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 8.5. IBM holds a 4.4% mindshare in IDP, compared to OpenText’s 8.1% 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

1,154 Views
416 Comparison Views

88% willing to recommend

OpenText Intelligent Capture

Read 7 OpenText Intelligent Capture reviews

1,944 Views
850 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: December 2024).

Buyer's Guide

IBM Datacap vs. OpenText Intelligent Capture

December 2024

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Categories and Ranking

IBM Datacap

Ranking in Intelligent Document Processing (IDP)

7th

Average Rating

7.6

Reviews Sentiment

6.8

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

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Intelligent Document Processing (IDP) category, the mindshare of IBM Datacap is 4.4%, down from 4.9% compared to the previous year. The mindshare of OpenText Intelligent Capture is 8.1%, down from 10.0% 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

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

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

Knowledge of .NET is required to effectively use the solution or it can be complicated. I was able to train customers to use the solution if they had some .NET experience. The solution should offer a lightweight version that includes the OCR or document scanning and does not include the entire enterprise package with custom scripting.

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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

"Very scalable and stable data capture and extraction solution that's very simple to install."

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

"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 feedback from our clients that this solution has increased their efficiency and their turnaround time on opening any account for end users, thus attracting more customers."

"The solution automates manual data entry."

"The second thing that I like about Datacap is the fingerprint capture which is easy to configure on Datacap. From the form of the document, if a document is redundant in the same department, we can configure the capture based on the form of the documents"

"It reduces human error and saves time."

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

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 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 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."

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

Cons

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

"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."

"Currently, when you are entering invoices, you have to enter multiple rows. In Captiva the multiple rows will be dynamically added. This would be a beneficial feature for IBM to add."

"When I scan a document in Datacap that has a watermark or the document is a little distorted, the image output is poor. It either becomes completely black, or there is so much distortion that we cannot read the numbers or the addresses mentioned in the POD. When we scan a document, we expect the output to be at least 95 percent accurate."

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

"The user interfaces for exception processing can be tweaked. I commonly find that we try to tweak and customize some of those components to more of what the industry standard is. The product is still trying to play catch-up a little bit in those areas."

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

"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."

More IBM Datacap cons

"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."

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

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

"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."

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

"The setup is medium complexity."

Pricing and Cost Advice

"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."

"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."

"Pricing needs to stay competitive."

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

"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."

"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."

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."

See which vendors are best for you

Use our free recommendation engine to learn which Intelligent Document Processing (IDP) solutions are best for your needs.

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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%

Manufacturing Company

14%

Computer Software Company

13%

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 31% of the time

Microsoft Power Automate vs IBM Datacap

Compared 15% of the time

Amazon Textract vs IBM Datacap

Compared 15% of the time

Tungsten TotalAgility vs IBM Datacap

Compared 14% of the time

HyperScience vs IBM Datacap

Compared 7% of the time

More IBM Datacap Competitors

ABBYY Vantage vs OpenText Intelligent Capture

Compared 26% of the time

UiPath Document Understanding vs OpenText Intelligent Capture

Compared 18% of the time

Tungsten TotalAgility vs OpenText Intelligent Capture

Compared 18% of the time

Rossum vs OpenText Intelligent Capture

Compared 11% of the time

Hyland Brainware vs OpenText Intelligent Capture

Compared 5% of the time

More OpenText Intelligent Capture Competitors

Product Reports

Buyer's Guide

IBM Datacap

December 2024

Download IBM Datacap product report

Buyer's Guide

OpenText Intelligent Capture

December 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

December 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: December 2024.

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