Extract data from purchase orders

Drop a PO PDF and get the header (PO number, buyer, supplier, dates) plus every line item with SKU, description, quantity, and price — ready for an ERP import or a spreadsheet.

Drop a PDF or image here, or click to browse
Max 20 MB per file · PDF, PNG, JPG, WEBP, HEIC
Pro: drop up to 25 files at once for bulk extraction
What to extract from this purchase order?
or describe it yourself
Extracting po header

Why this matters

PO formats differ by buyer: SAP-generated POs, Oracle, NetSuite, and homebrew Excel templates all look different. ExtractFox skips the per-template setup and returns the same stable schema regardless of the buyer's system.

How it works

  1. Step 1
    Upload the PO PDF

    Single or multi-page POs, generated by any ERP or sent as a scanned signed copy.

  2. Step 2
    Pull header and line items

    PO number, buyer, supplier, ship-to, dates, terms, plus every line as a row with SKU, description, qty, unit price, amount.

  3. Step 3
    Send to your ERP or Excel

    JSON for ERP/AP system import, .xlsx for a procurement spreadsheet.

Common use cases

PO acknowledgement workflow — confirm header and lines match the quote
AP three-way matching — PO vs invoice vs receipt
Supplier portal data entry — turn PDF POs into structured rows
Procurement analytics — categorize spend across many POs

Sample output

Example: 2-line purchase order

po_numberPO-2026-00482
po_date2026-04-22
buyerAcme Corp.
supplierBeta Industries Inc.
ship_to1200 Market St, San Francisco, CA 94103
currencyUSD
incotermsFOB Origin
delivery_date2026-05-15
subtotal1820
tax145.6
total1965.6
line_items
lineskudescriptionquantityunit_priceamount
1WGT-100Widget, 4-inch, blue5002.41200
2WGT-150Widget, 6-inch, red2003.1620

Frequently asked questions

How do I extract purchase order data from a PDF?+

Upload the PO here. ExtractFox returns header fields (PO number, buyer, supplier, dates, terms) and every line item as a row. Download as Excel or JSON.

Does it work for POs from SAP, Oracle, NetSuite, or QuickBooks?+

Yes. The model recognizes PO structure regardless of the originating ERP. No per-source template required.

Can it match POs against invoices for three-way matching?+

Run extraction on both the PO and the invoice, then compare line items, totals, and references. The stable schema makes the comparison a straightforward JSON join.

What about scanned or signed PO copies?+

Scanned PDFs and signed copies work. Signature blocks are ignored unless you ask for them. Image quality affects accuracy — clear scans give cleaner results.

Can I bulk-process many POs?+

The web app processes one PO at a time. Bulk processing is on the paid plan via the REST API.

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