AP Capture: Labels in Review OCR Mapping

The AP Capture AI feature uses Optical Character Recognition (OCR) to automate processing of AP invoices or credit memos, saving valuable time and resources. OCR identifies text on an uploaded document and uses the text to automatically complete fields in Documents to Process. If certain fields are filled with incorrect information or if information is missing, users can submit suggestions to OCR by adjusting the mapped fields.

The tables below define the field labels and table columns that can be mapped to data on the AP invoice or credit memo.

Field Labels

In Beta

Restaurant365 currently supports two Capture experiences: Capture Classic and Capture Beta.

Capture Beta is in beta. A comparison table is provided below for Classic and Beta.

Contact your CSM to learn more.

Classic Capture AI	Beta Capture AI

Field labels assign meaning to individual blocks of text on a document, such as the name of the vendor, addresses, or dates.

Classic Capture Field Name	Beta Capture Field Name	Description
buyer_address	Legal_Entity_Address	Address of the legal entity associated with the location that placed the order.
buyer_name	Legal_Entity _Name	Name of the individual or legal entity who placed the order.
invoice_date	Invoice_Date	Date of the invoice.
payment_due_Date	Due_Date	Date when payment is due.
seller_name	Vendor_Name	Name of the vendor.
invoice_amount	Invoice_Total	Total amount to be paid for items purchased.
invoice_number	Invoice_Number	Number used to identify the invoice or credit memo.
net_d	Payment_Terms	Terms of payment, which determine when net payment is due and if any discounts can be applied for early payment. Learn more about Payment Terms.
service_charge	Service_Charge	Additional charges, such as administrative or processing fees.
shipping_charge	Shipping_Charge	Cost of shipping to be paid by the buyer.
shipto_address	Location_Address	Address where purchased items will be delivered.
shipto_name	Location_Name	Name of the individual or location that will receive the purchased items.
tax_amount	Tax_Amount	Sales tax to be paid by the buyer.
shipto_street	Location_Street	Street address of the delivery location.
shipto_city	Location_City	City of the delivery location.
shipto_State	Location_State	State or province of the delivery location.
shipto_pincode	Location_Postal_Code	Postal code of the delivery location.
buyer_street	Legal_Entity_Street	Street address of the legal entity that placed the order.
buyer_state	Legal_Entity_State	State or province of the legal entity that placed the order.
buyer_pincode	Legal_Entity_Postal_Code	Postal code of the legal entity that placed the order.
fuel_charge	Fuel_Charge	Additional charges related to fuel costs.
buyer_city	Legal_Entity_City	City of the legal entity that placed the order.

Table Columns

Tables are most commonly used to extract line items on an invoice, such as the name, quantity, and cost of the items purchased.

Classic Capture Column Name	Beta Capture Column Name	Description
Unit_Of_Measure	Unit_Of_Measure	Unit of measure for the purchased items, usually by weight or volume, such as gallons (gal), pounds (lb), or kilograms (kg).
Description	Description	Description of purchased items.
Product_Code	Vendor_Item_Number	Unique identifier used by the vendor to identify the item, such as the SKU or UPC.
Quantity	Quantity	Number of items purchased, for each item type.
Item_Name	Item_Name	Name of the vendor item.
Line_Amount	Line_Amount	Total amount to be paid for each item type (Price x Quantity).
Price	Each_Amount	Price per unit.
Catch_Weight	Weight	Actual weight of the item, used when invoiced by exact weight rather than a fixed unit.