Docyield's accounts payable OCR captures supplier invoices into structured data ready for your AP process. Upload a PDF or image and get back the vendor, invoice number, purchase-order reference, dates, line items, tax, and total — as Excel, CSV, or JSON — so invoices move toward approval and payment without manual data entry.
Accounts payable is where invoice data goes to be acted on, not just stored. The fields that matter are the ones that drive coding, matching, and payment: who to pay, how much, by when, against which PO, and to which account. Docyield extracts exactly those, and returns them consistently across every supplier and template you receive.
What accounts payable OCR does
AP automation starts with turning an incoming invoice into data. Docyield reads each supplier invoice — native PDF, scan, or photo — and extracts the header fields and line items as a structured record. Because the output follows a fixed schema, the vendor is always in the vendor field and the total is always the amount payable, which is what lets the data feed an approval workflow or an import into your finance system.
The emphasis on accounts payable, rather than generic invoice reading, shows up in the fields. Alongside the usual invoice details, the extraction captures the purchase-order number for matching and a general-ledger code where the invoice carries one, so the document arrives in your process already closer to being coded and approved.
Why it beats manual keying
Manual invoice entry is slow, costly, and error-prone, and the errors are expensive: a mistyped amount or a duplicate invoice number can mean a wrong payment. Automated capture removes the keystrokes and, just as importantly, makes the data checkable. Every field can be verified against the source document instead of trusted blindly.
Two checks are particularly valuable in AP. Totals should reconcile — line items sum to the subtotal, and subtotal plus tax equals the total — and duplicate invoice numbers from the same vendor should be flagged before they are paid twice. These are precisely the validations a capture step should perform, and they catch the mistakes that are hardest to spot by eye.
Three-way matching and coding
Many AP teams match an invoice against its purchase order and the goods-received note before approving payment — the classic three-way match. Capturing the PO number and the line items from the invoice is what makes that match possible automatically rather than by hand, so quantities and prices can be compared against what was ordered and received.
Coding is the other half of the work. By surfacing a general-ledger code when the invoice provides one, and by returning clean line items when it does not, Docyield shortens the path from received invoice to coded, approvable entry. The result is a queue of invoices that are ready for a human to approve rather than to transcribe.
Who uses it
- Accounts payable teams capturing supplier invoices for approval and payment.
- Accounting firms processing invoices on behalf of multiple clients.
- Finance teams running purchase-order matching before they pay.
- Businesses moving from paper and email invoices to a digital AP workflow.
- Developers feeding invoice data into an ERP or AP tool through the Docyield API.
Reducing errors, fraud, and late payments
Manual AP is where money quietly leaks: duplicate payments, transposed amounts, invoices paid late and incurring fees, and the occasional fraudulent invoice that looks just like a real one. Capturing invoices as structured, checkable data closes several of those gaps at once. Amounts are read rather than retyped, due dates are surfaced so nothing slips past its deadline, and invoice numbers are available to catch duplicates from the same supplier.
Reconciliation checks add another layer of protection. When an invoice's line items and tax do not add up to its stated total, that is a signal worth pausing on — sometimes a misread, sometimes a problem with the invoice itself. Making that check automatic means it happens on every invoice, not just the ones someone thought to scrutinise.
Building an audit trail
Finance work has to be defensible after the fact, which means every figure should be traceable back to its source. Structured extraction supports that by keeping the captured fields tied to the original document, so an approver or auditor can see not just the value that was recorded but where on the invoice it came from.
That source-linked record is far more useful than a spreadsheet of numbers with no provenance. When a payment is queried months later, the invoice, the extracted fields, and any review or correction sit together, turning "we think this is right" into "here is the document it came from".
Working across many suppliers and templates
The defining challenge of accounts payable is variety. A mid-sized business might receive invoices from hundreds of suppliers, each with its own layout, terminology, and quirks, and that set changes constantly as suppliers come and go. A capture method that depends on building a template per supplier cannot keep up, and it breaks silently whenever a vendor tweaks its design.
Reading invoices by understanding them rather than by matching templates is what makes broad supplier coverage practical. A new supplier's first invoice is handled as competently as a familiar one, because the parser is looking for what an invoice number, a due date, and a total are — not for where a specific vendor happens to print them. That keeps the capture step working without constant maintenance.
From free tool to automated workflow
The free tool is the right place to start: upload a single invoice, see the extracted fields, and export them as CSV or Excel to import into your accounting system. It is a fast way to prove the data quality on your own real invoices before committing to anything.
When invoices arrive in volume, the Docyield API and batch dashboard take over. They process many invoices at once, return results by webhook, apply your validation rules, and route low-confidence fields to a review step — turning ad-hoc conversion into a steady, auditable AP pipeline. The schema is identical to the free tool, so what you test is what you ship.
What accounts payable OCR extracts
Each invoice is returned against a fixed AP-oriented schema. Fields that a particular invoice does not carry come back empty rather than guessed.
- Vendor
- The supplier that issued the invoice — the payee.
- Invoice number
- The supplier's invoice identifier, used to detect duplicates.
- PO number
- The related purchase-order reference, where present, for matching.
- Invoice date
- The date the invoice was issued.
- Due date
- The date payment is due.
- Currency
- The currency of the invoice.
- GL code
- The general-ledger or expense account code, when the invoice provides one.
- Line items
- Each billed row with description, quantity, unit price, and amount.
- Subtotal, tax, total
- The financial summary, used to reconcile the invoice.
How to capture an invoice for accounts payable
- 1Upload the supplier invoice — drop a PDF or image above, or click to choose a file.
- 2Let Docyield extract the vendor, invoice number, PO, dates, line items, and totals.
- 3Confirm the totals reconcile and check the PO reference for matching.
- 4Export as CSV or Excel for import, or JSON to push into your AP or ERP system.
- 5For volume, move the same extraction to the API and batch dashboard with review and webhooks.
Frequently asked questions
Processing documents at scale?
Batch upload, an extraction API, and webhooks for 100+ documents a month.