StatementDecoder

PDF tools

Convert a Purchase Order to Excel

Extract a PDF purchase order into Excel — line items plus the header fields (PO number, dates, totals) — and confirm the figures reconcile before you match it against an invoice.

CSVExcelJSONMarkdown

Choose a PDF (or CSV, Excel — up to 5 MB)

Three-way-match ready

PO lines in a workbook, totals verified — ready to compare against the invoice and the goods receipt.

Any supplier's layout

No templates to configure — a new vendor's PO extracts the first time.

Fields captured

PO number, order date, delivery terms and totals ride along with the line items.

How it works

  1. 1Upload the purchase order PDF.
  2. 2We extract line items and fields, and verify the totals.
  3. 3Download Excel (or CSV/JSON/Markdown).

What you download: An Excel workbook of the PO's line items and header fields, plus an on-screen totals check.

PO data extraction without vendor templates

Template-based tools want a parsing rule per supplier layout — fine at three vendors, painful at thirty. Extraction here is layout-agnostic: the line-item table is read from the document's own structure, so a supplier you've never bought from before works on the first upload.

Matching POs against invoices

Extract both documents to spreadsheets and the three-way match becomes a column comparison instead of eyeballing PDFs side by side. Each document carries its own reconcile verdict, so a total that doesn't add up announces itself before it muddies the match.

Excel for people, JSON for systems

The workbook is for humans doing the match; the JSON download carries the same lines and fields with stable keys for an ERP import or a procurement script. Both come from the same upload.

What about scanned POs?

Digital PDFs with a real text layer give exact results — we read the document's own characters and coordinates, not a picture of them. If you upload a pure scan with no selectable text, we detect it and tell you honestly instead of returning garbage rows.

Free converter

Convert your statement — and understand it too

A free account converts a statement page every day to CSV, Excel, QIF or OFX — with every transaction matched to a real merchant name, not a cryptic descriptor. No card required; files deleted after 24 hours.

No bank logins · card numbers redacted before storage · everything deleted after 24 hours

Questions

How do I convert a purchase order to Excel?

Upload the PO above — line items and fields extract, totals are verified, and the .xlsx downloads. First document free.

Can I match POs to invoices with this?

Extract both to spreadsheets and compare — each carries its own totals verdict, so discrepancies surface fast.

Different suppliers, different layouts?

Handled — extraction is layout-agnostic, with no per-supplier template to build.

Can I process POs in bulk?

Yes — batch upload takes multiple PDFs or a zip, each returning its own verdict.

Are files stored?

Files are never stored — the original is deleted within 24 hours, parsed data follows your plan's retention window, and you can delete everything instantly. Card and account numbers are redacted before anything is saved.

More PDF tools

Converting a bank statement instead? Use the bank statement converter — it adds merchant names, categories and reconciliation.