IBM Datacap vs OpenText Capture comparison

Why PeerSpot?

IBM and OpenText are both solutions in the Intelligent Document Processing (IDP) category. IBM is ranked #7 with an average rating of 9.5, while OpenText is ranked #4 with an average rating of 8.0. IBM holds a 2.4% mindshare in IDP, compared to OpenText’s 3.8% mindshare. Additionally, 89% of IBM users are willing to recommend the solution, compared to 100% of OpenText users who would recommend it.

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 29, 2026

IBM Datacap and OpenText Capture are prominent solutions in the document capture category. OpenText Capture holds a slight edge due to its robust AI features and more consistent customer service.

Features: IBM Datacap offers strong integration with FileNet, easy web services implementation, and an efficient OCR alongside machine learning capabilities that help in handling various document formats. OpenText Capture excels with AI-driven data extraction, multi-channel capabilities, and integration with enterprise systems facilitating unstructured and structured data processing.

Room for Improvement: IBM Datacap can improve its interface and address integration challenges with unstructured data. Its support is seen as inadequate, and OCR functionalities need enhancements. OpenText Capture's complexity and requirement for high technical expertise suggest a need for simpler and more accessible user experiences.

Ease of Deployment and Customer Service: IBM Datacap is mainly on-premises with limited private cloud options, whereas OpenText Capture provides flexible cloud deployments, including public cloud. IBM’s customer service receives mixed reviews due to inconsistent support. OpenText, despite its cost, offers more consistent support experiences.

Pricing and ROI: IBM Datacap’s pricing, based on user licenses, is seen as costly, but competitive through broader IBM integrations. OpenText Capture is also costly, yet justified by its integration capabilities and automation efficiencies, resulting in positive ROI through reduced manual processing time and increased productivity.

To learn more, read our detailed IBM Datacap vs. OpenText Capture Report (Updated: September 2026).

Buyer's Guide

IBM Datacap vs. OpenText Capture

September 2026

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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

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 IBM Datacap is 2.4%, down from 4.6% 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
Product	Mindshare (%)
Automation Anywhere	3.4%
OpenText Capture	3.8%
IBM Datacap	2.4%
Other	90.4%

Intelligent Document Processing (IDP)

Featured Reviews

Venkat Sivaprakash

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.

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DeekshithShetty

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.

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Sirisha Konakandla

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.

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Quotes from Members

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

Pros

"The integration is helpful. We have quite a few use cases where we've integrated with Microsoft tools and local record systems, such as SAP and Vertex AI."

"It has helped us to save a lot of FTEs for our solutions that we have provided to our companies. Suppose a job which was done by a group of eight to nine people on a daily basis for 24 hours was taking a lot of time, so we created a bot with Automation Anywhere. It was done with a bot working 24/7. It reduced the numbers of guys required to do that process."

"Bot creation is a cool feature. It allows the developer to do complex things."

"It saves time. It has saved 4,000 to 5,000 hours for one large complex process."

"We have found that the automation bots we have developed give great savings in terms of higher productivity and efficiency."

"The most valuable feature is the screen recorder, which helps to automate processes easily."

"The ability to create automation itself is a benefit that reduces human error and enhances efficiency. Technical support is unsurpassed."

"Automation Anywhere is very simple to use; the features are very simple, the application is light, and overall I love it."

More Automation Anywhere pros

"It is highly scalable; we have customers who are pumping through thousands of documents a day, and if you're looking for enterprise, this is the solution because it is a platform."

"I like Datacap's integration with FileNet because financial companies use that export. The second part is web services integration, which is effortless to implement."

"The most valuable feature is its ability to capture data, which changes all the time into different formats."

"It helps companies figure out how to use advanced imaging techniques, processes, best practices, and other tools."

"The OCR extractions are very good, almost 100% accurate now."

"An example: In the state of Connecticut, we implemented a solution which was forms based, but inspired by IBM technology, and we were able to eliminate a process which normally took 60 days and cut it down to six hours."

"Both Datacap Studio and Datacap Navigator are great features."

"Datacap is good at processing unstructured data. You can build up some nice data flows, and it is simple to configure. The tool adopts a low-code approach, but you can do a lot of coding if you want to customize and automate your flows. Datacap also has the flexibility to integrate."

More IBM Datacap pros

"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."

"Being able to have accurate extraction is most valuable. It has machine learning and other tools to make the extraction more accurate."

"It is a mature product and a leader in the industry."

"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 enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."

"The solution is very powerful because it allows for custom scripting."

"OpenText Intelligent Capture is pretty good."

More OpenText Capture pros

Cons

"Overall, I am pretty satisfied with Automation Anywhere. The UI is pretty straightforward. However, the customer service could be improved."

"I have not seen bots working efficiently in the area of reporting."

"The technical support needs improvement."

"AA should include more features in the mobile app, such as monitoring and debugging bots."

"I would suggest adding more fields while calling in API. There is no option to generate Authentication token within the Bot."

"I would like more with OCR and data capture. We are partnering with IBM to help bridge this gap, but Automation Anywhere should continue to expand on their product line and provide these capabilities, as well."

"On the cognitive side, some of their competitors, when we were originally shopping, were a little more advanced in that space. Making use of probabilistic outcomes and presenting them to a business user is a feature that, at the time of our evaluation, did not feel like a strong, mature solution for Automation Anywhere. Nevertheless, they won our business. That is one feature where I feel they are trying to make investments to address those gaps."

"There are a few features that we would love to have: running on the cloud, running on Linux, out of the box integration availability with larger ecosystems like Salesforce, Workday, or Microsoft."

More Automation Anywhere cons

"Datacap has performance issues when processing large volumes of documents. We're doing 18,000 pages daily. Scanning takes almost 20-30 minutes, but it normally takes one or two minutes. We informed IBM and opened a ticket for that. They forwarded the issue to developers but didn't give a specific timeline for it to be resolved. Version 8.1 is already at the end of support."

"What could be improved in IBM Datacap from a technical perspective is having everything together all in one place, rather than having several different interfaces. The addition of cloud-based OCR technology would also make this solution better. There's also room for improvement for their technical support."

"I would like to see the product have the ability to process more documents in parallel."

"There are times when external features impact services. For example, Windows patching or antivirus updates can affect production-level services."

"Datacap is not that difficult to set up, however, there are some limitations. For example, it's supposed to only be used with Windows, it will not support a Linux platform and has been built on top of .Net technologies."

"They have to stop focusing on new development and stabilize the latest release. It is not stable."

"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."

"In one case, our client needed to scan 5,000 pages in five minutes, or less, Datacap was not able to accommodate this task."

More IBM Datacap cons

"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."

"Knowledge of .NET is required to effectively use the solution or it can be complicated."

"If something is handwritten and attached to an email, it doesn't capture the information correctly."

"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."

"I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents."

"The setup is medium complexity."

"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."

More OpenText Capture cons

Pricing and Cost Advice

"I am using that Automation Anywhere Master Certification for version 11. Recently, this has been updated in Automation Anywhere University. Until this month, it's free to use. There are no charges. That's why I would like to complete it this month."

"Their licensing processes are in par with most industry standards."

"The pricing that we received from Automation Anywhere in the beginning was very economical for us. We've seen a lot of benefit from what we spent to what we're receiving. From the beginning, it's been a very low-cost implementation for us."

"Automation Anywhere is cheaper than UiPath and Blue Prism. From a market point of view, Automation Anywhere is reasonable. Any organization can adopt Automation Anywhere."

"We generally follow the Gain-Sharing Pricing model, which enables the customer to start getting the RPA benefits right from day one of their implementation."

"It is not too expensive, but there are many tools available in the market that can provide the same functionality at a cheaper price."

"Our costs are approximately between $5,000 to $10,000 per license."

"I don't know exactly what the pricing schemes are for the product as this type of negotiation is not my responsibility, but I think the basic pricing comes to $15,000."

More Automation Anywhere pricing and cost advice

"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."

"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."

"This solution is the most expensive in the market."

"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."

"Pricing depends on how much we use it. We pay per bulk quantity. We pay as you go. Therefore, it sort of depends on our usage of it."

"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."

"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."

"It is an expensive solution."

More IBM Datacap pricing and cost advice

"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

15%

Financial Services Firm

12%

Comms Service Provider

10%

Manufacturing Company

10%

Financial Services Firm

14%

Manufacturing Company

10%

Outsourcing Company

Government

Insurance Company

16%

Financial Services Firm

14%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	161
Midsize Enterprise	82
Large Enterprise	558

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	4
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	2
Large Enterprise	6

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...

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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...

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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.

See all answers

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.

See all answers

What needs improvement with IBM Datacap?

IBM needs to improve on scanning and reading accuracy for unstructured documents. Additionally, an important missing ...

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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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What needs improvement with OpenText Intelligent Capture?

There is room for improvement regarding the data extraction and OCR capabilities in OpenText Capture, especially with...

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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...

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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 ...

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Comparisons

UiPath Platform vs Automation Anywhere

Compared 11% of the time

Blue Prism vs Automation Anywhere

Compared 6% of the time

Microsoft Power Automate vs Automation Anywhere

Compared 5% of the time

AutomationEdge vs Automation Anywhere

Compared 3% of the time

Appian vs Automation Anywhere

Compared 2% of the time

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ABBYY Vantage vs IBM Datacap

Compared 17% of the time

Tungsten TotalAgility vs IBM Datacap

Compared 11% of the time

HyperScience vs IBM Datacap

Compared 7% of the time

Amazon Textract vs IBM Datacap

Compared 6% of the time

Grooper vs IBM Datacap

Compared 5% of the time

More IBM Datacap Competitors

Tungsten TotalAgility vs OpenText Capture

Compared 8% of the time

ABBYY Vantage vs OpenText Capture

Compared 7% of the time

UiPath IXP vs OpenText Capture

Compared 6% of the time

Amazon Textract vs OpenText Capture

Compared 6% of the time

eBrevia vs OpenText Capture

Compared 4% of the time

More OpenText Capture Competitors

Product Reports

Buyer's Guide

Automation Anywhere

September 2026

Download Automation Anywhere product report

Buyer's Guide

IBM Datacap

September 2026

Download IBM Datacap product report

Buyer's Guide

OpenText Capture

September 2026

Download OpenText Capture product report

Also Known As

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

Datacap

OpenText Captivas

Interactive Demo

Automation Anywhere

Demo not available

IBM

Demo not available

OpenText

Overview

Automation Anywhere offers ease of use, robust system connectivity, and GenAI-driven document automation through a cloud-native platform, significantly enhancing productivity across multiple industries with advanced AI features.

Delivering a comprehensive suite of tools designed for easy integration and rapid deployment, Automation Anywhere drives efficiency by reducing costs and automating repetitive tasks. Its cloud-native platform supports broad industry adoption, including advanced AI features like process automation and Co-Pilot, streamlining complex workflows with minimal technical skills required. Users benefit from robust integration capabilities, which facilitate seamless interaction with multiple systems. However, there is room for improvement in areas such as user-friendliness for beginners, stability, flexible licensing, and enhanced OCR functionality. Organizations in sectors such as banking, finance, manufacturing, and healthcare gain from the improved operational efficiency and ROI Automation Anywhere offers.

What are the important features of Automation Anywhere?

Ease of Use: Simplifies automation tasks with a user-centric interface.
Robust Connectivity: Provides seamless integration with multiple systems.
GenAI-Driven Document Automation: Leverages AI to automate document management.
Process Automation & Co-Pilot: Enhances workflow automation with advanced AI.
Cloud-Native Platform: Enables rapid deployment and integration.

What benefits should be evaluated in reviews?

Time Savings: Automation drastically reduces manual processing time.
Cost Efficiency: Decreases overall operational costs by automating tasks.
Productivity Enhancement: Streamlines workflows with AI-driven tools.
Improved Integration: Enhances ability to work with multiple systems.
Scalability: Supports growth with a flexible cloud-native architecture.

In the insurance industry, Automation Anywhere is utilized for automating processes such as enrollment management and compliance checks. Its applications extend to supply chain management, financial transactions, and business performance monitoring across sectors like banking, finance, manufacturing, and healthcare, helping organizations to automate routine tasks, improve efficiency, and reduce costs.

Automation Anywhere

IBM Datacap offers advanced OCR capabilities, auto-indexing, and integration with FileNet and web services to efficiently manage structured and unstructured data. It supports machine learning, low-code development, and streamlined workflows for improved operational efficiency.

IBM Datacap captures and processes different data types, providing extensibility and scalability for organizations aiming to enhance their document management processes. It integrates seamlessly with IBM FileNet and other platforms, while offering features like fingerprint recognition and image enhancement. Users benefit from reduced manual tasks and errors through its automated workflows. However, challenges include recognition accuracy improvements, faster scanning, and a shift towards cloud infrastructure. Third-party integrations and support services need enhancement, while increasing customization and support for the Arabic language remains essential. Enhancements in reporting, automation, and AI integration are priority improvement areas.

What features make IBM Datacap stand out?

OCR Capability: Robust text recognition for data extraction.
Auto-Indexing: Efficient categorization and data management.
Seamless Integration: Compatible with FileNet and web services.
Machine Learning: Supports intelligent data processing.
Low-Code Development: Simplifies adding custom features.

What benefits do users see with IBM Datacap?

Efficiency: Reduces manual tasks and errors.
Scalability: Adapts to organizational growth.
Extensibility: Easy to expand and customize features.
Streamlined Workflows: Facilitates smooth operations.

IBM Datacap supports industries such as insurance, banking, government services, and trade finance by digitizing and automating document capture processes. By integrating OCR-based data extraction and cloud services, organizations enhance efficiency and data management across various applications.

IBM

OpenText Capture leverages machine learning for effective document extraction and automated vendor invoice management, boasting powerful integration capabilities with CRM systems and an efficient OCR tool. Its platform supports API interaction for comprehensive document management.

OpenText Capture enhances document processing through accurate indexing with machine learning and efficient image capture via OCR, integrating data into systems like ECM and ERP. Users benefit from streamlined workflows, automating tasks such as extracting invoice data from scanned or emailed documents. Challenges include improving AI-driven document duplicate detection, OCR for lease abstraction, and the development of mobile capture features. Users seek a more user-friendly experience with lower licensing costs.

What are the key features of OpenText Capture?

Accurate Document Extraction: Utilizes machine learning to precisely extract information.
Automated Invoice Management: Reduces manual input through automation.
CRM System Integration: Seamlessly integrates with CRM for enhanced workflow.
Effective OCR Tool: Capable of advanced scanning and image processing.
API Interaction: Supports API use over mobile, email, or web platforms.
Custom Scripting: Enables tailored functionality to meet user-specific needs.

What benefits or ROI should users expect?

Increased Efficiency: Streamlines document management, saving time and resources.
Cost Reduction: Minimizes human intervention, reducing operational costs.
Enhanced Data Accuracy: Provides precise data capture and processing.
Flexible Integration: Easily connects with existing systems for a cohesive workflow.
Improved Automation: Boosts productivity through intelligent automation features.

Industries rely on OpenText Capture for efficient document management in capturing vendor invoices and automating workflows. In real estate, OCR might be used for processing lease documents, streamlining property management. Finance sectors benefit from automated invoice handling, often integrating data with ERP systems for improved financial oversight.

OpenText

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics

Turkcell, PowerSouth Energy Cooperative, Central Nacional Unimed, Conqord Oil

Information Not Available

Buyer's Guide

IBM Datacap vs. OpenText Capture

September 2026

Free Report: IBM Datacap vs. OpenText Capture

Find out what your peers are saying about IBM Datacap vs. OpenText Capture and other solutions. Updated: September 2026.

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See our IBM Datacap vs. OpenText Capture report.

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