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."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."
"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 reduces human error and saves time."
"The solution offers many features that are beneficial for customers."
"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."
"It's a platform, not a configured application, so you can do what you want with it."
"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 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 enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."
"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."
"The solution is very powerful because it allows for custom scripting."
"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."
"Third-party integration could be improved; it's very slow."
"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."
"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."
"Datacap has performance issues when processing large volumes of documents. We're doing 18,000 pages daily. Scanning takes almost 20-30 minutes, but it normally takes one or two minutes. We informed IBM and opened a ticket for that. They forwarded the issue to developers but didn't give a specific timeline for it to be resolved. Version 8.1 is already at the end of support."
"The IBM Datacap site actually is on the newer inside. They will give it as a plugin only."
"I would like to see integration of Watson AI technology into Datacap."
"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."
"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 setup is medium complexity."
"Knowledge of .NET is required to effectively use the solution or it can be complicated."
"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."
"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."
"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."
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, 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.
See our list of best Intelligent Document Processing (IDP) vendors.
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