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AntWorks CMR+ vs UiPath IXP comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 18, 2026

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
662
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
UiPath IXP
Ranking in Intelligent Document Processing (IDP)
2nd
Average Rating
8.0
Reviews Sentiment
5.1
Number of Reviews
56
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 UiPath IXP is 4.7%, down from 12.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere3.4%
UiPath IXP4.7%
AntWorks CMR+2.0%
Other89.9%
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.
Gangadhar Wali - PeerSpot reviewer
Founder and COO at InVibes
Pre-trained models work well, but it is very expensive
We have to do manual validation for some of the things due to the OCR engine not being so accurate. For example, S is read as 5, 5 as S, 2 as Z, and Z as 2. In the case of currency, if one dot is missing, it gives a completely incorrect number. These discrepancies should be fixed because if the OCR itself doesn't work properly, then AI doesn't help with that. When AI is used for training models, the AI Center works precisely, but if the data itself is wrong, we can't do anything. If the extraction of data is proper, it definitely helps. However, 20% errors could be reduced if the OCR engine were better. In future updates, I would like to see better handling of issues such as when a dot is missing in currency, for example, with dollars, it should handle that automatically. It's very expensive. If the volume increases, we can't afford to use Document Understanding. We are thinking of moving to another solution because we are expecting 80,000 to 100,000 invoices.

Quotes from Members

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

Pros

"The ease of use of getting started is probably the big thing. They had a lot of references that we were able to check. It is a well-known player, and being able to get up and running quickly was the big thing."
"I would rate Automation Anywhere overall a nine out of ten."
"At run time, Automation Anywhere can let you know which line of code the bot is running and what it is doing. It is very clear."
"With our conversion from v11 to A360, there has been better ease of development of components within the control room for our development teams."
"It has helped us a lot with our digitized work, and we have automated a lot of the bank's processes."
"Automation Anywhere has minimized this risk, saving costs related to rectification and improving compliance adherence to avoid penalties in a tightly regulated industry."
"In terms of monetary savings, we automated a bot in three days that has saved us $30,000 in costs."
"The overall developer client has an easy-to-use UI."
"The automation provided by this solution has saved us a lot of time."
"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."
"With Document Understanding, tasks that would normally take eight hours manually can be completed in three to five hours. It still requires some human intervention, but 90 percent of the processing can be automated."
"I believe the most valuable feature is the prebuilt algorithm for extracting information from foreign invoices."
"It shortens the time of extracting data by 70 to 80%."
"The entity-level extraction is very good. The workflow is also very good."
"UiPath Document Understanding offers multiple types of extractors, which we can use to extract information from documents in a variety of ways."
"UiPath's Document Understanding significantly reduces the effort needed to train a machine-learning model for our documents."
"This solution has played a significant role in drastically reducing human errors by ensuring that 95% to 98% of tasks are done through the system."
"I like UiPath's machine-learning capabilities. My first impressions were good, but we only use it in a few processes. We intend to expand our use of these features in other situations, but we're still learning how to use the AI functions. We use the OCR much more."
 

Cons

"We have had issues with stability in the past, and there should be a function that helps you to find out what is wrong with your environment that is causing the automation to fail."
"There could be improvement in the reporting and insights into the ROI. The ROI tool that shows the performance and the return on investment is not very accurate."
"The IQ Bots have a lot of room for improvement in terms of accuracy level. We need to improvise a lot. I'm facing another big challenge with one of the use cases. We raised a ticket and did multiple follow-ups with support, but the accuracy still isn't up to the mark."
"There's potential for Automation Anywhere to integrate conversational types of tools and AI into their tool set, which would be really valuable."
"Reporting could be better because there is a little bit of overkill in getting information about the utilization of the bot license. This could be a little bit improved."
"From an ease of use point of view, on a scale of one to ten with ten being really easy, I would rate the tool a six."
"Integration with secondary environments needs to be improved or enabled."
"Automation Anywhere's frequent updates are unnecessary and disruptive."
"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."
"We would like to see the overall accuracy increase from approximately 70% to perhaps 85%."
"If the volume increases, we can't afford to use Document Understanding. We are thinking of moving to another solution because we are expecting 80,000 to 100,000 invoices."
"There are also problems with handwritten documents. The results from those are not 90 percent accurate. With scanned and native PDFs, it is 90 to 99 percent accurate, but the accuracy of handwritten documents is somewhat less. If they could improve on that, it would also be helpful."
"Its pricing can be improved."
"Handwriting recognition in UiPath Document Understanding is very difficult."
"They often ask us to go through the documentation first instead of directly explaining or addressing the root cause of issues."
"Currently, we have to train multiple templates because the column size and row size change in each PDF."
"There could be a feature similar to ChatGPT where when you ask about a document, you get an answer about what is there in that document. If possible, this kind of feature can be incorporated so that you do not need to open a file and take the value. It should directly detect that instead of opening and validating the document. Such a feature will speed up the process."
"A lot of coding is required to make handwriting decoding happen; it's not so easy as plug and play."
 

Pricing and Cost Advice

"Automation Anywhere is expensive."
"Their overall pricing falls in the middle of the market. Cost-wise, Automation Anywhere is quite expensive because of their analytics, IQ Bots, and MetaBots. For a standalone machine, the pricing is okay. When adding in the licensing for IQ Bots (or MetaBots), it can become quite costly."
"No one is balking at the cost. They are market rates and will change, but no one is saying, "That is ridiculous or impossible." They are saying, "Show me the ROI and prove that the cost is accurate.""
"They all are very competitive today. At the end of the day, it boils down to the negotiations that happen and what type of partner you are."
"The cost is high for small-scale businesses but it is fine for medium and large enterprises. Its high licensing cost may affect small-scale businesses. Reducing licensing costs would benefit many users."
"The price of this product is good."
"It's cheaper than other similar solutions."
"If I compare it with Blue Prism, Automation Anywhere is cheaper. Blue Prism is very costly. Automation Anywhere's pricing follows the market, not less and not more."
"The pricing is really good, and it's based on usage."
"The pricing is reasonable."
"UiPath has a higher upfront cost, but its Document Understanding feature is not a significant additional expense compared to the overall platform."
"Our clients are concerned about the volume-based pricing model, as UiPath charges more than other vendors in the market."
"UiPath Document Understanding offers fair pricing, primarily if you consider the number of resources and human work the solution reduces, plus the ROI you can get from it."
"UiPath's pricing model is complex and based on AI units, which are consumed during model training and use."
"Document Understanding's price is quite high."
"We received a 60-day free trial before having to purchase a license to continue using UiPath Document Understanding."
"The price for UiPath Document Understanding is a bit expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Construction Company
11%
Manufacturing Company
11%
Outsourcing Company
10%
Insurance Company
22%
Construction Company
14%
Manufacturing Company
9%
Comms Service Provider
6%
Financial Services Firm
19%
Manufacturing Company
10%
Insurance Company
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise81
Large Enterprise558
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise26
 

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 is your experience regarding pricing and costs for UiPath Document Understanding?
Both UiPath and Blue Prism are expensive. Customers are trying to move to some other Agentic space because of high pr...
What needs improvement with UiPath Document Understanding?
The challenge is more on handwriting and language-specific document extraction. There is some room for improvement wh...
What is your primary use case for UiPath Document Understanding?
We use it for broker closure, KYC, mortgage processing, and invoice processing as of now. We have about 100,000 invoi...
 

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
Information Not Available
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Find out what your peers are saying about AntWorks CMR+ vs. UiPath IXP and other solutions. Updated: June 2026.
908,800 professionals have used our research since 2012.