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

"All RPA tools used in the market have similar features and aspects that can be developed, however, specifically for Automation Anywhere, the ready-to-use templates which can be used as plug and play are a great feature."

"The CyberArk integration and setup are really amazing and it helps us to win deals for new projects."

"Automation Anywhere can have a significant impact on any company's operation, as it can automate a wide variety of tasks that are mundane, time-consuming, and the least productive."

"From my perspective, the most valuable features in Automation Anywhere are the ability to connect to different systems of records."

"We have saved customers 400% in terms of time saved by implementing this product."

"We found that Automation Anywhere was the easiest to use, and their offer was much more appealing compared to the other products, so that's why we ended up choosing them."

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

"The IQ Bot is unique. It is not available in another RPA tool that I am aware of, like UiPath or Blue Prism. IQ Bot converts unstructured data to structured data."

More Automation Anywhere pros

"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."

"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."

"The administration of the application following an error is most valuable, as we are able to know easily when something is stuck in the system."

"I can have all scanners accessible from my end."

"There's something that's very unique about IBM DataCap. It provides me with a good solution for extracting, reading the QR codes, and scanning them. In this stage, we are working in a UIT phase before implementing this protocol in all our branches. From my initial observation, IBM DataCap is good, it is not working too fast, but in a good manner for us."

"The most valuable features of IBM Datacap is the capturing and recognizing of pages, documents as well as the scanner and barcodes."

"The solution offers many features that are beneficial for customers."

More IBM Datacap pros

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

"OpenText Intelligent Capture is pretty good."

"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."

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

"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."

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

"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."

More OpenText Capture pros

Cons

"The Web Recorder should also include a feature where the user can select what browser you want it to run since it is currently using the Internet Explorer browser as default. Some of our web-based systems are currently not compatible with Internet Explorer and can only run using Firefox or Google Chrome."

"The goal of any automation is to provide efficiencies... I would like a default feature where each bot gives us data on all the benefits it provides from its process."

"When we need to upgrade the bot version for various applications like SAP, the compatibility issues could be easier to resolve. The financial team is using version 5 or 6, but the automation engineer recommends only version 6 because it is more compatible. I think Automation Anywhere could handle these compatibility issues better."

"AA has many features but the issue is with the loss of overhead on computing resources."

"IQ Bot is pretty good, but we can only run a maximum 150 documents."

"The data migration could be better."

"The initial setup was not that great. The road was very up and down."

"The current accuracy rate of 60% for document-based automations requires human intervention."

More Automation Anywhere cons

"I give the scalability of the solution a six out of ten."

"Third-party integration could be improved; it's very slow."

"Going forward, IBM needs to ensure that the output is perfect (as it can make the product) while staying true to platform's core."

"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."

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

"I would like better ease of use and more support options."

"IBM's Problem Management Report team isn't that effective. They're not helpful at all in some cases, and it can take two to three weeks to escalate to a higher PMR level."

"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."

More IBM Datacap cons

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

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

"The setup is medium complexity."

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

"I have not seen any return on investment from OpenText Capture."

"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."

More OpenText Capture cons

Pricing and Cost Advice

"The certifications are free of cost."

"They all are very competitive today. At the end of the day, it boils down to the negotiations that happen and what type of partner you are."

"Automation Anywhere is thought to be quite expensive, especially for smaller organizations."

"Pricing is affordable and I would recommend beginning with the Starter Package."

"I've seen the price vary by whether the client is going to scale and adopt a tool."

"Price is where I'm least satisfied. Other vendors are more willing to offer discounts."

"Annually, we are paying almost one million reais."

"Initially, they charged a premium, but now the rest of the vendors have increased their overall pricing and Automation Anywhere is not that high at this time. It's pretty viable."

More Automation Anywhere pricing and cost advice

"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."

"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."

"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."

"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."

"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."

"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."

"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."

More IBM Datacap pricing and cost advice

"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%

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.

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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 ...

See all answers

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

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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

Parascript FormXtra.AI 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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