We performed a comparison between OpenText Intelligent Capture and UiPath Document Understanding 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 allows you to image capture, scan documents and use machine learning to automatically index and tie them."
"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."
"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."
"Being able to have accurate extraction is most valuable. It has machine learning and other tools to make the extraction more accurate."
"The most valuable feature in UiPath Document Understanding is the identification of the fields column in the PDF documents."
"The best feature, in my opinion, is, we can train the document using a machine-learning classifier."
"UiPath Document Understanding is user-friendly, with an easy-to-use self-trained model, and the OCR it provides does a good job even with scanned PDFs."
"UiPath provides a useful feature that allows us to classify documents as invoices or not."
"We can integrate document understanding with other systems and applications."
"Document Understanding has better machine learning or ML capabilities, and that is why I prefer Document Understanding."
"We are working with 40,000 different vendor templates. Document Understanding can understand and process various formats without much manual effort to configure the templates. That wasn't the case when we were using Microsoft."
"Scalability-wise, I rate the solution a nine out of ten...The solution's technical support is good."
"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 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."
"Knowledge of .NET is required to effectively use the solution or it can be complicated."
"If something is handwritten and attached to an email, it doesn't capture the information correctly."
"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."
"I would like more flexibility in Document Understanding's validation center."
"There is room for improvement in UiPath Document Understanding's pricing. It is expensive for small clients. Currently, there is a big gap between the basic package and the 200,000 packages. There is no package in the middle for small agencies."
"The machine learning model needs improvement, as we receive more and more unstructured documents from clients that require a lot of manual validation."
"The results of classifying patient documents within UiPath Document Understanding need to be more accurate."
"It would be much easier if UiPath increased the count of pages. Currently, they are allowing one million pages for $10,000 per month. I would prefer to increase the page count or reduce the dollar count in terms of processing the documents. I would prefer $6,000 per month for processing 2 to 3 million pages per month. It will then be much easier for companies with a low budget to use this product."
"The extraction and classification process should be simplified."
"UiPath Document Understanding has difficulty identifying handwritten documents, and there is room for improvement."
"UiPath Document Understanding could be more user-friendly."
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OpenText Intelligent Capture is ranked 5th in Intelligent Document Processing (IDP) with 7 reviews while UiPath Document Understanding is ranked 3rd in Intelligent Document Processing (IDP) with 45 reviews. OpenText Intelligent Capture is rated 8.2, while UiPath Document Understanding is rated 8.2. The top reviewer of OpenText Intelligent Capture writes "A powerful solution for custom scripting but .NET knowledge is required". On the other hand, the top reviewer of UiPath Document Understanding writes "Is easy to configure, user-friendly, and produces accurate results". OpenText Intelligent Capture is most compared with ABBYY Vantage, Tungsten TotalAgility, HyperScience, IBM Datacap and Hyland Brainware, whereas UiPath Document Understanding is most compared with ABBYY Vantage, Instabase, Tungsten TotalAgility, Nanonets and HyperScience. See our OpenText Intelligent Capture vs. UiPath Document Understanding report.
See our list of best Intelligent Document Processing (IDP) vendors.
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