The AI recognizes which supplier sent a purchase order from the header, logo, and layout, then applies consistent extraction across every vendor, so you get uniform…
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The AI recognizes which supplier sent a purchase order from the header, logo, and layout, then applies consistent extraction across every vendor, so you get uniform data without tagging or sorting files by hand.
Almost every downstream use of purchase order data is keyed on the supplier: matching invoices, grouping spend, checking prices against a contract, and loading the order against the right vendor record in the ERP. When the supplier is wrong or missing, everything built on top of it is wrong too.
Purchase orders come in as scan_0042.pdf or order.pdf from a shared inbox. Someone has to open each one to see who it is from before it can be filed or processed.
Rule-based capture tools pick a template by supplier. If the supplier is not recognized, or has changed its layout, the document falls out of the flow and into manual entry.
The same vendor prints its name differently on different documents or after a rebrand. Grouped as printed, one supplier looks like several and totals per vendor are understated.
A new remit-to address or tax ID on a purchase order can be a legitimate update or the first sign of a problem. Without a record of what each supplier normally sends, nobody notices.
PurchaseOrders reads the vendor block of each purchase order the same way it reads the rest of the document: by meaning, not by position. The supplier name is captured on every extraction, and in a batch the results are grouped by supplier without any tagging from you.
Supplier name, address, tax ID, and contact details are extracted from the header, alongside the PO number, dates, and line items.
A mixed batch is grouped by supplier on the batch page, with a document count per group, and the export carries a supplier column on every row.
If the vendor cannot be read from a document, it goes into a Supplier not detected group. The rows are still exported, so you can fix the name rather than lose the order.
When a purchase order shows a different tax ID, address, or payment terms from the last one seen for the same supplier, the old and new values are shown side by side for review.
Once the supplier is identified, the rest of the order comes through cleanly: full purchase order line item extraction for every vendor, powered by the same AI purchase order data extraction engine that needs no per-supplier template. Consistent supplier data makes it straightforward to consolidate supplier spend across orders, and the results export straight to the purchase order PDF to Excel converter. Mixed vendors in one batch are handled by bulk purchase order processing.
Clean supplier data is also the starting point for measuring vendors. Our guide to the vendor scorecard shows how to rate suppliers on price, delivery, and quality, and procurement spend analysis explains how supplier-level totals turn into savings decisions.
What is captured from the vendor block of a PO, and how each field is typically used after extraction.
| Field | Where it usually appears | Used for |
|---|---|---|
| Supplier name | Letterhead, vendor box, or remit-to block | Grouping, spend by supplier, matching to the vendor master |
| Supplier address | Vendor box or letterhead | Telling apart suppliers with similar names, detecting changes |
| Tax ID | Header or footer | Confirming the legal entity, detecting changed details |
| Contact details | Vendor box or footer | Follow-up on discrepancies and delivery questions |
| Payment terms | Header or terms section | Cash planning, spotting terms that differ from the agreement |
Which of these fields appear depends on the document. Buyer-issued purchase orders sometimes print only the supplier name and a vendor number from the buyer system.
There is no vendor list to upload and no template to pick.
Drop in orders from any number of suppliers in one upload, with whatever file names they arrived with.
The AI reads the vendor block of every PO along with the header and line items, and records the supplier name for that extraction.
The batch page groups the merged table by supplier. Check any Supplier not detected group and any changed-detail flags, then export with a supplier column on every row.
Tip: Map the supplier column to vendor IDs from your ERP vendor master before importing, so the load matches existing records.
It reads the document the way a person would, identifying the vendor block, letterhead, and remit-to details by their meaning rather than by a fixed position on the page. There is no list of known suppliers to maintain, so a vendor you have never processed before is read the same way.
No. File names and folder structure are ignored. Upload a mixed set of orders and the batch results are grouped by the supplier read from each document.
The document is placed in a Supplier not detected group and its rows are still exported. The supplier is never guessed, so you can correct the name yourself rather than find the order filed under the wrong vendor later.
On the Plus plan and above, supplier names are normalized by folding case, punctuation, and common company suffixes, so variants such as Acme Supplies Ltd and ACME SUPPLIES LIMITED are grouped as one supplier in reports.
The export gives you a supplier name on every row. Matching that name to a vendor ID is done in your spreadsheet or during the ERP import mapping, where a lookup table from name to vendor ID only has to be built once.
Yes. Scans and photos go through the same reader as native PDFs. Detection relies mainly on the printed vendor name and details rather than the logo, and a very poor scan may end up in the Supplier not detected group for manual review.
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