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The hard part of matching isn't the comparison, it's getting clean data out of POs and invoices that every vendor formats differently. DocuPipe extracts PO numbers, line items, quantities, and totals into the same structured fields, so your ERP or AP system can run the match automatically.


MATCHED ON PO NUMBER
Why this is hard to automate
Before you can match anything, someone has to read each PO and invoice and key the PO number, line items, quantities, and totals by hand, because the data is trapped in PDFs that look different for every supplier.
Comparing a purchase order, an invoice, and a goods-receipt line by line is slow and error-prone at volume. The bottleneck is the data entry that has to happen before the comparison can run at all.
Clean, match-ready data from both sides
DocuPipe doesn't replace your matching logic, it feeds it. You define the fields you match on once, and DocuPipe pulls them from purchase orders and invoices alike into one consistent structure your ERP or AP system can compare.
PO number, vendor, line items, quantities, unit prices, totals. One schema describes the fields you match on, and it applies to both purchase orders and invoices.
Drop in documents from any vendor, including mixed-page batches. DocuPipe splits batches into individual documents and extracts each one, no per-vendor setup.
Get structured JSON or CSV keyed by PO number, ready to load into your ERP or AP system so it can run the two-way or three-way match automatically.

A PO and its vendor invoice, in different formats, extracted into the same fields keyed by PO number.
Documents we structure for matching
PO number, vendor, line items, quantities, unit prices, and totals from any purchase order format.
Invoice number, referenced PO number, line items, and totals, mapped to the same fields as the matching PO.
Received quantities and item details for the third leg of a three-way match.
Quantities, item descriptions, and references from shipping paperwork tied to the order.
Payment references and invoice numbers to tie payments back to the matched invoices.
Vendor acknowledgments of the order, matched against the PO and invoice to confirm agreed quantities and prices.
Built for speed, scale, and accuracy
per-vendor templates to build, even when every supplier formats POs and invoices differently
field-level accuracy on printed POs and invoices, verifiable with human review
mixed-page batches split into individual documents, so a stack of POs and invoices sorts itself
from upload to structured, match-ready records per document
Try one of our sample documents or upload your own
bill-of-lading.pdf
PDF FILE
export-invoice.png
PNG FILE
purchase-order-1.jpeg
JPEG FILE
purchase-order-2.png
PNG FILE
purchase-order-3.pdf
PDF FILE
Upload your own
Drag a document to the drop zone to get structured results.
Drag a sample from the left or upload your own to see how we standardize it.
Teams that put this on autopilot
Stop keying POs and invoices by hand before you can match them. Get clean, match-ready data from every vendor into your AP workflow.
Feed your existing matching logic structured records instead of PDFs, so the match runs on data your system can actually compare.
Embed extraction that turns any vendor's POs and invoices into one schema, so your matching product works regardless of document format.
Enterprise-grade security you can trust

SOC 2 Type II
SOC 2 reports are available through our trust center.
ISO 27001
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GDPR
Paid teams can select Europe as their storage region for new uploads.
DocuPipe does the part that's usually the bottleneck: it extracts PO numbers, line items, quantities, and totals from both documents into one consistent structure. The matching itself runs in your ERP or AP system on that clean data. In other words, DocuPipe feeds your match rather than replacing your matching logic.
No. DocuPipe reads documents for meaning rather than fixed positions, so one schema extracts the same fields across every vendor's PO and invoice layout, including formats you've never processed before.
Yes. DocuPipe automatically splits mixed-page PDFs into individual documents and extracts each one, so a stack of interleaved POs, invoices, and receipts becomes separate structured records without manual sorting.
Anything you define in your schema: PO number, invoice number, vendor, line item descriptions, quantities, unit prices, subtotals, taxes, and totals. You choose the fields your match depends on, and DocuPipe extracts them from both POs and invoices.
DocuPipe returns structured JSON or CSV, and exposes the same data via API and webhooks, so you can load match-ready records directly into your ERP, AP automation, or accounting system.
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