Document AI · Data Extraction

Extract Data From Any Business Document With AI

Turn PDFs, scans, images and complex business documents into structured data. Extract fields, key-value pairs, entities, tables and line items — without rigid templates or traditional training datasets.

Start with a sample or describe the data you need — AI proposes the structure, you refine it

Fields, key-value pairs, entities, tables and line items — in one pass

No rigid templates. No traditional model-training project required

Structured JSON / API output, ready for your systems and SAP

98.5%+ accuracy · SOC 2 Type II · ISO 27001 · On-prem, your cloud, or ours

INVOICE

Acme Supply Co.

Invoice #INV-88421

Date: 2026-03-14

Bill to: Northwind Ltd

───────────

Widget A 50 $1,250

Widget B 20 $ 640

───────────

Total $1,890

Invoice #

INV-88421

Date

2026-03-14

Vendor

Acme Supply Co.

Line items

2 rows

Total

$1,890.00

STRUCTURED OUTPUTJSON / API

{
  "invoiceNumber": "INV-88421",
  "date": "2026-03-14",
  "vendorName": "Acme Supply Co.",
  "totalDue": 1890.00,
  "lineItems": [
    { "item": "Widget A", "qty": 50, "amount": 1250 },
    { "item": "Widget B", "qty": 20, "amount": 640 }
  ]
}

98.5%+

Extraction accuracy

Minutes

To build a model

Any

Layout or format

Tables

Line items included

How it works

Understanding, not just character recognition.

Old tools recognize characters. Artificio understands the document — what each value means — guided by an extraction model you can spin up from a single sample.

Build a model

From a sample or a description

Understand

Fields, pairs & tables — by meaning

Structure

Clean, typed, structured data

Validate

Check & flag what needs review

Deliver

To your systems, incl. SAP

The difference

No traditional model-training project required.

Traditional extraction makes you assemble labeled datasets and train a model before it works — then repeat the effort every time a layout changes. With Artificio, you start with a sample document or describe the data you need, and the AI proposes the extraction structure for you to review and refine.

You stay in control of the schema — accept the AI's proposal, adjust it, or define it yourself. No labeling project, no data-science team standing between you and structured data.

Traditional training approach

Assemble labeled datasets, train a model, evaluate, retrain. New document type or layout? Much of the effort starts over.

Artificio

Start from a sample or a description. The AI proposes the fields and tables; you review and refine. Live quickly, reusable everywhere.

Build an extraction model

Two ways to tell Artificio what to capture.

Create a reusable extraction model in minutes — let the AI design it from your document, or define the schema yourself. No labeling, no training runs.

Upload a sample, or just describe it

Drop in one example document — or describe what you want in plain language — and the AI analyzes it and proposes the schema for you: field labels, tables, and instructions, right in a chat workspace.

AI-detected from your document

CategoryInvoice ✓

vendorNamelabel · text

totalDuelabel · amount

taxAmountlabel · amount

lineItemstable · 4 cols

partNumber · description · quantity · unitPrice

Define the schema yourself

Already know your fields? Build the model directly in a structured form: model identity, labels with types, table headers and columns, plus instructions for the AI — ideal when you know exactly what you want.

You define

Labelsname, type, description

Tablesheaders & columns

Model typeAI vision · or text

Instructionsper label & per table

choose vision for scans & complex layouts, text for clean digital docs

One model, used everywhere

Build the model once. Reuse it across everything.

An extraction model isn't a one-off — it becomes a building block the rest of your automation draws on.

Reusable

Workflows, automations & APIs

The same model powers your document workflows, scheduled automations, and API calls — define what to capture once, use it anywhere.

Data Views

Upload, and see the data

Every model creates a Data View — upload documents there and the extracted fields and tables show up as structured, reviewable data.

Governed

Review before it flows on

Extracted data is validated and reviewable, so what moves downstream into your systems is checked — not passed through blindly.

What it extracts

Fields, pairs, and the tables everyone else struggles with.

Key-value

Key-value pairs

Invoice numbers, dates, amounts, names, IDs — pulled by meaning, wherever they sit on the page.

Tables

Complex table line items

Multi-column and nested tables, split across pages — line items extracted cleanly, not mangled into one blob.

Any layout

Varied layouts, one model

Because it understands rather than pattern-matches, a single model handles the layout variations real vendors send — not one rigid template per format.

Validation

Checks as it extracts

Values are validated against your rules and sources, and anything uncertain is flagged for a quick human check.

Scale

A few or a few million

The same accuracy whether you process a handful of documents or run high volume across the business.

Deployment

Where your data must live

Run on-premises, in your cloud, or in ours — your documents and data stay in the environment you choose.

Why Artificio

Why teams choose Artificio for document extraction.

No rigid templatesHandles varied and changing layouts, not one fixed template per format.

AI-assisted schema creationPropose the extraction structure from a sample or a description, then refine.

Fields + entities + tables + line itemsThe full document, not just a few header fields.

Complex & changing layoutsReal-world documents from many vendors, sources and formats.

Field-level confidenceSee how sure the AI is on each value, so review focuses where it matters.

Structured JSON / API outputClean, typed data ready to consume programmatically.

Human review available downstreamRoute uncertain values for a quick check before they flow on.

Enterprise workflow readyFeed workflows, automations, APIs and systems like SAP.

Named Entity Recognition

Named entity recognition & semantic extraction.

Beyond fixed fields, Artificio recognizes the entities inside your documents — and how they relate. It identifies organizations, people, products, identifiers, dates and amounts by meaning, and captures the relationships between them, so what you get is structured, semantically-typed data rather than loose text.

OrganizationsPeopleProductsIdentifiersDatesAmountsLocationsRelationships

Any document, any format

Built for the documents your business actually gets.

From clean digital PDFs to scanned, photographed, and messy real-world documents.

InvoicesPurchase ordersContractsReceiptsFormsBills of ladingFreight invoicesLoan applicationsBank statementsRemittancesID documentsCertificates of analysisPacking listsClaims & policies

PDFJPG / JPEGPNGDOC / DOCXXLS / XLSXCSVTXTScans

Extraction that acts

Don't just extract it — post it into SAP.

Extraction is the first step. Artificio validates the data against your SAP business context and executes the transaction — invoices, orders, master data — so the document turns into a posting, not a spreadsheet someone re-keys.

Explore SAP Automation→

Why teams switch

Less manual entry. Better data. Faster downstream.

Cut manual entry

Automate the keying that eats your team's day.

Higher accuracy

AI understanding beats manual re-typing and brittle templates.

Faster processing

Documents become structured data in seconds, at any volume.

Lower cost

Less rework, fewer errors, less time spent per document.

Cleaner downstream

Validated data means fewer errors in the systems it feeds.

No setup drag

No templates or training to build and maintain.

Scales with you

From a few documents to millions, same performance.

Secure by design

Enterprise security and your choice of deployment.

Reviews

What customers say.

"It reads formats we've never set up before and just gets them right. Our data extraction went from a daily chore to something we barely think about."

"As a logistics company we deal with complex documents every day. The table extraction alone streamlined our workflows and freed the team for real work."

"We use it for loan applications in banking. Accurate, fast, and the validation means far fewer errors reach our downstream systems."

FAQ

Common questions.

What is AI document data extraction?

AI document data extraction is the process of turning unstructured business documents — invoices, contracts, forms, statements — into structured, usable data. Instead of matching fixed positions on a template, Artificio's AI reads and understands the document, identifies the fields, entities, tables and line items it contains, and returns them as clean, typed data you can consume in a system or an API.

Does Artificio require templates?

No. There are no rigid, position-based templates to build or maintain. You create a lightweight extraction model that describes what to capture — and because the AI understands documents by meaning, a single model handles the layout variations real vendors and sources send, rather than breaking when a layout shifts.

Can it extract tables?

Yes — this is a core strength. Artificio extracts multi-column and nested tables, including line items that span multiple pages, and keeps the row-and-column structure intact instead of flattening everything into one block of text.

What document formats are supported?

PDF, JPG/JPEG, PNG, DOC/DOCX, XLS/XLSX, CSV and TXT — including scanned and photographed documents, not just clean digital files. It's built for the messy, real-world documents your business actually receives.

Can I define my own extraction schema?

Yes — two ways. Start with a sample document or describe the data you need, and the AI proposes the schema (labels, tables and instructions) for you to review and refine. Or, if you already know your fields, define the schema yourself in a structured form — model identity, labels with types, table headers and columns, and per-field instructions — for full control. No traditional model-training project either way.

How is extracted data returned?

As structured JSON, available through the API, and as a Data View inside the platform where you upload documents and see the extracted fields and line items as reviewable data. From there it can flow into workflows, automations, and downstream systems — including posting into SAP. Uncertain values can be routed for human review before they move on.

What's the difference between the AI vision and text model?

When you build a model you can choose how it reads documents. The vision model is best for scanned, photographed, or visually complex documents where layout matters. The text model is efficient for clean, digital documents. You can also add per-label and per-table instructions to guide the AI on any tricky value.

Where does my data run?

On-premises, in your cloud, or in ours — your choice. Your documents and extracted data stay in the environment your governance requires, and everything runs with enterprise security (ISO 27001, SOC 2 Type 2, GDPR).

See it on Your Document

See it extract your hardest document.

Bring a real document — a messy invoice, a multi-page table, a scanned form. We'll show it read, structured, validated, and ready for your systems.

Request a demo →See it on Your Document