A Modern Alternative to Traditional OCR

AI Vision Document Processing for Your ERP

Legacy OCR capture tools break every time a vendor changes a layout. ESS DocumentAI uses an AI vision agentic system that reads any invoice, purchase order, sales order or packing slip with no templates — then validates it against your live data and creates the record directly in Epicor P21 or IFS.

Evaluated by 8+ distribution and manufacturing teams — the consistent verdict: “No one else is doing this.”

Traditional OCR Was Built for a World That No Longer Exists

Template-based capture platforms — DocStar, Ephesoft, and similar OCR tools — assume every document looks the same. Real vendor documents don't. The result is a treadmill of broken templates, re-keying, and downstream errors.

Templates break constantly

Every new vendor layout or format change means rebuilding a zonal template before anything flows.

Garbage in, errors out

Misread part numbers, quantities and ship-to fields propagate into picks, shipments and invoices.

It never gets smarter

Yesterday's OCR engine is exactly as accurate as today's. There is no learning, only maintenance.

A Smarter Way to Process Documents

Six reasons teams switch from OCR capture to ESS DocumentAI

AI Vision, Not Zonal OCR

An agentic system reads the whole document — labels, tables, line items, context — so it understands any vendor layout without a fixed template.

Pre-Built Pipelines

Ready-made mapping templates and pipelines for orders, POA, invoices, inventory, returns and packing slips — working automation from day one.

Writes Live to Your ERP

Validated against your live ERP data, then posted directly into Epicor P21 or IFS through our domain API layer — not just an export file.

Self-Improving

Every human confirmation strengthens the model. Accuracy compounds and manual touches drop as the system accumulates knowledge.

Conversational Review

Exceptions are handled in a chat-style interface beside the original document — accept, correct, and post in seconds instead of re-keying forms.

Private by Design

Runs in your Azure or AWS tenant. Your data is never used to train public models. Fully air-gapped, self-hosted deployment available.

AI Vision vs. Traditional OCR

Traditional OCR
DocStar, Ephesoft, etc.
ESS DocumentAI
AI vision
New vendor / layoutBreaks until a new template is builtHandled automatically on first encounter
Setup modelPer-vendor zonal templatesTemplate-free AI vision extraction
Free-text & odd layoutsMisreads or failsUnderstood in context, like a human reader
MaintenanceOngoing template rework by ITBusiness users adjust hints in an admin UI
ERP postingExport file, often re-keyedValidated and written directly into P21 / IFS
Improves over timeStaticLearns from every confirmed mapping

DocStar and Ephesoft are trademarks of their respective owners, referenced here only to describe the traditional OCR document-capture category.

Frequently Asked Questions

How is AI vision document processing different from traditional OCR?

Traditional OCR tools (such as DocStar, Ephesoft, and similar capture platforms) rely on zonal templates and pattern rules: you define where each field sits on the page, and the engine reads pixels from those zones. When a vendor changes a layout or sends a new format, the template breaks and someone has to rebuild it. ESS DocumentAI uses an AI vision agentic system that interprets the document the way a person does — understanding labels, tables, and context — so it reads any vendor format on the first encounter without a template.

Do we have to build a template for every vendor or document type?

No. That is the core difference. Because extraction is template-free, new vendors and new layouts are handled automatically. Configuration (extraction hints, field mappings, ERP lookups) is managed through an admin UI by business users — no developer involvement or code deployment required.

Which documents can it process?

Purchase orders, sales orders, invoices, purchase order acknowledgements (POA), packing slips, quotes, and inventory and returns documents. We ship pre-built mapping templates and pipelines for these document types so you start with working automation rather than a blank slate.

Does it just extract data, or does it post into our ERP?

It does both. After AI extraction, the platform validates entities (customers, ship-to locations, items) against your live ERP data and creates the record directly in the ERP — for example, an order in Epicor Prophet 21 or a customer order in IFS. High-confidence documents flow straight through; uncertain ones are routed to a person for a quick review.

Will our data be used to train public AI models?

No. The platform runs in your Microsoft Azure or AWS tenant with enterprise security and encryption. Your documents and data are never used to train public models. For the strictest requirements we offer a fully self-hosted, air-gapped deployment using open vision models on your own GPUs.

How long does it take to get started?

Because there are no templates to build and we provide pre-built pipelines for common document types, most clients see working automation in days, not months. We typically start with a focused pilot on your highest-volume document type.

See It Read Your Own Documents

Bring your messiest vendor invoice or purchase order. We'll process it live and post it into a test ERP — no templates, no setup theater.