Receipts

Nanonets is an AI-based workflow automation software centred around our revolutionary OCR engine. We have many pre-trained models to extract data from standard customer documents, Receipts being one of them.

We can help extract structured information from Receipts in the form of flat fields or key-value pairs, such as Total Amount, Merchant_Name, Tax_Amount, etc. as well as tabular fields.

Alternatively, in case you would want a different set of fields to be extracted, you can use our zero-training OCR model which can be set up to extract custom fields within minutes.

The list of fields that we support out-of-the box are as follows:

Field	Description
Total_Amount	Extracts the Total Amount due to the merchant.
Tax_Amount	Extracts the Tax amount due to the merchant.
Cash_Tender	Extracts the amount paid in cash, if present on the receipt.
Merchant_Phone	Extracts the contact number of the merchant.
Merchant_Address	Extracts the address of the merchant.
Receipt_Number	Unique identifier for the receipt.
Merchant_Name	Extracts the name of the merchant.
Card_Tender	Extracts the amount paid with a card (debit or credit), if present on the receipt.
Subtax	Extracts the subtax amount, if present on the receipt.
Date	Extracts the date on which the receipt is generated