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AntWorks CMR+ vs Nanonets comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Automation Anywhere
Sponsored
Ranking in Intelligent Document Processing (IDP)
1st
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
660
Ranking in other categories
Business Process Management (BPM) (2nd), Robotic Process Automation (RPA) (2nd), Process Mining (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (2nd), AI Legal & Compliance (1st), AI Finance & Accounting (1st), AI Procurement & Supply Chain (1st)
AntWorks CMR+
Ranking in Intelligent Document Processing (IDP)
17th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Nanonets
Ranking in Intelligent Document Processing (IDP)
12th
Average Rating
8.4
Reviews Sentiment
5.5
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, down from 3.5% compared to the previous year. The mindshare of AntWorks CMR+ is 2.0%, up from 1.3% compared to the previous year. The mindshare of Nanonets is 1.7%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere3.4%
Nanonets1.7%
AntWorks CMR+2.0%
Other92.9%
Intelligent Document Processing (IDP)
 

Featured Reviews

Venkat Sivaprakash - PeerSpot reviewer
Management Consultant at Accenture
Has significantly improved document-driven workflows and reduced processing time across finance and HR functions
Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.
Rick Koo - PeerSpot reviewer
Digital Technology Leader at Mercer
Leading-edge NLP capabilities, efficient training of machine learning models, and the automation saves us significant time
The machine learning capability is good. The algorithm helps us to get the right data with less training effort. The technology seems to be a little bit ahead of the standard NLP software. They use more pattern recognition, rather than basing everything on reading static text. The problem with relying on an unchanging text is that it can depend on things such as the formatting, and where things appear within a document. This solution can process complex formats, which is helpful for us because we get a lot of PDFs and they come in many different formats. As an example, a carrier might include a list of their rates in a table, whereas a different carrier will write their rates into a paragraph, and yet another will put them into some sort of graphic. If you only capture text then you will only capture part of that data. Pattern recognition ultimately helps us to circumvent the problems in dealing with format variability in documents and allows us to capture the right data. When it comes to predicting what it is that a document needs manual intervention, CMR Plus does it pretty well. They have a QA cycle that is usually able to highlight such data. The content recognition ability, in terms of giving us only the data that we need and nothing else, is pretty good. It has a positive effect on our efficiency and by extension, it impacts our infrastructure costs.
reviewer2855805 - PeerSpot reviewer
Lead Engineer at a tech vendor with 10,001+ employees
Automated invoice conciliation has reduced manual checks and now delivers accurate OCR data
The best features Nanonets offers are OCR and integrations. These features have reduced manual efforts significantly. Currently, manual checking of data between the database and invoices is no longer necessary, as AI is now performing that work. Nanonets is an AI OCR model that I trained to deliver purposeful output. As an AI model, I can briefly describe and extract data from documents. Nanonets is primarily focused on documents, allowing me to extract data, compare it, and it is also useful for handwritten documents. It delivers output that is 99% accurate for handwritten documents as well. I consider Nanonets a good tool that I have worked with, and I have worked on its integration using Python.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I also very much like the integrating of this solution with other applications. We have some old web applications that we've been using, and we've been writing some of our own DLLs to integrate with it. It has worked really well."
"There is one user registration process in one application where there is no API which has been published by that framework. This is a very proprietary in one application by a third-party. So, there was a help desk, and whenever a call went to the help desk, they had a front-end where they created these user registrations. Now, this is completely automated for all employees who are onboarded. We receive the data, it is put it into Excel, and from Excel, it will update it into the particular tool where the registration happens."
"Automation Anywhere is the best among all other automation tools available in the market such as Power Automate and UiPath."
"Security is a top priority for us. To be allowed to automate different processes, we need to have a good set of controls around who is allowed to do what, and what credentials people can and can't use. It allows us to manage access make sure that we have full control."
"Automation Anywhere receives high marks for its ease of use."
"Automation Anywhere is very easy to use; it's a low-code platform that a person who doesn't have any technical knowledge can use."
"Automation Anywhere is a tool that I love! I am quite happy using this tool and there are no features or commands that I have found to be missing that should be added."
"We have automated every finance-based operation, from collections to invoice processing, and it has streamlined many manual processes, eliminating errors and inefficiencies while allowing us to introduce metrics so we can generate operational reports and improve our overall business."
"Pattern recognition ultimately helps us to circumvent the problems in dealing with format variability in documents and allows us to capture the right data."
"This product has helped to boost our overall efficiency and performance, giving us the ability to automate many manual tasks and collect the right data for our analytics so we can serve our clients more effectively."
"The automation provided by this solution has saved us a lot of time."
"Nanonets has positively impacted my organization by providing a solution that works for us as developers."
"The best features Nanonets offers include their workflow and OCR detection capabilities, which have positively impacted my organization by helping detect edge cases in OCR that require some post-processing or pre-processing and have improved efficiency and reduced errors."
"The accuracy percentage of Nanonets was around 92-93%, which has had a high impact because it has reduced approximately 9.2 FTEs in manual efforts."
 

Cons

"The Web Recorder should also include a feature where the user can select what browser you want it to run since it is currently using the Internet Explorer browser as default. Some of our web-based systems are currently not compatible with Internet Explorer and can only run using Firefox or Google Chrome."
"We have trouble with large volumes of data in Excel and are not getting good results."
"Giving access to our internal websites was not simple during the initial setup."
"Certain areas of the user interface require improvement."
"Setup and deployment of this product could be difficult for those without experience. These processes should be made easier."
"Their OCR is a bit expensive, meaning the IQ Bot."
"We have a new feature share in Automation Anywhere, but it does not migrate automatically from the previous version to the new one."
"We have had so many stability issues."
"We would like to see the overall accuracy increase from approximately 70% to perhaps 85%."
"It would be very helpful to have a simple and extensive training guide, or training model, to help learn how to work with the product."
"I think Nanonets can be improved as the pricing seems to be a bit high, which is one of the things they should improve."
"I have observed that while training Nanonets, we must provide a larger number of examples or documents."
"Nanonets can be improved with a larger number of samples and test scenarios."
 

Pricing and Cost Advice

"Our costs are approximately between $5,000 to $10,000 per license."
"We have saved a lot of money on taxes based on the stuff that we run."
"Cost-wise, it is fine. A lot of medium businesses prefer Automation Anywhere. The development cost is also lower."
"We are not receiving the right information about their features, e.g. Automation Anywhere University, or anything that they are selling. They need to improve their documentation."
"It is one of the most affordable RPA solutions, and as for licensing, they offer a community edition that greatly helps anyone who aspires to learn about the product before buying the enterprise solution."
"Automation Anywhere is competitive... Pega is somewhat comparable, but Pega also requires a lot more infrastructure and a lot more experience to get up and running."
"In most of the cases, the product value is very good. If the infrastructure, implementation, and framework are good, then generally, the client can get a good return on investment."
"In terms of monetary savings, we automated a bot in three days that has saved us $30,000 in costs."
"The pricing is really good, and it's based on usage."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
11%
Outsourcing Company
10%
Insurance Company
21%
Construction Company
14%
Comms Service Provider
9%
Manufacturing Company
9%
Construction Company
18%
Financial Services Firm
16%
Healthcare Company
8%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise82
Large Enterprise558
No data available
No data available
 

Questions from the Community

How good is Automation Anywhere for RPA processes?
It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is ver...
How good is Automation Anywhere for RPA processes?
From my experience using AA tool, it depends on the applications that you want to automate, because there some applic...
How good is Automation Anywhere for RPA processes?
It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.
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What needs improvement with Nanonets?
Nanonets can be improved with a larger number of samples and test scenarios. I would suggest training Nanonets simila...
What is your primary use case for Nanonets?
I use Nanonets for OCR purposes, specifically for invoice conciliation. For invoice conciliation, I used Nanonets to ...
What advice do you have for others considering Nanonets?
Nanonets's AI capabilities are secure. Regarding Nanonets's accuracy and reliability of output, in my use case it was...
 

Comparisons

 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
ANTstein
No data available
 

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
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Find out what your peers are saying about AntWorks CMR+ vs. Nanonets and other solutions. Updated: July 2026.
909,725 professionals have used our research since 2012.