI. INBAT IDP ingests from every source, extracts key fields with confidence scoring, and syncs validated outputs to downstream systems.

Cloud by default. Private cloud or on-prem is available for enterprise deployments.

Vendor field detected • conf 99.2%
Total amount box • line-item boundary
Invoice.pdf
{
"doc_type": "invoice"
"vendor": "Atlas Supply"
"total": 1250.00
"confidence": 99.2%
}

Documents are normalized, classified, and transformed into structured outputs with confidence scoring and traceable field evidence.

INBAT IDP Architecture

Enterprise-grade intelligent document processing pipeline

Input Sources

  • Invoices
  • IDs
  • Contracts
  • Receipts
  • Scans
  • Email Attachments
Batch and live ingestion supported

INBAT Processing Core

OCR + Layout
Understanding
Classification
Document Type
Extraction
Key Fields
Validation
Data Quality
Risk & Fraud
Security Checks
Audit trails and confidence scoring on each field

Output Destinations

  • ERP Systems
  • CRM
  • Accounting
  • REST APIs
  • Webhooks
Zoho CRM
Odoo
Dynamics
SAP
JSON + webhook routing in real time

Structured JSON routed and stored in destinations

real-time sync
{ "type": "invoice", "validated": true, "confidence": 0.99 }
Zoho CRM
{ "type": "contract", "validated": true, "confidence": 0.99 }
Odoo
{ "type": "receipt", "validated": true, "confidence": 0.99 }
ERP API

ERP and CRM destinations

Live integrations
SAP
Oracle NetSuite
Microsoft Dynamics 365
Salesforce
Zoho CRM
Odoo
SAP
Oracle NetSuite
Microsoft Dynamics 365
Salesforce
Zoho CRM
Odoo

Document coverage out of the box

Invoices, receipts, forms, IDs, contracts, statements, customs papers, and mixed packets. The model can classify and split before extraction.

Invoices and receipts

IDs, passports, permits

Contracts and long forms

Fraud and tamper checks

INBAT IDP vs OCR and generic GPT

You asked for an explicit comparison grid. This table reflects the target product direction.

CapabilityTraditional OCRGeneric GPTINBAT IDP
OCR printed text Good Good Excellent
Handle simple tables Partial Good Excellent
Handle long documents Weak Good Excellent
OCR handwriting Weak Partial Good
Nested tables Weak Weak Excellent
Complex forms Weak Partial Excellent
Crossed out text Weak Weak Good
Support for 60+ languages Limited Good Excellent
AI standardization No Partial Yes
Speed at scale Good Variable Excellent
Document type classification No Partial Yes
Document splitting No No Yes
Source highlighting No Rare Yes
Visual review Basic Basic Production-ready

Monetization recommendation

Keep summary output free to drive adoption and usage loops. Charge points for higher-value actions: deep analysis, question answering over document sets, and advanced reasoning workflows.