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Purchase Order Parser Setup Guide

Automate purchase order processing with a custom PO Parser. Extract PO numbers, line items, and vendor details from purchase orders.

Before You Start

Before setting up your parser, ensure you have:

  1. A PerfectParser account (sign up at perfectparser.com).
  2. A healthy credit balance (each PO page processed consumes 1 credit).
  3. A sample purchase order (PDF, PNG, or JPEG) to use during the parser setup.

We suggest configuring the following schema fields for your Purchase Order Parser to capture all essential order data.

Field NameTypeDescription
po_numberTextThe unique purchase order reference number.
po_dateTextThe date the order was created.
vendor_nameTextThe company or supplier receiving the order.
customer_nameTextThe customer company placing the order.
billing_addressTextThe billing address for the invoice.
shipping_addressTextThe physical destination address for the delivery.
payment_termsTextThe payment terms agreed (e.g., Net 30, COD).
total_amountNumberThe overall total value of the order.
line_itemsTableTable containing sku, description, quantity, unit_price, and total for each row.

AI Prompt (Optional)

To help the AI parser extract field values with maximum accuracy, copy and paste the following prompt instructions into the AI Prompt (Optional) field during setup:

Extract the purchase order number, PO date, vendor name, customer company name, billing address, shipping address, payment terms, and total order value. Also extract the line items table containing the SKU/part number, description, quantity, unit price, and total line amount.

Next Steps: Build Your Parser

Ready to build this? Follow our Create a Parser guide for step-by-step dashboard instructions to set up your schema, and then learn how to process files in Bulk Extraction.


Developer Integration

If you want to automate purchase order processing programmatically inside your applications:

Looking for product features and use cases?

See the Purchase Order Data Extraction solution page.

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