AI Purchase Order Extraction
Submit your purchase orders
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Up to 50 files per batch
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How it works
PurchaseOrders is AI purchase order extraction software built to extract data from POs at scale. Upload a PDF purchase order, a scan, or a phone photo and our AI reads every field, PO number, vendor/supplier, ship-to and bill-to, line items, delivery dates, terms, tax, and totals, then exports it to Excel, CSV, JSON, or API. Stop typing purchase orders into spreadsheets and let machine learning do the data extraction for you.
Drop in PDF purchase orders, scans, or photos, any supplier, any layout, single file or bulk batch
Machine learning reads line items, SKUs, quantities, unit prices, subtotals, tax, PO numbers, and delivery dates
Download import-ready Excel XLSX, CSV, or JSON, or pull the extracted PO data through our API
Go from a stack of PDF purchase orders to a clean, ERP-ready spreadsheet in seconds, never type a line item again.
What we extract
Our purchase order OCR reads the layout structure instead of matching a per-supplier template, so it pulls structured data from POs regardless of supplier or format.
Purchase order and reference IDs
Name, address, tax ID, contact
Delivery and billing addresses
SKU, description, quantity, unit price, amount
Required-by and expected ship dates
Net, gross, discounts, shipping
Rates, amounts, and breakdowns
Payment terms, incoterms, currency
How it works
Three steps to extract data from purchase orders, no template setup, no rules to maintain
Add single or bulk PDF and image purchase orders from any supplier. The PO extractor handles native PDFs, scans, and photos alike.
Machine learning models read each PDF purchase order and capture line items, totals, tax, vendor details, PO numbers, and delivery dates automatically.
Send the extracted PO data straight to Excel, CSV, JSON, your ERP, or our purchase order extraction API.
Why PurchaseOrders
Template-based tools and generic PDF converters break the moment a supplier changes their layout. PurchaseOrders uses AI purchase order extraction trained specifically on procurement documents, so it just reads the document, like a buyer would.
Skip rule-building and field mapping. The AI extracts purchase order data from new suppliers on the first try, with no configuration.
Purchase order OCR handles smudged scans, skewed photos, and multi-page PDF POs that trip up ordinary converters.
Extract purchase orders in batches and merge the results into one spreadsheet, process hundreds of documents in a single run.
Extract purchase order data to Excel, CSV, or JSON with consistent columns mapped the same way every time.
Automate data extraction from purchase orders in your own apps with a simple PO data extraction API and webhooks.
Encrypted in transit and at rest, with optional zero retention so your purchase orders are purged after extraction.
Integrations & API
Whether you extract a single PDF purchase order or run thousands through automation, PurchaseOrders fits where you already work. Use the web app for one-off extractions, or the PO extraction API to wire AI purchase order data extraction into your own procurement pipeline.
Where the data goes next depends on the job. Teams comparing the category start with purchase order automation software; teams watching what is still outstanding use an AI purchase order tracking system. If you buy against standing agreements, see blanket purchase order software, and if customer orders arrive as PDFs you need to key into an ERP, see sales order entry automation. New to the workflow itself? Read the purchase order process, step by step. Still shopping the category? See how the best purchase order software compares on real vendor pricing.
Get accurate purchase order data extraction without stitching together AWS Textract, Power Automate flows, or custom machine learning models.
Post a PDF, receive structured JSON. The purchase order data extraction API returns clean fields ready to store or transform.
Extract purchase orders to CSV, Excel, and JSON, or push results into NetSuite, SAP, and your ERP and procurement systems.
{
"po_number": "PO-2024-0892",
"supplier": "Acme Supplies Ltd",
"order_date": "2024-03-14",
"delivery_date": "2024-04-13",
"ship_to": "Bldg 4, 19 Dock Rd",
"currency": "USD",
"line_items": [
{ "sku": "BRK-120", "description": "Steel brackets",
"qty": 120, "unit_price": 4.50,
"amount": 540.00 }
],
"tax": 54.00,
"total": 594.00
}Office of Security & Trust
Every purchase order you upload for extraction is encrypted, access-controlled, and purged the moment you no longer need it.
TLS 1.2+ while uploading and AES‑256 at rest for every purchase order and export.
Role‑based permissions and full audit logs for every purchase order that passes through.
Minimal data, short‑lived processing, and optional zero‑retention on every purchase order.
SSO/SAML, DPAs, BAAs, and regional data residency on Enterprise plans.
Who uses it
Procurement, supply chain, and AP teams use our purchase order data extraction software to kill manual ERP data entry for good.
Smart Reports
Data extraction from purchase orders is only the start. PurchaseOrders sorts every extracted line item by supplier, category, and cost center, giving you a full picture of committed spend, no spreadsheet wrangling required.
AI reads each extracted PO line item and files it under the right category, raw materials, MRO, services, software, and more.
Direct the AI: group by supplier, flag big-ticket items, split CAPEX from OPEX, surface duplicate purchase orders, or run any analysis you need.
Combine extracted data from dozens of suppliers into one report for a complete committed-spend view across any time period.
Download categorized purchase order reports as Excel files, with every extracted line item listed under its category.
| Category / Reference | Amount |
|---|---|
| IT & Software | $18,450 |
| CLOUD HOSTING · PO-2024-0892 | $6,200 |
| CRM LICENSES · PO-44102 | $4,800 |
| + 8 more line items | |
| Raw Materials | $24,100 |
| STEEL SUPPLIER · PO-7821 | $12,050 |
| PACKAGING CO · PO-3390 | $12,050 |
| MRO & Facilities | $4,850 |
| OFFICE SUPPLIES CO · PO-1120 | $3,500 |
| MAINTENANCE PARTS · PO-0456 | $1,350 |
| Total Spend | $47,400 |
Queries on the Record
Purchase order data extraction is the process of using AI and OCR to read PDF or scanned purchase orders and pull out structured fields, PO number, vendor/supplier, ship-to and bill-to, line items, delivery dates, terms, tax, and totals, then export them to Excel (XLSX), CSV, JSON, or an API, ready for your ERP.
Yes. PDF purchase order extraction is the core of what we do. Upload native or scanned PDF POs and the AI extracts every field automatically, no template setup required.
Upload your purchase orders and download the extracted data as Excel (XLSX), CSV, or JSON in one click, with bulk exports when you need to extract many POs at once.
Yes. Our purchase order data extraction API lets developers automate data extraction from POs: post a PDF and receive clean, structured JSON back, ideal for high-volume procurement pipelines.
Yes. While built for purchase orders, the same AI also reads related procurement documents such as order confirmations, delivery notes, and invoices, so you can process your whole procure-to-pay paper trail.
Both. We combine purchase order OCR with machine learning models trained specifically on procurement documents, so accuracy holds up across smudged scans, photos, and unfamiliar supplier layouts.
Purchase orders are uploaded over encrypted connections and stored securely with optional zero retention. You can delete your extracted data whenever you like.
The specification
Clauses of Record
PDF purchase orders, scans, and photographed paperwork all go through the same reader. No zone map to draw for each new supplier before the first document works.
SKU or part number, description, quantity, unit price, and line total come out as separate columns, alongside vendor, ship-to address, PO number, and dates.
Take the result as Excel or CSV, or read the same fields as JSON over the API so purchase orders land in your ERP without a manual re-key step.
From the Archives
Aug 21, 2026
ME9F processes purchase order output, NACE configures output type NEU under application EF, and the NAST table records what was created, how it should be sent, and whether it worked. A field-level reference plus the usual reasons a PO never reaches the vendor.
Read moreAug 19, 2026
BAPI_PO_CREATE1 creates a purchase order with the same logic as ME21N, but the interface catches people out: POHEADER is an importing parameter, every field needs an X flag, and custom fields only travel through EXTENSIONIN. Here is the whole interface, a working example, and why ME887 happens.
Read moreAug 16, 2026
SAP purchase order pricing sits in four layers: document conditions in KONV or PRCD_ELEMENTS, master records in KONH and KONP, the Annn condition tables, and the RM0000 calculation schema. Here is which table answers which question, and why a contract price beats an info record price.
Read more