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."Being able to have accurate extraction is most valuable. It has machine learning and other tools to make the extraction more accurate."
"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 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."
"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."
"I like UiPath's machine-learning capabilities. My first impressions were good, but we only use it in a few processes. We intend to expand our use of these features in other situations, but we're still learning how to use the AI functions. We use the OCR much more."
"I like the clear and organized way in which UiPath has structured the labeling process, as well as the user-friendly development environment."
"The best feature, in my opinion, is, we can train the document using a machine-learning classifier."
"Has a very good machine learning feature."
"The best feature is pre-labeling, as it eliminates the need to manually label each data point."
"It shortens the time of extracting data by 70 to 80%."
"I found UiPath Document Understanding helpful in automating different types of processes. One process can be split into multiple processes or sub-processes. You can also use it for ID management or extracting data from IDs, such as passports or government-issued IDs, which I like."
"Document Understanding's best features are the action center and verification mode."
"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."
"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 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."
"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."
"The signature and handwriting are a pain point for the OCR and have room for improvement."
"The solution must localize the built-in features for supporting Arabic scripts so we do not rely on third-party tools."
"They could work on the digitizing and classification of documents."
"It would be ideal if they could include more packages for more use cases."
"There could be a feature similar to ChatGPT where when you ask about a document, you get an answer about what is there in that document. If possible, this kind of feature can be incorporated so that you do not need to open a file and take the value. It should directly detect that instead of opening and validating the document. Such a feature will speed up the process."
"Sometimes we have challenges when we need to read something like a barcode, so we must use the Cisco algorithm to solve the issue, or I have to ask developers for help specifically to capture this kind of information. There are other processes, such as refunds, that we still must do manually because there is no way to use automation to solve this issue."
"Making the design of Forms AI more flexible and accommodating to companies' branding preferences would be beneficial."
"UiPath Document Understanding has challenges with handwriting and screenshots."
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OpenText Intelligent Capture is ranked 5th in Intelligent Document Processing (IDP) with 7 reviews while UiPath Document Understanding is ranked 2nd in Intelligent Document Processing (IDP) with 46 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, IBM Datacap, HyperScience and Hyland Brainware, whereas UiPath Document Understanding is most compared with ABBYY Vantage, Instabase, Tungsten TotalAgility, Nanonets and IQ Bot. See our OpenText Intelligent Capture vs. UiPath Document Understanding report.
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