Nanonets review: AI image annotation and workflow automation

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In 2017, when they were just getting their feet under them, I was introduced to Nanonets for the first time. They have its headquarters in San Francisco, California, which also happens to be my hometown and a thriving center for the technology industry. For them, the most important thing was to make machine learning more approachable for software engineers like me, so that we could incorporate it into our various projects.

The fact that Nanonets is not your typical OCR software vendor is the defining characteristic that sets them apart from the competition. They take a more forward-thinking approach by incorporating artificial intelligence into document scanning and the processing of structured data. This indicates that they are capable of considerably more than simply recognizing characters on a page; rather, they are able to comprehend information and intelligently organize it.

I have witnessed the development and success of Nanonets over the course of many years. It is incredible to watch how they have grown their customer base to encompass approximately 10,000 customers from a variety of countries all over the world. Toyota, Sherwin Williams, Roche, and Procter & Gamble are just a few of the well-known companies that make use of their services. It has been fascinating to follow them on their journey and to observe their technology as it is applied in a variety of settings and making a significant contribution.

Nanonets Specifications

Nanonets is an advanced artificial intelligence platform that may be utilized to automate a wide variety of work activities. Because it is both user-friendly and reasonably priced, it is an excellent option for companies of any size.

Feature	Description
Optical Character Recognition (OCR)	Extract text from images and PDFs. Supports over 100 languages and all major fonts.
Image classification	Identify objects and scenes in images. Supports over 1000 pre-trained models.
Document processing	Automate data extraction from invoices, receipts, contracts, and other documents.
Custom model training	Train your own custom models for OCR, image classification, and document processing.
Workflow automation	Create custom workflows to automate tasks such as data entry, document routing, and approval.
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What is Nanonets?

The deep learning approach is utilized on the optical character recognition (OCR) platform known as Nanonets OCR. This software was developed to assist businesses in digitizing PDFs, receipts, and other types of documents. On a centralized system, it enables managers to convert food menus into structured data, complete with prices and names of the items.

Using Nanonets OCR, businesses are able to scan their invoices and import the information that is retrieved into the system. Organizations may make the OCR process more efficient by generating new text detection categories or adding to existing ones, uploading images and annotating them for each group, and training newly developed models.

Nanonets review: Features

The platform has several features and tools to assist organizations process data. One of its best advantages is excellent document classification and extraction. Nanonets let businesses train and deploy machine learning models to classify and extract data from bills, receipts, contracts, and more. This can reduce manual data entry, which is tedious and expensive.

Businesses may easily construct custom models with Nanonets without programming skills. The platform’s user-friendly interface lets customers establish document structure and choose data to extract. Nanonets also offers templates and pre-built models that can be altered. Many organizations require identity document data entry.

Nanonets offers pre-built modules for a variety of common scenarios, including Driver License OCR, Passport OCR, and ID Card OCR, that can grab data from these documents, recognize the type of data, and populate a database of defined fields like name, address, date of birth, etc. It supports many languages and layouts and integrates with KYC automation to validate document and customer identity.

Nanonets review: Support

Support for Nanonets can be obtained through a variety of different means. We were able to locate a direct phone number at the bottom of the webpage, as well as a direct email address and even a physical mailing address. This aspect of the website was quite straightforward. Additionally, there is a help site that appears whenever a difficulty ticket needs to be sent. We were unable to identify a fax number or a chat feature, and we were also unable to uncover information regarding the hours that help is available.

There are also other possibilities for providing oneself with self-help, such as a Help Center and a blog. The second of the two possibilities is a very active one, with a new article being added every few days, such as the most recent one that explains how to “Automate Data Extraction from Patient Registration Forms.” The Help Center is a database of content that can be searched, and it is separated into several sections such as “Accuracy” and “Data Content.” There are multiple articles contained within each grouping, ranging from fewer than ten to several dozen. There were no webinars, booklets, or video lessons that we could locate.

Nanonets review: Built-in Workflows

You may reduce the amount of time spent reviewing and approving documents with Nanonets’s built-in procedures. You can also utilize individualized process definitions to streamline any task that requires a significant amount of content. You can also leverage the rich metadata models or properties to automatically move documents through a business process or lifecycle. This can be done with the help of a workflow management system.

Nanonets review: Pricing

Since I’ve had experience with Nanonets, I’d like to provide some information regarding their price as well as how to obtain an estimate for their services. Nanonets offers a number of different plan options to its customers. If you are just beginning started, you will appreciate the fact that the “Starter” plan is offered at no cost at all. It gives users access to fundamental document processing and management tools.

There is a “Pro” package available for those who require additional sophisticated features. This one costs $0.1 per page and includes useful features like support for up to 20 Fields and auto-capturing, which can be of great assistance when working on more extensive projects.

Final Words

Nanonets have been useful for my business. Streamlining data processing and document analysis with this AI platform has proven revolutionary. We liked the substantial trial offer. It let us fully evaluate the platform and understand how it may improve our operations. The enterprise tier’s dedicated account manager gave individual support and direction, making our experience even better. The many direct help choices were also welcomed. We always have a trustworthy avenue for queries or help. For AI and document analysis news and best practices, the well-maintained and regularly updated blog was a terrific resource.

Unfortunately, the Pro tier was pricey. A cheaper plan than pay-as-you-go would have been excellent for smaller firms with tighter budgets. Unfortunately, the lack of chat help made answering questions quickly difficult. Nanonets’ user-friendly UI and advanced machine learning make it ideal for our business. It lets us use AI to automate procedures and boost operational efficiency.

Nanonets review: The Good and Bad

Nanonets incorporates AI beyond the bounds of conventional OCR document processing, allowing for genuine structured data processing. While this method improves productivity, it does so at a price that may make some companies think twice.

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