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IBM Datacap 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)
IBM Datacap
Ranking in Intelligent Document Processing (IDP)
7th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
28
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 IBM Datacap is 2.3%, down from 4.6% 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%
IBM Datacap2.3%
Other89.6%
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.
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.
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

"Among the most valuable features that we've been able to utilize are the screen scraping and object cloning."
"One of the strengths of Automation Anywhere is its user-friendly interface, which makes it accessible even to those without a development background."
"We have an automation that we just put in production where we are doing a double-blind quality review, and the bot is comparing the two entries and kicking out a large number of exceptions for human review, so we have saved a large number of hours every day by not having humans look at things that match."
"It has changed our mindset, as people have started to think about automating things and come up with new perspectives, alternatives, or improvements by which automation can be implemented."
"Automation has helped us improve productivity in that it first of all saves time, and because of the automation we are able to eliminate human errors, so it is really good for improving our productivity and has helped us a lot."
"The features of Automation Anywhere improve my company by making deployment and maintenance of our automations a smoother process overall."
"We have been able to reduce the amount of repetitive tasks completed by operations, allowing individuals to move onto tasks which cannot yet be automated."
"The cognitive automation gives us an edge towards intelligence using IQ Bot, and this allows us to integrate and give a combined solution to a customer."
"It helps companies figure out how to use advanced imaging techniques, processes, best practices, and other tools."
"The most valuable feature is its ability to capture data, which changes all the time into different formats."
"Datacap as compared to other products is a cheaper product, the stability and all the features are great, and the user-friendly features look good and you have less customization."
"I can have all scanners accessible from my end."
"The solution automates manual data entry."
"It is the best solution for scanning purposes."
"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 OCR extractions are very good, almost 100% accurate now."
"The most valuable feature is the ability for humans to train the bot."
"The most valuable feature of UiPath Document Understanding is the AI Center."
"Document classification is very good."
"The entity-level extraction is very good. The workflow is also very good."
"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."
"Document Understanding's best features are the action center and verification mode."
"UiPath Document Understanding produces a high accuracy rate of 98 percent."
"The solution allows us to continue with vendors whose information comes in correctly and to stop the automation for vendors with many items that are not clearly defined."
 

Cons

"Verbose logging of bot compiling and deployment from the control room. Events occurring during compiling, pre-processing the bots should be logged in the control room or bot launcher logs."
"Automation Anywhere (AA) has a lot of stability issues. It needs a lot of maintenance."
"Queues are great but need improvement. They are helpful because most of the automations are transaction-based."
"The product should improve on Voice Recognition and IoT pretty soon, as this is the next big thing in and I would like to see this upgraded in the next release."
"Regarding the UI, once you're on some of the screens there are fixed dialogues, they are a set size, so there's a lot of horizontal scrolls and vertical scrolls. If I want to do something that is purely business-related and is somewhat complex to write or is nuanced, I sometimes have trouble implementing that inside of the Automation Anywhere script."
"When I post questions, I seldom get answers fast, and when I do, there are inconsistencies with the existing documentation."
"Integration with secondary environments needs to be improved or enabled."
"In the next release, I think it has to be more compatible when deployed with the Citrix environment."
"I've faced some bugs or issues. They should do deeper testing of the product before releasing it because some of the bugs that I found were a bit simple. I understand that it is a massive product, and some of the functionalities can get overlooked."
"Datacap's technology seems a little behind the industry. It's still using the old .NET framework. They should move to .NET Core and start integrating some machine learning. You can do some integration yourself, but you expect a solution to include the latest machine-learning approaches if you're paying reasonable money for it."
"The reading efficiency of the solution needs to be improved."
"The technical support is horrible. They have downsized the support teams too much. They've outsourced some of them along with some of the development, and they're just stretched too thin."
"One of the things that we wished for was to have an easier way to carry out the customizations. Currently, if you want to customize data, you need to have a developer with C# knowledge. If IBM could implement a no-code or low-code platform for Datacap, it would be easier to adjust it without needing a developer, which was always the most difficult part."
"Its weaknesses are primarily tied to the lack of available resources and expertise in the market to effectively support and provide solutions and services to each customer for seamless implementation. Expertise in this specific product is rare throughout the market. One key reason is the product's limited downloads. Additionally, archiving solutions are often perceived as complex and challenging, dissuading many companies from venturing into this domain. Consequently, partners who specialize in archiving solutions are always seeking straightforward, uncomplicated options that are easy to manage and meet customer expectations."
"I would like to see the product have the ability to process more documents in parallel. Right now, it is a single queue. Therefore, if you want to really test the load and stress test it, having multiple instances and the ability to scale it up would be great."
"The interface can be more intuitive."
"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."
"UiPath Document Understanding has challenges with handwriting and screenshots."
"They often ask us to go through the documentation first instead of directly explaining or addressing the root cause of issues."
"Right now, we are trying to use Instabase, which is another tool for document understanding. It may be one step ahead. It is faster than UiPath."
"The machine learning model needs improvement, as we receive more and more unstructured documents from clients that require a lot of manual validation."
"There is also room for improvement in long-running table extraction. If a table continues for more than 10 pages, in some cases, we have observed that it only extracts six or seven pages and skips the last pages."
"There is still room for enhancement in capturing line items from invoices."
"This is an expensive solution."
 

Pricing and Cost Advice

"Our company is investing a lot of money in Automation Anywhere. They have saved money wherever humans are working. They invest a lot of money in FTEs and other logistics, so the money saving is very pretty good with Automation Anywhere. While I don't know the exact figure, the tool is saving us millions of dollars as well as saving about 40,000 hours in the last year."
"The cost of Automation Anywhere is high in Turkey due to the weak economy."
"The setup and licensing cost is affordable, and it is not exaggerated like UiPath."
"The enterprise version is expensive for small businesses and individual users."
"The licensing cost for Automation Anywhere is high."
"I have heard that Automation Anywhere is expensive."
"It is somewhere in the middle. The price and value of Automation Anywhere are better than UiPath. The pricing is good globally. It could be a little bit cheaper, but it is good."
"We brought onshore a lot of what we were doing offshore, saving our company close to $20 million."
"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."
"In Egypt, we have exchange rates that change year to year, and currently, we're facing an increase in the exchange rate between our Egyptian pound and the dollar. Since we have been using IBM DataCap two years ago we had a good price, it was not expensive. However, I cannot say now if it is expensive or not because of the exchange rate. Additionally, I don't have the data of other competitors and I don't know the prices."
"It varies, and it depends on the client's requirements and negotiations. Nowadays, Datacap is also included in the IBM Cloud Pak for Business Automation."
"You save a lot of time and money, but the benefit is you have people who are able to run the systems, check to see if there are any errors at all, and there are a lot less errors than a human system."
"It is an expensive solution."
"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."
"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 is the most expensive in the market."
"We received a 60-day free trial before having to purchase a license to continue using UiPath Document Understanding."
"I find the pricing to be somewhat on the higher side."
"The price is on the high end."
"UiPath Document Understanding is expensive, with the basic annual package including 6,000 documents and the next package including one million documents, a huge price difference."
"UiPath Document Understanding carries a premium price tag, but its current technological capabilities may not yet fully justify the cost."
"UiPath has a higher upfront cost, but its Document Understanding feature is not a significant additional expense compared to the overall platform."
"The solution’s cost increases for machine learning or artificial intelligence because we have to go for UiPath Orchestrator."
"The cost per license is significant, approaching ten thousand dollars."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Construction Company
11%
Manufacturing Company
11%
Outsourcing Company
10%
Financial Services Firm
15%
Manufacturing Company
9%
Government
9%
Outsourcing Company
7%
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
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise4
Large Enterprise12
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.
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...
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)
Datacap
No data available
 

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Turkcell, PowerSouth Energy Cooperative, Central Nacional Unimed, Conqord Oil
Information Not Available
Find out what your peers are saying about IBM Datacap vs. UiPath IXP and other solutions. Updated: June 2026.
908,800 professionals have used our research since 2012.