Model overview
The document model is based on OCR and deep learning and has been trained on a large number of documents to handle documents such as invoices, receipts, purchase orders, packing lists and more.
model | describe |
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Invoice | The model is trained on a very large set of invoices and is capable of processing invoice documents in a variety of input formats and Extract invoice number, customer details, vendor details, taxes, amounts, line items and more. |
Receipt | Extracts key data from receipts for a variety of expense types Extract time and date of the transaction, issuer information, amounts of taxes, totals and more. |
Purchase order | The model is trained on a large set of POs and is capable of processing documents in a variety of input formats and extracting extracting Key-values,line item details. |
Packing list | The Packing List Skill has been trained on a smaller set of documents. Customers can use this skill as a starting point for further training the skill based on incoming documents, or to adjust the extracted fields and business rules to their own requirements. |
Invoice
Define the information you would like to extract such as total amount, due date, supplier name, invoice number, tax amount... In addition, the Model supports zero-code customization of additional fields.
Receipt
Define the information you would like to extract such as total amount, date, issuer name, currency, tax amount...
Purchase Order
Define the information you would like to extract such as total amount, date, supplier name, order number, purchaser...
Packing List
Define the information you would like to extract such as Packing List Number, shipper name, consignee Name, order number, purchaser...
Other
If the above models cannot meet your needs, please contact us for related matters.