Platform · Data Extraction

Intelligent extraction from any document layout

Tell DocuMind what you need — supplier names, line items, renewal clauses, declared amounts — and it finds them in any layout, any vendor, any language. No templates. No per-document configuration.

A contract with electric blue highlighted clauses and callout boxes showing extracted fields flowing into a structured data panel

Template-free

Understands documents, not just patterns

Template-based extraction breaks the moment a supplier changes their invoice layout. DocuMind's models understand what a document means — a total is a total wherever it sits on the page, and a renewal clause is recognised by its substance, not its position.

Example extraction — services agreement

{
  "document_type": "services_agreement",
  "parties": ["Aldergate Holdings Ltd", "Nidderdale IT Services LLP"],
  "effective_date": "2026-04-01",
  "renewal_clause": {
    "text": "auto-renewal for successive 12-month periods",
    "notice_period_days": 90,
    "confidence": 0.97
  },
  "liability_cap": { "value": 250000, "currency": "GBP", "confidence": 0.99 }
}

What We Extract

Purpose-trained on the documents that matter

Domain packs for finance, legal, operations and compliance — each tuned on millions of real layouts.

Invoice extraction

Supplier, invoice number, dates, currency, VAT, totals and full line items — with arithmetic checks that catch keying errors before they reach your ledger.

supplier_name invoice_number line_items[] vat_amount total_due

Contract analysis

Parties, effective and renewal dates, notice periods, liability caps, indemnities and termination clauses — each linked to the exact clause it came from.

parties[] effective_date renewal_clause liability_cap termination_notice

Application forms

Insurance, credit, tenancy and grant applications parsed field-by-field, including handwritten answers, checkboxes and attached supporting documents.

applicant_name date_of_birth requested_amount declarations[]

Reports & statements

Annual reports, bank statements and audit findings converted into structured records — figures, periods, comparatives and footnotes intact.

period revenue ebitda comparatives[] audit_findings[]

Workflow

Define once, extract forever

Schema you define

Describe the fields you need in plain English or JSON Schema. DocuMind maps them to any layout — no templates, no per-vendor training projects.

Structured JSON out

Every extraction returns clean JSON with types, confidence scores and pixel-level source references for each value.

Human-in-the-loop review

Fields below your confidence threshold land in a review queue where staff accept, correct or reject — and every correction trains the model.

99.4% field-level accuracy Per-value confidence scores Pixel-level source references Corrections retrain the model

See what DocuMind extracts from your documents

Send us a sample set and receive structured JSON output — with confidence scores and source references — within five working days.

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