Upload PDF, scanned, or photographed purchase orders and the AI extracts the supplier, PO number, line items, quantities, unit prices, totals, and delivery dates. Download structured Excel or CSV in about ten seconds. No templates, no coding, and no ERP integration required to start.
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Every supplier PO that arrives as a PDF has to become structured data before anything else can happen: before it can be matched to an invoice, before spend can be analyzed, before it can be posted to an ERP. When a person does that keying, the typing becomes the bottleneck for everything downstream.
A purchase order with a real line-item table takes several minutes to type accurately. At a couple of hundred orders a month, that is days of staff time spent transcribing documents instead of managing suppliers or resolving exceptions.
Published error rates for manual data entry commonly fall in the 1 to 4 percent range. A miskeyed quantity or a transposed SKU surfaces later as an over-order, a receiving discrepancy, or a supplier dispute, and by then it is expensive to unwind.
Manual entry does not scale with order volume. The usual answer is another clerk, which turns a document problem into a permanent payroll line. Backlogs build at quarter end, exactly when the data is most needed.
Without consistent extraction, supplier spend analysis and open commitment tracking need a second round of manual work stacked on the original entry. The reporting is only as current as the last person who had time to type.
PurchaseOrders replaces manual purchase order keying with AI extraction. Upload any PDF or image PO and the AI reads every field, the PO number, supplier, ship-to, line items, and totals, into a structured Excel or CSV file you can load into your ERP.
The AI reads a purchase order the way a person does, recognizing supplier names, PO numbers, order dates, ship-to and bill-to addresses, line descriptions, SKUs, quantities, unit prices, and totals wherever they sit on the page.
A single purchase order comes back in about ten seconds, and a batch of 100 goes through in one upload rather than over an afternoon of typing.
Structured spreadsheets with consistent column headers and one row per line item, ready to import into QuickBooks, Xero, NetSuite, SAP, Sage, or any system that accepts a spreadsheet.
PDFs, scanned paper orders, photos, and email attachments all go through the same path. There are no templates to build, so a new supplier layout works on the first upload.
If the problem is the hand-typing itself, eliminate manual purchase order entry covers that lane, the process view sits on manual vs automated purchase order processing, and the cost math on reducing purchase order processing costs. Teams weighing an outsourced keying team instead should read purchase order data entry services vs AI extraction. Accuracy on the item table comes from purchase order line item extraction, backlogs from bulk purchase order upload, and the output routes from PDF to Excel, PDF to CSV, and importing purchase orders to your ERP.
Both end with purchase order data in a spreadsheet. The difference is who reads the document, and what it costs as volume grows.
| PurchaseOrders | Manual keying | |
|---|---|---|
| Reading the supplier PO | AI extracts every field | A person reads and types it |
| Time per order | About ten seconds | Several minutes with a real line table |
| Line-item table | One clean row per item | Keyed row by row |
| Multi-page orders | Captured across page breaks | More pages, more typing |
| Scanned or photographed POs | Read with built-in OCR | Retyped from the image |
| New supplier layout | Works on first upload | Read from scratch each time |
| Accuracy | Fields mapped by name, reviewed on screen before export | Published manual keying error rates run 1 to 4 percent |
| Cost as volume grows | Per document | Staff hours, then another hire |
| Output formats | Excel, CSV, JSON, API | Whatever the typist builds |
PurchaseOrders automates the data-capture step only. It does not create purchase orders, route approvals, hold budgets, perform three-way matching, or post documents to your ERP. Those stay in your ERP or procurement suite. What it removes is the transcription between a supplier PDF and structured data.
Automate your PO data entry workflow in under a minute.
Drag and drop PDF or image purchase orders, one at a time or in bulk. Multi-page POs and mixed supplier formats go through the same batch.
Tip: You can upload up to 100 purchase orders at once for batch processing.
The AI identifies the PO number, supplier name, order and delivery dates, ship-to and bill-to addresses, line items with SKUs, descriptions, quantities, unit prices, payment terms, and the grand total.
Check the extracted fields on screen against the source document, then download a clean XLSX or CSV with consistent column headers, ready to import into your ERP or procurement system.
You upload a PDF or image of a purchase order. The AI reads the document, identifies the key fields (PO number, supplier name, order and delivery dates, ship-to and bill-to, line items, SKUs, quantities, unit prices, totals), and extracts them into a structured spreadsheet. You review the result on screen and download it as Excel or CSV.
Yes. The reading and transcription step can be fully automated with AI extraction, and that is where nearly all of the manual time goes. Deciding, approving, and posting the order stay with your people and your ERP. Automating capture turns minutes of typing per order into a review that takes seconds.
Yes. PurchaseOrders combines OCR with AI vision, so scanned paper POs, smartphone photos, and image-based PDFs are read rather than returned as blank cells. Accuracy on an image depends on how legible the scan is, which is why you review the fields before exporting.
Yes. Unlike template-based tools that break when a layout shifts, the AI reads fields by meaning rather than fixed position. A one-page order and a multi-page order with dozens of line items from a brand new supplier both work on the first upload, with no setup.
Accuracy depends on document quality: a clean native PDF reads better than a low-resolution photo of a fax. Header fields are the most reliable, and long line-item tables are the hardest part of any purchase order. Extracted fields are shown on screen so you can check them against the source before export. Test any tool on your most complex PO before committing.
Yes. Upload up to 100 purchase orders in a single batch and download the results in one consolidated spreadsheet. This is how accounts payable and procurement teams clear a backlog instead of working through it one document at a time.
No integration is required. PurchaseOrders outputs Excel and CSV files with consistent column headers that you can import into QuickBooks, Xero, NetSuite, Sage, SAP, or any system that accepts a spreadsheet. Developers who want a direct feed can use the JSON output or the API instead.
No. It is the data-capture layer in front of whatever you already run. It does not create purchase orders, route approvals, hold budgets, or perform three-way matching. Procurement suites do that. PurchaseOrders removes the typing between a supplier PDF and the structured data those systems need.
Stop hand-typing POs into spreadsheets.
Compare with outsourcing the keying.
The step-by-step process comparison.
What each PO actually costs you.
Capture every line on complex orders.
