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AntWorks CMR+ vs OpenText Capture comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 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
6.8
Number of Reviews
668
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 (2nd), AI Procurement & Supply Chain (1st)
AntWorks CMR+
Ranking in Intelligent Document Processing (IDP)
16th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
OpenText Capture
Ranking in Intelligent Document Processing (IDP)
4th
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, up from 3.3% compared to the previous year. The mindshare of AntWorks CMR+ is 2.1%, up from 1.5% compared to the previous year. The mindshare of OpenText Capture is 3.9%, down from 6.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere3.4%
OpenText Capture3.9%
AntWorks CMR+2.1%
Other90.6%
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.
SK
Software Engineer at ECloudOptimumCorp
Robust document capture boosts efficiency and integration options
The best features include multiple channel capabilities such as fax, different file transfers, and paper scans. It can be integrated with multiple channels and can capture images, even from mobile devices integrating into OpenText Capture. Currently, it has introduced AI for data extraction and document processing. OpenText Capture's impact on automating document-intensive tasks such as accounts payables or loan processing is significant. It has the capability to capture table structures or multiple line items from images, including line items and final amounts for invoice processing. The main benefits of OpenText Capture are particularly valuable when capturing content and extracting structured or unstructured data. This product can be integrated into any point-of-sale system, Salesforce, SAP, or other environments, reducing manual data entry and related tasks. This feature has helped organizations handle large volumes of data with precision, especially regarding resource consumption. The automation reduces human effort that would otherwise be required for classification and extraction tasks.

Quotes from Members

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

Pros

"One of the notable benefits we've realized from Automation Anywhere is a significant reduction in errors when processing data, which improves both revenue accuracy and operational efficiency."
"We've shifted platforms a couple of times, and Automation Anywhere is the one that stuck based on end-user experience, the ease of development, and trainability with the tool."
"The valuable features of Automation Anywhere really are around the ease of use. Our RPA program focuses on citizen development, and all of the developers have full-time jobs as accountants, and then they work in automation on the side when time allows."
"The tool feature I found the most valuable is Metabot, as we can include the DLLs that are proprietary written code in .NET or other technologies."
"ROI is good and impressive after using automation anywhere RPA platform."
"There are things that used to take us a lot of time, like manual entries or HR queries, but now that the bots are in place, we are saving a lot of time."
"IQ Bot is something which is going to disrupt the market in the future. We... are particularly impressed with the evolution of IQ Bot and the kind of disruption it is bringing to the OCR space."
"Automation Anywhere consistently ranks at the top, matching our vision and strategy for implementing transformative solutions."
"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."
"Pattern recognition ultimately helps us to circumvent the problems in dealing with format variability in documents and allows us to capture the right data."
"We use it to capture documents coming through our product and mobile channels and make them available for our business to access and email. We use it to automate the email workflow in our applications, pull the documents, and email them to the users."
"The solution is very powerful because it allows for custom scripting."
"Being able to have accurate extraction is most valuable. It has machine learning and other tools to make the extraction more accurate."
"The automated version of the vendor invoice management is great, and it is helpful because it has reduced the human interaction in invoice processing."
"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."
"It is a mature product and a leader in the industry."
"The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."
"The main benefits of OpenText Capture are particularly valuable when capturing content and extracting structured or unstructured data, and this feature has helped organizations handle large volumes of data with precision, especially regarding resource consumption."
 

Cons

"We have explored the AI Agent Studio in our automation process, and we have done some POCs with a couple of use cases that created value for us. However, we have encountered some technical challenges, which is why we haven't proceeded with production yet."
"Reliability and error handling should be improved."
"They are already working on this: The boom of generative AI, the next-gen technologies, including advanced AI and ML technologies, are in the roadmap. I would like to see more and more AI integration and a bit more analytics. That would be great."
"They could improve the learning curve."
"Even though the product is easy to use, there are some challenges when we move across different environments; there's a lot of setup needed."
"Automation Anywhere has some limitation with its integrations. You can build your logic with MetaBots and .NET components, e.g., if something is not gathered by Automation Anywhere or built into functionality, you can write a MetaBot. A MetaBot is like an external component. You can write it through C# or .NET code, and make a DLL, and import it. This is not open to all data types or EXE functionalities which can be written through C#. You have to define your variable types, matching them with Automation Anywhere existing variable types. Because of the knowledge required, I cannot let another person, who doesn't know Automation Anywhere, build my external DLL code."
"Getting the bot design into the developer's hands is taking longer than we initially anticipated."
"They have a ridiculously expensive bot licensing structure, especially for the Asian region."
"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%."
"The setup is medium complexity."
"If something is handwritten and attached to an email, it doesn't capture the information correctly."
"It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement."
"Its functionality is good, but it has to be made more accurate. If it is not customized and handheld properly, the recognition and captures won't be accurate."
"I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents."
"The area for improvement primarily centers around licensing concerns rather than technical issues. Captiva, intended for larger clients, poses challenges for medium and small businesses due to licensing costs. The current licensing model is based on volume, such as purchasing a volume for one million dollars per year for scanning. This pricing structure may be prohibitive for companies with constrained budgets. Another aspect requiring attention is the mobile capture feature, which, although experiencing recent enhancements in intelligent document processing through AI, could benefit from further improvements. Specifically, there is room for enhancement in enabling users to efficiently capture documents using their smartphones."
"I have not seen any return on investment from OpenText Capture."
"We are using it to improve the image and the documentation for the cases. And sometimes, some cases have more than fifteen different types. We use some tools as fixed standard analysis and provide information to support the different types to take some decisions and help in an automated process. We choose the case type and subtype DNS scanning documents from the data entry up."
 

Pricing and Cost Advice

"We have seen ROI on one of the process, but not on the other processes yet."
"Automation Anywhere University is pretty good. They make it available free for everyone."
"In the Indian market, I feel that for mid-size companies, such as ourselves, that having multiple bots costs a lot. If Automation Anywhere wants to expand in the Indian market, they will need to look at their pricing."
"The pricing and licensing of Automation Anywhere plays an important rule in the Indian market because in the Indian market $10,000 USD is too much. Hence, the pricing tends to go down depending on the customer relationship with the partner: A starter pack is $10,000 and an enterprise pack is $100,000. If you go through an implementation partner, you can get good deals. They can save some money."
"Our licensing costs are setup on an annual basis."
"The licensing cost of Automation Anywhere is better than UiPath and Blue Prism."
"Cost is the biggest area in need of improvement for Automation Anywhere. Annually it's $250,000. That's what deterred us right away."
"It costs up to $1,200 per license."
"The pricing is really good, and it's based on usage."
"Some customers say the solution can get costly because it requires licenses or enterprise packages."
"OpenText is an expensive solution."
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Top Industries

By visitors reading reviews
Outsourcing Company
14%
Comms Service Provider
12%
Financial Services Firm
11%
Manufacturing Company
11%
Comms Service Provider
21%
Insurance Company
19%
Construction Company
12%
Manufacturing Company
8%
Financial Services Firm
15%
Insurance Company
15%
Outsourcing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business162
Midsize Enterprise86
Large Enterprise565
No data available
By reviewers
Company SizeCount
Small Business2
Large Enterprise6
 

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 OpenText Intelligent Capture?
There is room for improvement regarding the data extraction and OCR capabilities in OpenText Capture, especially with...
What is your primary use case for OpenText Intelligent Capture?
I use OpenText Capture for any digital format or hard copies, everything that needs to be digitalized and stored in a...
What advice do you have for others considering OpenText Intelligent Capture?
Based on my rich experience with OpenText Capture, I would advise organizations considering it for their environment ...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
ANTstein
OpenText Captivas
 

Interactive Demo

Demo not available
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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. OpenText Capture and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.