Upload a purchase order and the AI reads every field you match against: PO number, supplier and buyer, order and delivery dates, ship-to, every line with SKU, description, quantity, unit price, and amount, plus tax and total. Download clean Excel or CSV in seconds, with no template to build per supplier.
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A purchase order is the record procurement and AP match everything else against, so the data on it has to be exact and complete. Retyping PO numbers, line items, and quantities from dozens of supplier and buyer formats is slow, and one wrong figure breaks the three-way match and holds up payment.
Purchase orders arrive as PDFs, email attachments, printouts, and scans out of every ERP and procurement system. Template tools break the moment a customer changes their layout, so someone reads the odd ones by hand anyway.
A PO with 40 line items is 40 rows of SKU, description, quantity, and unit price to key without a slip. That is exactly the detail a person mistypes, and it is the detail matching depends on.
To match a PO to the invoice and the receipt, you need structured line-level data, not a PDF. When the PO lives only on paper or in an inbox, every match becomes a manual lookup and payment slows down.
Keying one purchase order is a minor annoyance. Keying hundreds a month is staff time you do not get back, plus a steady error rate that shows up later as disputes and reconciliation work.
Upload the purchase order and the AI reads it the way an experienced buyer would, then returns the header and line-level fields your ERP and matching process need as clean columns.
Capture the purchase order number, supplier and buyer, order date, requested delivery date, ship-to and bill-to, payment terms, and currency as named fields ready to import.
Each line with SKU or part number, description, quantity ordered, unit price, and extended amount, plus tax, freight, and the order total. The full record your match depends on.
AI identifies fields across thousands of formats without a template, so a purchase order from a new customer or a different ERP just works on the first upload.
Drop a folder of purchase orders, native PDFs, and scans together and get back one consolidated Excel or CSV, ready to feed procurement, AP, or an ERP import.
One PO takes under 10 seconds. A full queue takes minutes.
Drag in one PO or a batch straight from your email or shared folder. Native PDFs, scans, and phone photos all work, including multi-page purchase orders.
Tip: Upload mixed file types together; there is no need to separate scans from native PDFs first.
The AI identifies the PO number, supplier and buyer, dates, ship-to, every line with SKU, description, quantity, unit price, and amount, plus tax and total.
Export a structured Excel or CSV with consistent headers, ready to import into your ERP or to match against the invoice and receipt without retyping.
From a single buyer keying orders to a procurement team processing thousands a month.
Pull PO numbers, line items, and quantities into structured data to track orders and feed the ERP without manual entry.
Turn incoming purchase orders into clean line-level data so the three-way match against the invoice and receipt runs on structured fields.
Capture SKU, quantity, and delivery dates off customer POs to plan fulfillment and reconcile what was ordered against what shipped.
Get order data in columns for commitment tracking and spend analysis instead of reading each PO PDF by hand.
Purchase order data extraction uses AI to read a purchase order and return its fields as structured columns: the PO number, supplier and buyer, order and delivery dates, ship-to, and every line with SKU, description, quantity, unit price, and amount, plus tax and total. Instead of a buyer or AP clerk keying each field off a PDF, you upload the file and download a clean Excel or CSV in seconds. It reads native PDFs, scans, and photos from any layout, with no template to build. Last updated July 2026.
A purchase order is the buyer's formal offer to purchase, and it carries the header and line detail every downstream step depends on. The header holds the PO number, the supplier and buyer names and addresses, the order date, the requested delivery date, ship-to and bill-to, payment terms, and currency. The body is the line table: part number or SKU, description, quantity ordered, unit price, and extended amount, followed by subtotal, tax, freight, and total. Extraction returns each of those as its own field, so the record is ready to import rather than ready to retype. For the full picture of what the AI captures across any document, the invoice data extraction software page lists the fields, and invoice line item extraction covers pulling the full line table with quantities and unit prices.
Accounts payable pays against a match: the purchase order says what was ordered, the receipt says what arrived, and the invoice says what the supplier billed. That match only runs on structured, line-level data. When the PO is a PDF in an inbox, every comparison is a manual lookup, and mismatches surface late as disputes. Extracting the PO into consistent columns lets you line it up against the invoice and receipt automatically. Our guide to three-way matching walks through how the three documents reconcile, and the invoice data capture software page explains how the AI reads any format without a template per vendor.
Extraction is one step in the procure-to-pay workflow. Once the fields are in a spreadsheet, you can import them into an ERP, match them against the supplier invoice, and track the commitment against the budget. Many purchase orders arrive as email attachments, so it helps to pull data straight from incoming email with mailparse.ai before it reaches your queue. To keep POs, receipts, and approvals organized after extraction, dedicated purchase order management software holds the order lifecycle in one place, and once a matched invoice is ready to pay, accounts payable automation from autopayables.com handles approval and payment. For document types beyond invoices and POs, docuocr.com handles general document data extraction. To move the extracted data into a spreadsheet workflow, use the invoice PDF to Excel converter or the invoice PDF to CSV converter.
Purchase order data extraction uses AI to read a purchase order and return its fields as structured data. It captures the PO number, supplier and buyer, dates, ship-to, and every line with SKU, description, quantity, unit price, and amount, then exports a clean Excel or CSV so the order is ready to import or match instead of being retyped.
You can extract the header fields (PO number, supplier and buyer, order and delivery dates, ship-to and bill-to, payment terms, currency) and the full line table (part number or SKU, description, quantity, unit price, and extended amount), plus subtotal, tax, freight, and total. Each value is returned as its own named field.
Upload the PDF, scan, or photo to an AI extraction tool and it reads the PO number, parties, dates, and every line item, then exports a clean Excel or CSV. That replaces several minutes of manual keying per order with a quick review, and it works across any supplier or ERP layout without a template.
Purchase order OCR reads the text off a scanned or image-based PO so its data can be captured as structured fields. Modern tools pair OCR with AI, so instead of returning raw text they identify which values are the PO number, line items, and totals and place them in the right columns, even on layouts they have never seen.
Yes. The AI captures each line with its SKU or part number, description, quantity ordered, unit price, and extended amount, not just the order total. Full line-item capture is what makes the extracted data usable for three-way matching and for importing the order into an ERP.
Yes. The tool exports the extracted purchase order data as a clean Excel or CSV file with consistent column headers for the PO number, parties, line items, and totals. From there it drops into an ERP import, a matching worksheet, or a spend report without a second round of data entry.
A purchase order is the buyer's request to purchase, sent before the goods ship. An invoice is the seller's bill, sent after. They share fields like line items and totals, so both extract the same way, but AP matches the two against each other, which is why clean data from each side matters.
Yes. Upload a folder of purchase orders together and the tool returns one consolidated Excel or CSV, with each PO on its own rows. Native PDFs, scans, and photos can be mixed in the same batch, which suits procurement and AP teams processing high order volumes.
Extract every field and line item to structured data.
Capture full line-item tables, not just totals.
Convert PDF invoices and POs to clean Excel and CSV.
Capture document data from any layout, no templates.
