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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
6.9
Number of Reviews
661
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)
17th
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 September 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, down from 3.4% 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 OpenText Capture is 3.8%, down from 7.5% 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 Capture3.8%
AntWorks CMR+2.0%
Other90.8%
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

"Document Automation plays a very good role for document processing."
"Not all tools give us the clear utilization of the infrastructure in place but this does and trust me, this has been proved far better than other RPA tools and that is why I see AA booming day by day."
"Automation Anywhere stands out because it has brought productivity to the organization, improved customer service, accelerated business growth, and allowed for faster innovation."
"The bot creation process is relatively simple."
"This is a perfect solution for us and Automation Anywhere helps us to close many deals."
"A process that used to take seven to ten days has now been reduced to half an hour."
"Document automation has impacted efficiency and productivity because initially, we tried training the module on multiple unstructured documents, which resulted in less efficiency, but over time, we have trained with multiple documents, and it is now achieving great accuracy."
"This RPA tool is a leader in the market, and I have had a very good experience working with Automation Anywhere."
"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."
"Pattern recognition ultimately helps us to circumvent the problems in dealing with format variability in documents and allows us to capture the right data."
"The automation provided by this solution has saved us a lot of time."
"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."
"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."
"The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."
"OpenText Intelligent Capture is pretty good."
"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 automated version of the vendor invoice management is great, and it is helpful because it has reduced the human interaction in invoice processing."
"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

"Automation Anywhere can improve process mining."
"Overall, I am pretty satisfied with Automation Anywhere. The UI is pretty straightforward. However, the customer service could be improved."
"If we are getting input from a CSV file, we have to add one more layer of automation that first saves the data to an Excel file."
"The initial setup was quite complex. We have faced an issue. During the initial implementation stages, it took longer than we expected. It affected our timelines to a certain extent."
"Maybe not improved but I heard that the 2019 version is going to look more like UiPath, which is not ideal for a typical/classic developer."
"Automation Anywhere can be improved in terms of complex logic implementation."
"I am looking for artificial intelligence and machine learning. I hope that they introduce them in A2019. I'm looking forward to what will be there in A2019 because that's the area that we need to go forward. We are looking for Automation Anywhere to put up their efforts to make it easier by incorporating artificial intelligence and machine learning. Along with RPA, this would make our automation journey very easy. We can bring more processes into automation, that's where I am looking for automation to focus on."
"They should do more on the cognitive side."
"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 would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents."
"Knowledge of .NET is required to effectively use the solution or it can be complicated."
"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."
"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."
"It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement."
"I have not seen any return on investment from OpenText Capture."
"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."
"The setup is medium complexity."
 

Pricing and Cost Advice

"One of the key features that we chose, the bot as a service or the BotFarm, when they launched version 11.3, they decided not to have the BotFarm anymore. This put us in a situation because we expected to have bots on demand, just like our cloud software. This would have been cost efficient for us to use. We hope to see this again being realized with A2019. I hope the scalability from an on demand basis improves."
"It's an ideal pricing model to customize the components based on everyone's needs."
"The solution is quite expensive. Not every organization can consider this option."
"Pricing is a bit high when compared to other available tools; however, the tool is worth the cost."
"Subscription for Automation Anywhere (AA) is paid yearly."
"There are some additional costs beyond the standard licensing fees. There are a couple of add-ons we've looked at: The IQ Bot for OCR and machine-learning were add-ons, as well as the Bot Insights - the analytics."
"The product’s pricing is reasonable."
"This is a comprehensive automation offering with a scalable architecture and flexible pricing models."
"The pricing is really good, and it's based on usage."
"OpenText is an expensive solution."
"Some customers say the solution can get costly because it requires licenses or enterprise packages."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Comms Service Provider
10%
Manufacturing Company
10%
Insurance Company
21%
Comms Service Provider
13%
Construction Company
13%
Manufacturing Company
9%
Insurance Company
16%
Financial Services Firm
14%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise82
Large Enterprise558
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.
Ask a question
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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
Information Not Available
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Find out what your peers are saying about AntWorks CMR+ vs. OpenText Capture and other solutions. Updated: September 2026.
913,683 professionals have used our research since 2012.