use cases by industry

Whatever you re-key by hand, Dokyumi can extract instead.

Same schema-first pipeline, six different jobs. Define the fields you need, select that schema on the shared extraction endpoint, and stop manually transcribing invoices, pay stubs, EOBs, tax forms, leases, and dec pages.

Accounts Payable

Extract vendor, line-item, and total data from invoices and receipts — no template building, no AWS Textract setup.

InvoicesReceiptsPurchase orders

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Lending & Underwriting

Pull income and asset figures from pay stubs, bank statements, and tax returns without re-keying a single number.

Pay stubsBank statementsW-2s

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Healthcare Billing

Pull claim numbers, billed/allowed amounts, and CPT codes off EOBs and medical bills instead of re-typing them.

Explanation of Benefits (EOBs)Medical billsSuperbills

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Tax Prep

Turn client-submitted W-2s, 1099s, and 1040s into structured data — or hand clients a branded upload portal for intake season.

W-21099 (NEC / MISC / INT / DIV)1040

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Real Estate & Leasing

Pull lease terms, applicant income, and insurance details out of leases, applications, and dec pages — no per-property template work.

Lease agreementsRental applicationsRenters insurance declaration pages

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Insurance

Pull named insured, policy numbers, coverage limits, and claim details from dec pages, ACORD forms, and claims paperwork.

Declaration (dec) pagesACORD formsClaims forms

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Lending intake workflow

Assign SIC codes from applications and bank statements

Test the dedicated SIC classifier, review the evidence and confidence returned with each code, and route uncertain classifications to an underwriter.

Explore SIC classification →

Don't see your document type?

If a document has a repeatable structure, Dokyumi can probably extract it. Define your own schema, or let AI infer one from a sample document.