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."The big thing these days is really the Insight Edition component and being able to build annotators to extract from literally unstructured content: paragraphs and information where there's no start anchor point to define where that data is located. There could be a number of entities in that which you have to draw information from. Being able to extract from them is really the differentiator today between that product and many of the other products..."
"The solution offers many features that are beneficial for customers."
"The administration of the application following an error is most valuable. We are able to know easily when something is stuck in the system."
"The installation of the solution is very simple."
"It's resiliency. There are multiple ways of identifying what you are looking for. There are multiple export formats."
"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."
"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."
"Both Datacap Studio and Datacap Navigator are great features."
"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 solution is very powerful because it allows for custom scripting."
"The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."
"It can take some time to implement."
"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."
"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."
"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 interface can be more intuitive."
"The solution's scalability needs improvement."
"They have to stop focusing on new development and stabilize the latest release. It is not stable."
"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."
"I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents"
"The setup is medium complexity."
"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."
"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."
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.
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