Invoice & accounts-payable extraction
Read totals, line items, taxes, and vendor details off invoices in any layout, with a citation for every value.
Docen ParseDocen Extract
THE CHALLENGE
Invoices arrive in every possible shape — emailed PDFs, scans, and phone photos, each vendor with its own layout. The numbers have to be exact, and the ones that aren't need to be caught before they hit the ledger.
THE DOCEN APPROACH
Docen parses the document, then extracts the fields you care about against a fixed schema. Every value comes back with a citation to the exact span, and low-confidence fields can be routed to a person for a closer look.
- Parse the layout so totals and tables aren't scrambled.
- Extract vendor, dates, line items, tax, and totals against a schema.
- Attach a citation and confidence to every field.
- Route only low-confidence values to a human.
extract → invoice.json
{
"invoice_no": "DX-40218",
"vendor": "Northwind Supply Co.",
"invoice_date": "2026-05-14",
"due_date": "2026-06-13",
"line_items": 12,
"subtotal": "$16,540.00",
"tax": "$1,664.50",
"total_due": "$18,204.50",
"citations": { "total_due": { "page": 1, "span": [412, 423] } }
}−93%
manual data entry
99%
totals correct
minutes
not days
[→]GET STARTED
Try it on yourown documents.
Bring a sample of the documents behind this use case and we'll show you the structured output.