Automate Data Extraction from Additional Credits And Payments

Automate data capture from Additional Credits and Payments with Nanonets’ AI-powered Additional Credits and Payments OCR & machine learning. Extract data from Additional Credits and Payments & automate workflows for related use cases.
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Here's why you will love Nanonets

Capture Additional Credits and Payments from Emails

Collect or forward your emailed additional credits and payments to your Nanonets Inbox.

Automated Data Entry

Snap a picture and Nanonets will take care of the rest.

90% straight through processing

Accurately capture predefined labels with Artificial Intelligence. Reconcile data across sources.

HOW WE CAN HELP

Use cases for Nanonets’ additional credits and payments OCR

Government

Automate Government workflows/processes and more.

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Government

Tax accounting

Automate Tax accounting workflows/processes and more.

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Tax accounting
Additional Credits and Payments
WHAT WE EXTRACT

Fields that can be identified

Here are some fields Nanonets can extract by default. Say goodbye to manual data entry. Additional fields can also be extracted on request.

Sequence number
Foreign tax credit
Residential energy credits
Net premium tax credits
Credit for federal tax on fuels
Education credits
And many more...

When your business is your passion, don’t let data entry get in the way.

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How we compare

Benefits of Nanonets' Additional Credits and Payments OCR API

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Traditional OCR Tools
Data Formatting
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High savings
Nil or low training data
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High training data
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High training data
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Receive documents from multiple channels
Amount of training data needed
Self-learning AI
No Template setup required
IT / API friendly
Multiple export options
Cost and Time Savings

Frequently asked Questions

Learn more about additional credits and payments automation & how Nanonets can help.

What types of additional credits and payments are supported?
Are additional credits and payments line items extracted?
Is Nanonets’ additional credits and payments capturing GDPR compliant?