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 helps companies figure out how to use advanced imaging techniques, processes, best practices, and other tools."
"One of the valuable features of Datacap is the user experience. One thing that IBM did a few years ago was they standardized all of their ECM products on Content Navigator, including Datacap. If you're an IBM ECM customer you have FileNet, you have Datacap, you have StoredIQ and you have a consistent user experience, user interface."
"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."
"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 administration of the application following an error is most valuable. We are able to know easily when something is stuck in the system."
"Both Datacap Studio and Datacap Navigator are great features."
"I can have all scanners accessible from my end."
"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"
"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."
"The automated version of the vendor invoice management is great."
"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."
"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."
"They have to stop focusing on new development and stabilize the latest release. It is not stable."
"I give the scalability of the solution a six out of ten."
"Reporting and analytics seem to often be something of an afterthought. With Datacap, they've started building out some dashboards, but one thing we hear from our clients a lot is, "Well, gee, we really love reports. What Datacap has is not really helpful. We'd like something better. We'd like more dashboards." That's one area where we've seen some feedback that the product could do better."
"Recognition between certain numbers and letters could be improved. Sometimes this solution misreads five with an "S" for Singapore."
"The interface can be more intuitive."
"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."
"I would like to see integration of Watson AI technology into Datacap."
"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 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."
"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"
IBM Datacap is ranked 8th in Intelligent Document Processing (IDP) with 26 reviews while OpenText Intelligent Capture is ranked 5th 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, Tungsten TotalAgility, Microsoft Power Automate, HyperScience and Hyland OnBase, 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.
See our list of best Intelligent Document Processing (IDP) vendors.
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