Automate Data Extraction from Incident Reports

Automate data capture from Incident Reports with Nanonets’ AI-powered Incident Report OCR & machine learning. Extract data from Incident Reports & automate workflows for related use cases.
Get started for free
Free trial. Cancel anytime. No hidden charges.
Watch 60s video

join organisations that spend smart

Here's why you will love Nanonets

Capture Incident Reports from Emails

Collect or forward your emailed incident report 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’ incident report OCR

Insurance

Automate Insurance workflows/processes and more.

Learn more
Insurance

Operations

Automate Operations workflows/processes and more.

Learn more
Operations
Incident Reports
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.

Employer
Case number
Injured's name
Date of injury or illness
Treatment extent
Dates of restricted duty
And many more...

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

Find out how with a free trial and a demo
Request a Demo
How we compare

Benefits of Nanonets' Incident Report OCR API

Traditional OCR Tools
Data Formatting
High savings
Nil or low training data
High training data
High training data
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 incident report automation & how Nanonets can help.

What types of incident reports are supported?
Are incident report line items extracted?
Is Nanonets’ incident report capturing GDPR compliant?

Frequently asked Questions

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.