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.
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
INBAT Processing Core
Output Destinations
- ERP Systems
- CRM
- Accounting
- REST APIs
- Webhooks
Structured JSON routed and stored in destinations
real-time syncERP and CRM destinations
Live integrationsDocument 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.
| Capability | Traditional OCR | Generic GPT | INBAT 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.