Transform complex purchase orders into structured, actionable data - Extract line-item details, payment terms, and supplier information with precision across multiple formats and languages. Streamline your procurement processes with AI-powered document intelligence.
Get Started for Free Free DemoPurchase Order OCR is an advanced technology that automates the process of data entry from purchase orders, invoices, and other business documents. OCR stands for Optical Character Recognition, which refers to the ability of a computer to recognize and interpret text from scanned images. Purchase Order OCR uses this technology to extract data from purchase orders in electronic format and convert it into machine-readable data. This speeds up the process of entering data into a system, reduces errors, and improves accuracy.
Purchase Order OCR helps businesses to eliminate the need for manual data entry, which can be time-consuming and error-prone. Purchase Order OCR also helps to ensure compliance with regulatory requirements, as it ensures that all data is captured and stored accurately. Additionally, it provides real-time visibility into the purchase order process using data extraction, allowing businesses to track their purchases, inventory, and finances more efficiently. Ultimately, Purchase Order OCR is essential for any business looking to accelerate operations and stay competitive in today’s fast-paced business environment.
Veryfi’s PO (Purchase Order) OCR API is easy and fast to implement with just a few lines of code (as shown).
PO (Purchase Order) OCR API comes bundled with:
✓ Day-1 Ready Pre-Trained Purchase Order AI model,
✓ Free 🧰 SDKs to help you launch faster in your preferred programming language and
✓ Easy to use no-code API 🗔 Portal where you can store and edit your documents, fine-tune the ML model and more.
Need help? email support@veryfi.com
Transform invoice-to-purchase-order matching into an automated process with AI-powered validation that compares unit prices, quantities, and line items – eliminating manual reconciliation and detecting discrepancies instantly across all your procurement documents.
Automatically extract and map custom fields from any purchase order format to your desired schema – handling enterprise-specific layouts, multiple languages, and varying document structures while maintaining consistency in data extraction.
Transform unstructured product descriptions into standardized spend categories with AI-powered classification – automatically mapping items to your taxonomy for precise spend analytics, budget tracking, and procurement insights. The system analyzes multiple data points including product descriptions, SKUs, and supplier information to maintain consistent categorization across your procurement lifecycle.
Automatically identify duplicate or similar purchase orders using AI-powered pattern matching – preventing double payments, catching redundant submissions, and flagging potential errors across order history in real-time. The system analyzes multiple data points including supplier details, line items, quantities, pricing, and delivery dates to catch duplicates even when documents appear different at first glance.
– PO Number and Version/Revision
– Supplier Information (Name, ID, Address, Tax IDs)
– Ship-to and Bill-to Addresses
– Payment Terms and Conditions
– Delivery Terms (Incoterms)
– Department/Cost Center Codes
– Required-by Date and Delivery Dates
– Contract/Framework Agreement References
– Requisitioner Information
– Line Items (SKU, Description, Quantity, UOM, Unit Price, Total)
– Currency and Exchange Rates
– Tax Codes and Amounts
– Budget Codes
– Authorized Signatories
– Special Instructions/Notes
– Quote Reference Numbers
– Shipping Method
– Additional Terms and Conditions