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IBM Datacap vs NTT-AT WinActor 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
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), Intelligent Document Processing (IDP) (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (2nd), AI Legal & Compliance (1st), AI Finance & Accounting (1st), AI Procurement & Supply Chain (1st)
IBM Datacap
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
28
Ranking in other categories
Intelligent Document Processing (IDP) (7th)
NTT-AT WinActor
Average Rating
7.0
Reviews Sentiment
6.6
Number of Reviews
2
Ranking in other categories
Robotic Process Automation (RPA) (40th)
 

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.
DeekshithShetty - PeerSpot reviewer
Software Development Senior Specialist at a tech vendor with 10,001+ employees
High-accuracy document processing with easy integration and good image enhancement
The OCR extractions are very good, almost 100% accurate now. The integration with other tools is very easy, with inbuilt actions to configure and directly export to multiple depositories. It is also good at image enhancement, including the removal of lines, which is helpful in processing and automation and ensures very little user intervention, thus saving time.
reviewer1170825 - PeerSpot reviewer
IT Planning Assistant Manager at a manufacturing company with 10,001+ employees
Frees up employee time but can't run when computer system is locked
Something that could be improved is that this solution can't run when the computer is locked, which meant we had to implement it in our own on-prem server as it never auto-locks. It would be better if, when we have scheduled a scenario, it would log into the system automatically.

Quotes from Members

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

Pros

"Other products are more low-code, whereas Automation Anywhere is no-code making it easier to learn and user-friendly."
"The recorder feature for front end automation and email packages is the most valuable feature as it has more features and it makes the email server related tasks easier and more independent on the email client."
"We can do automation for some complex issues."
"We are saving almost four FTEs, and it is far better in terms of savings."
"Using Automation Anywhere has improved our company significantly, as we are doing over eight to 10,000 invoices a month, which people had to do before, while now the automated process is doing that without too much human intervention, saving probably about at least two to possibly three FTEs per week."
"The main thing is the simple UI, easy to use commands, and it's very easy to learn compared to other tools in the market."
"They have an AI platform with GenAI implemented to help us generate anything that is necessary for automation."
"AA improves process consistency and reduces human error."
"It's resiliency, with multiple ways of identifying what you are looking for and multiple export formats, and it's a platform, not a configured application, so you can do what you want with it."
"While we are doing indexing, we tag the document type. It's programmed inside of Datacap to automatically detect the document based on a given template. It auto-indexes that document, which means that it automatically tags the correct document type to the scanned document."
"It reduces human error and saves time."
"It is highly extensible, which we found to be most valuable. It is a very extensible solution because it is based on configurable rule sets. We were able to amend and adjust the solution and very easily add custom code and custom components. It does require some programming experience, but we found that not to be an issue. We liked its extensibility."
"It's a stable product; we've seen other capture products on the market and our view of Datacap is that it's best-of-breed."
"The OCR extractions are very good, almost 100% accurate now."
"One of the valuable features of Datacap is the user experience. One thing that IBM did a few years ago was they standardized all of their ECM products on Content Navigator, including Datacap. If you're an IBM ECM customer you have FileNet, you have Datacap, you have StoredIQ and you have a consistent user experience, user interface."
"The most valuable features of IBM Datacap is the capturing and recognizing of pages, documents as well as the scanner and barcodes."
"This software is very smart - it can decide from a picture if we like that condition, and then the robot will do that action."
"NTT-AT WinActor has allowed our employees to focus on other things rather than the repetitive tasks that can now be given to the robot."
"The tool's most valuable feature is data import. The OCR feature helps to recognize the data. It can recognize screen and document numbers well."
 

Cons

"For me at the very beginning when I started working with that, the technical setup was extremely complicated and extremely problematic, and we spent half a year to really make the software work."
"The Image Recognition functionality should be enhanced to improve the accuracy of checkboxes."
"They should consider being more multi-platform."
"In A2019 it does not display the exact running status, but rather it displays the previous one."
"One area for improvement in Automation Anywhere (AA) is its monitoring system. It's not that good. Both scalability and stability are also areas for improvement in the tool."
"The REST API could be improved."
"Automation Anywhere's frequent updates are unnecessary and disruptive."
"Automation Anywhere can be improved by reducing the time of the processes and enhancing the efficiency of people."
"Third-party integration is slow especially through API calls because if you want to integrate between Datacap and BPM, it can only be done in that direction (and not BPM to Datacap)."
"They have to stop focusing on new development and stabilize the latest release. It is not stable."
"Reporting and analytics seem to often be something of an afterthought. With Datacap, they've started building out some dashboards, but one thing we hear from our clients a lot is, "Well, gee, we really love reports. What Datacap has is not really helpful. We'd like something better. We'd like more dashboards." That's one area where we've seen some feedback that the product could do better."
"Third-party integration could be improved; it's very slow."
"I would like better ease of use and more support options."
"There should be an increase in the capacity of the workflows. Datacap is a little limited in this aspect. So, you cannot really implement all the possibilities."
"Speed of OCR is one issue. It's a challenge because we have customers that have millions and millions of pages that they want this solution to crank through. In order to do that you have to have a large infrastructure in place, and that directly impacts licensing based on the core count."
"It can take some time to implement."
"Something that could be improved is that this solution can't run when the computer is locked, which meant we had to implement it in our own on-prem server as it never auto-locks."
"The OCR has issues recognizing handwritten data."
 

Pricing and Cost Advice

"The pricing is fair. My company is part of a big organization, so the pricing is very advantageous."
"It saves on the quality of work, because the quality can be bad when somebody's doing it. If a bot does the work, it's faster and comes with good quality. These are two important things along with the cost saving in the long run. That's where the value is."
"It is reasonable and affordable. If you consider the tasks that we can get done using this, the pricing is reasonable and affordable."
"Automation Anywhere is affordable."
"The cost for scalability is much cheaper than developing a new system."
"The enterprise version is expensive for small businesses and individual users."
"It is not too expensive, but there are many tools available in the market that can provide the same functionality at a cheaper price."
"We only deal in annual licenses. There are no pay-as-you-go licenses."
"It is an expensive solution."
"If you want IBM Datacap on cloud, which is a service run by IBM, the price can be quite expensive, but if you want to just purchase the licenses and own those yourself, then the price is very competitive."
"This solution offers seamless integration with other enterprise products, which is my area of responsibility, focusing on government sector projects. Larger enterprise projects don't pose problems. It might be suitable for small businesses as well."
"This solution is the most expensive in the market."
"We were using the User Value Unit licensing, which means we get charged per active user of the system, and if I'm not mistaken, we also had it for the rule runner service. They had a PVU license model, which is a processor value unit. For each process that we have in our system, we pay a certain amount of money. We found the pricing to be quite steep. It was really an expensive solution in comparison to Kofax, which had a different licensing model and was actually cheaper overall because they charge per page and not per user and per process."
"Pricing needs to stay competitive."
"This solution offers seamless integration with other enterprise products, which is my area of responsibility, focusing on government sector projects. Larger enterprise projects don't pose problems. It might be suitable for small businesses as well."
"IBM could offer more competitive pricing. This would allow them to attain more users. Some of our clients are considering moving to a different solution called Encapture which is similar but offers more competitive pricing."
"We pay yearly for the agent who runs the processes, plus an additional fee for maintenance costs."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
Financial Services Firm
16%
Manufacturing Company
9%
Government
9%
Insurance Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise83
Large Enterprise553
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise4
Large Enterprise12
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.
What is your experience regarding pricing and costs for IBM Datacap?
Pricing is in the mid-range but could be more affordable, rated at four point five.
What needs improvement with IBM Datacap?
IBM needs to improve on scanning and reading accuracy for unstructured documents. Additionally, an important missing ...
What is your primary use case for IBM Datacap?
I primarily use IBM Datacap ( /products/ibm-datacap-reviews ) for data capture and scanning documents with OCR. Speci...
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Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
Datacap
NTT WinActor, WinActor, NTT-AT Robotic Process Automation Software, NTT-AT RPA
 

Interactive Demo

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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Turkcell, PowerSouth Energy Cooperative, Central Nacional Unimed, Conqord Oil
Exeo Tech Corporation
Find out what your peers are saying about UiPath, Automation Anywhere, Microsoft and others in Robotic Process Automation (RPA). Updated: June 2026.
902,988 professionals have used our research since 2012.