Use cases

Where teams put document OCR to work

Every job below is the same job: getting the numbers and fields off a document and into a system, without anyone retyping them. Here is what that looks like in finance, operations and compliance teams.

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Accounts payable automation: Lift line items, totals, tax, and payment terms off every vendor document so your AP queue clears itself instead of piling up in a keying backlog.
Employee expense capture: Turn photographed and scanned expense documents into tidy rows for reimbursement, with out-of-policy items surfaced before anyone gets paid.
Supplier spend visibility: Roll thousands of documents into one view to see which vendors cost the most, where spend is quietly creeping, and where a renegotiation pays off.
Audit trail preparation: Hand auditors structured exports that trace cleanly from the original PDF to every figure in the spreadsheet, no shoebox of paper to reconcile.
Cross-vendor consolidation: Blend documents from dozens of suppliers, each with its own template, into a single normalized sheet ready for review and sign-off.
Year-end tax preparation: Produce categorized CSVs with VAT/GST splits and deductible totals so filing season starts with the numbers already crunched.
ERP-ready exports: Generate clean XLSX or CSV mapped to QuickBooks, Xero, NetSuite, or SAP fields, turning import from a project into a drag-and-drop.
Construction billing: Capture progress billing, retention, and change orders from contractor documents and tie every dollar back to the right project.
Healthcare billing: Read procedure codes, charges, insurance adjustments, and patient balances off medical and dental documents in a single pass.
Legal document review: Break out timekeepers, hourly rates, and disbursements from law-firm documents for tighter budget control and LEDES-ready output.
Global document handling: Standardize documents in any currency, keeping both original and converted amounts so consolidated reporting actually reconciles.
Duplicate & anomaly checks: Flag repeated document numbers, off-pattern amounts, and vendor details that don’t match before a wrong payment ever leaves the building.
Diligence data rooms: Normalize a target company’s document history into review-ready spreadsheets for financial diligence during raises and acquisitions.
Three-way matching: Line up purchase orders, supplier documents, and receiving data automatically so you approve only what was actually ordered and delivered.

Document processing software by industry

Each page below covers the documents one US industry actually handles, the fields worth pulling off them, and where the data goes next.

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