IBM Datacap vs OpenText Intelligent Capture comparison

IBM and OpenText are both solutions in the Intelligent Document Processing (IDP) category. IBM is ranked #7 with an average rating of 6.5, while OpenText is ranked #4 with an average rating of 8.0. IBM holds a 4.3% mindshare in IDP, compared to OpenText’s 8.3% mindshare. Additionally, 88% of IBM users are willing to recommend the solution, compared to 100% of OpenText users who would recommend it.

IBM Datacap

Read 26 IBM Datacap reviews

1,176 Views
433 Comparison Views

88% willing to recommend

OpenText Intelligent Capture

Read 7 OpenText Intelligent Capture reviews

1,972 Views
856 Comparison Views

100% willing to recommend

IBM Datacap

OpenText Intelligent Capture

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 10, 2024

IBM Datacap and OpenText Intelligent Capture are in the data capture and document processing category, with OpenText leading due to its comprehensive feature set.

Features: IBM Datacap offers high-level customization, seamless integration, and advanced analytics. OpenText Intelligent Capture provides a suite of capture tools, AI-driven data recognition, and adaptability across platforms.

Room for Improvement: IBM Datacap could improve in speed and complexity of configurations, OCR capabilities, and international language support. OpenText Intelligent Capture can enhance its deployment ease, reduce its learning curve, and better its user interface for new users.

Ease of Deployment and Customer Service: IBM Datacap is straightforward to deploy with strong customer service, while OpenText Intelligent Capture offers robust support though its deployment may be more complex due to diverse capabilities.

Pricing and ROI: IBM Datacap is budget-friendly with a favorable ROI, thanks to competitive pricing and ease of integration. OpenText, with a higher setup cost, offers significant ROI through scalability and feature range.

To learn more, read our detailed IBM Datacap vs. OpenText Intelligent Capture Report (Updated: October 2024).

Buyer's Guide

IBM Datacap vs. OpenText Intelligent Capture

October 2024

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Categories and Ranking

IBM Datacap

Ranking in Intelligent Document Processing (IDP)

7th

Average Rating

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

OpenText Intelligent Capture

Ranking in Intelligent Document Processing (IDP)

4th

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the Intelligent Document Processing (IDP) category, the mindshare of IBM Datacap is 4.3%, down from 5.1% compared to the previous year. The mindshare of OpenText Intelligent Capture is 8.3%, down from 10.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Intelligent Document Processing (IDP)

Featured Reviews

Amena Khidr

Sales Manager - Government Sector at Summit Technology Solution

Oct 24, 2023

The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature

The standout feature of this intelligent product is its remarkable capability. This project we're currently engaged in revolves around streamlining workflows within both our company and the customer's company. It entails handling information from various documents with diverse formats and types, even when they contain the same data. The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature. Moreover, leveraging machine learning is crucial since our customer deals with an extensive archive of over five million documents. Machine learning can significantly alleviate the backlog by becoming well-versed in various scenarios they might encounter during their work once we've completed our application.

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Shital Funde

Managar at a computer software company with 1,001-5,000 employees

Oct 25, 2022

A powerful solution for custom scripting but .NET knowledge is required

Until recently, I use the solution at my prior employer for various document recognition and automation processes. We developed the solution for customers with various virtual machines and scan stations, some with more than 1,000 resources. For one project, I provided full-fledged invoice…

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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

"It is the best solution for scanning purposes."

"I work for an insurance company, and we use Datacap for document processing."

"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."

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

"It is very easy to develop this software. It is low code, and if you can't find the things you need on it, you can develop custom actions with more complex code underneath. They sync well, which is very useful for automating a lot of processes. It is a really valuable feature for the clients because we can ingest information and automate plenty of processes for them. The operators don't have to waste that much time on tasks. With Datacap, they can be automated."

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

"It reduces human error and saves time."

"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."

More IBM Datacap pros

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

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

"The automated version of the vendor invoice management is great."

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

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

Cons

"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 solution's scalability needs improvement."

"We have page requirements where some values must be copied on each page. For example, say I need to scan a bunch of documents, and the name will be a field on every page. We don't have a default functionality in Datacap to copy the field value on the first page to all the pages. That feature would make the documents easy to prepare."

"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."

"The IBM Datacap site actually is on the newer inside. They will give it as a plugin only."

"The reading efficiency of the solution needs to be improved."

"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."

"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."

More IBM Datacap cons

"The setup is medium complexity."

"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."

"It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement."

"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."

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

"The area for improvement primarily centers around licensing concerns rather than technical issues. Captiva, intended for larger clients, poses challenges for medium and small businesses due to licensing costs. The current licensing model is based on volume, such as purchasing a volume for one million dollars per year for scanning. This pricing structure may be prohibitive for companies with constrained budgets. Another aspect requiring attention is the mobile capture feature, which, although experiencing recent enhancements in intelligent document processing through AI, could benefit from further improvements. Specifically, there is room for enhancement in enabling users to efficiently capture documents using their smartphones."

Pricing and Cost Advice

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

"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."

"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."

"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."

"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."

"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."

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

Financial Services Firm

18%

Computer Software Company

14%

Government

12%

Insurance Company

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

14%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM Datacap?

The installation of the solution is very simple.

See all answers

What is your experience regarding pricing and costs for IBM Datacap?

This solution is the most expensive in the market.

See all answers

What needs improvement with IBM Datacap?

IBM Datacap cannot fetch unstructured data properly; it always gives you wrong information, so no one uses this solution for unstructured data. Even for structured data, sometimes the administrator...

See all answers

What do you like most about OpenText Intelligent Capture?

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

See all answers

What needs improvement with OpenText Intelligent 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 lice...

See all answers

What is your primary use case for OpenText Intelligent Capture?

It is designed for the automated capture and recognition of documents. Whether obtained through scanning, emails, faxes, or other sources, documents can be captured and data automatically extracted...

See all answers

Comparisons

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Compared 14% of the time

Microsoft Power Automate vs IBM Datacap

Compared 14% of the time

Amazon Textract vs IBM Datacap

Compared 14% of the time

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ABBYY Vantage vs OpenText Intelligent Capture

Compared 30% of the time

UiPath Document Understanding vs OpenText Intelligent Capture

Compared 20% of the time

Tungsten TotalAgility vs OpenText Intelligent Capture

Compared 19% of the time

HyperScience vs OpenText Intelligent Capture

Compared 12% of the time

More OpenText Intelligent Capture Competitors

Product Reports

Buyer's Guide

IBM Datacap

October 2024

Download IBM Datacap product report

Buyer's Guide

OpenText Intelligent Capture

October 2024

Download OpenText Intelligent Capture product report

Also Known As

Datacap

OpenText Captivas

Learn More

IBM

OpenText

Overview

IBM Datacap helps you streamline the capture, recognition and classification of business documents and extract important information. Datacap supports multiple-channel capture by processing paper documents on scanners, mobile devices, multi-function peripherals and fax. It uses natural language processing, text analytics and machine learning technologies, like those in IBM Watson, to automatically identify, classify and extract content from unstructured or variable documents. The software can reduce labor and paper costs, deliver meaningful information and support faster decision making.

OpenText™ Intelligent Capture, formerly OpenText Captiva, is an enterprise capture platform, providing omni-channel capabilities for collecting everything from scanned paper to chatbots. It is not just for organizing content at the front door, but automating processes across the enterprise. It can automate processes for standard documents, such as Financial Accounts Payable and Accounts Receivable, or complex documents, such as contracts or partner requests that require action based on the document’s content.

Sample Customers

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

Information Not Available

Buyer's Guide

IBM Datacap vs. OpenText Intelligent Capture

October 2024

Free Report: IBM Datacap vs. OpenText Intelligent Capture

Find out what your peers are saying about IBM Datacap vs. OpenText Intelligent Capture and other solutions. Updated: October 2024.

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