We performed a comparison between IBM Datacap and OpenText Intelligent Capture based on real PeerSpot user reviews.
Find out in this report how the two Intelligent Document Processing (IDP) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's resiliency. There are multiple ways of identifying what you are looking for. There are multiple export formats."
"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 helps companies figure out how to use advanced imaging techniques, processes, best practices, and other tools."
"It's a platform, not a configured application, so you can do what you want with it."
"It is highly extensible, which we found to be most valuable. It is a very extensible solution because it is based on configurable rule sets. We were able to amend and adjust the solution and very easily add custom code and custom components. It does require some programming experience, but we found that not to be an issue. We liked its extensibility."
"It is the best solution for scanning purposes."
"At the forefront of my thoughts, 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."
"I can have all scanners accessible from my end."
"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."
"Being able to have accurate extraction is most valuable. It has machine learning and other tools to make the extraction more accurate."
"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."
"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."
"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."
"Our main language in Egypt is Arabic, and IBM DataCap does not support it perfectly. All our documentation is in Arabic. It's not English or any other language. However, we have overcome this problem by using QR codes in the document to extract the data from it. They should have better support for Arabic."
"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."
"The reading efficiency of the solution needs to be improved."
"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."
"The interface can be more intuitive."
"It can take some time to implement."
"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."
"I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents"
"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 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."
"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."
"If something is handwritten and attached to an email, it doesn't capture the information correctly."
"Knowledge of .NET is required to effectively use the solution or it can be complicated."
"The setup is medium complexity."
IBM Datacap is ranked 6th in Intelligent Document Processing (IDP) with 26 reviews while OpenText Intelligent Capture is ranked 8th in Intelligent Document Processing (IDP) with 7 reviews. IBM Datacap is rated 7.6, while OpenText Intelligent Capture is rated 8.2. The top reviewer of IBM Datacap writes "The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature". On the other hand, the top reviewer of OpenText Intelligent Capture writes "A powerful solution for custom scripting but .NET knowledge is required". IBM Datacap is most compared with ABBYY Vantage, Microsoft Power Automate, Tungsten TotalAgility, HyperScience and UiPath, whereas OpenText Intelligent Capture is most compared with ABBYY Vantage, Tungsten TotalAgility, UiPath Document Understanding, HyperScience and Hyland Brainware. See our IBM Datacap vs. OpenText Intelligent Capture report.
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