Predefined Models:
We also provide ready-to-use predefined models designed specifically for commonly used business documents. These models save you time by offering instant extraction templates for standard use cases like invoices and statements.
Purchase Invoice
Our Purchase Invoice Model is designed to capture essential details from supplier invoices. This includes vendor details, invoice number, invoice date, itemized expenses, taxes, and total amounts. With accurate extraction, you can streamline your accounts payable process and reduce manual entry.
Sales Invoice
The Sales Invoice Model extracts key information from customer invoices, including buyer details, invoice date, invoice number, item descriptions, tax amounts, and totals. This helps in automating accounts receivable workflows, ensuring accurate record-keeping, and faster reconciliation.
Statement
The Statement Model is tailored to extract information from financial statements, account statements, and similar documents. It captures fields like statement date, customer or account details, transaction descriptions, debit/credit entries, and running balances—helping you maintain accurate financial tracking with ease.
Our Customizable Fields Models:
We offer three types of model creation to cater to different data extraction requirements:
10 Fields Model:
10 Fields Model includes the extraction of up to 10 fields from your desired documents. Additionally, the charge for the 10 Field Model is 1 point per document.
15 Fields Model:
15 Fields Model includes the extraction of up to 15 fields from your desired documents. Additionally, the charge for the 15 Field Model is 1.5 points per document.
20 Fields Model:
20 Fields Model includes the extraction of up to 20 fields from your desired documents. Additionally, the charge for the 20 Fields Model is 2 points per document.
Line Item Extraction:
By enabling this option, we extract line item data from your documents. Additionally, this feature incurs an extra cost of 0.5 points for every 50 line items extracted.
