How accurate is document AI?

It depends heavily on document quality and type. Typed digital PDFs extract very reliably; phone photos and handwriting are harder. That’s why we measure on your documents in a proof of concept before promising anything.

Can it handle Ukrainian and mixed-language documents?

Yes. Modern OCR and models handle Cyrillic well; we test on your real documents, including mixed Ukrainian-English ones.

Do documents leave our infrastructure?

They don’t have to. Pipelines can run in your cloud with regional model endpoints, or with self-hosted models for strict requirements.

Guide · Document AI

Document AI: from PDFs, scans and photos to clean data in your systems.

Template-based OCR broke every time a supplier changed its layout. Modern document AI reads documents the way a person does — understanding layout and context — and returns structured data. Combined with validation rules and a fast review screen, it turns data entry into exception handling.

By Nythrex EngineeringUpdated 24 September 2026 2 min read

01
Document
PDF · scan · photo · email
02
Classify
Which type is it?
03
Extract
Fields → JSON schema
04
Validate
Rules · cross-checks
05
Review
Only exceptions
06
System of record
ERP · CRM · archive

Where document AI pays off

Accounts payable

Supplier invoices, credit notes and receipts into the ERP, matched to purchase orders.

Logistics

Waybills, delivery notes, customs documents and proofs of delivery from drivers’ photos.

Contracts

Parties, dates, amounts, renewal and termination clauses into a searchable register.

Onboarding & KYC

Company registration documents and IDs into structured profiles, with verification steps.

Insurance & claims

Claim forms, reports and supporting documents into case data.

HR & admin

Forms, certificates and applications into HR systems with appropriate access control.

How a modern pipeline works

1
Classification
Identify the document type (and split multi-document PDFs) so the right schema and rules apply.
2
Text and layout
OCR for scans and photos, with image clean-up for phone pictures; native text extraction for digital PDFs.
3
Extraction to a schema
An LLM (often a vision-capable one) returns strict JSON: header fields, line items, amounts. The schema, not a template, defines what to find.
4
Validation
Deterministic checks: line totals add up, VAT is consistent, dates are plausible, the supplier exists, the document matches an open order, it isn’t a duplicate.
5
Review
Documents that fail validation or have low-confidence fields go to a review screen showing the document and fields side by side.
6
Posting
Validated data goes into the ERP or CRM through its API, with the original attached and an audit trail.

What to measure

Metric	What it tells you
Field accuracy by document type	Where extraction is reliable and where review must stay
Straight-through rate	Share of documents posted with no human edits — the real efficiency number
Exception review time	Whether the human part is fast
Errors reaching the system of record	The safety metric; must not increase
Cost per document	OCR and model usage at your volume

See a worked scenario in Document AI for a distributor, and estimate the business case with the ROI calculator.

Frequently asked questions

Example projectDocument AI for a distributorIllustrative document AI project: invoices and waybills extracted, matched to purchase orders and posted to the ERP, with human review where it matters.GuideAI integration with BAS / 1CConnecting AI to BAS and 1C-based ERPs: integration options, document recognition, reconciliation help, natural-language reports and safe write-back.ServiceAI integrationAdd AI to the systems you run: classification, summaries, drafts, extraction and routing inside your CRM, ERP and helpdesk — securely, in your cloud.Free toolAI automation ROI calculatorCalculate hours freed, net monthly saving and payback period for an AI automation — using your own task volumes, costs and a conservative automation share.IndustryAI for logisticsPractical AI for logistics and distribution: document processing, shipment status automation, exception handling, customer communication and dispatch support.

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