We performed a comparison between IBM Datacap 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 reduces human error and saves time."
"It is the best solution for scanning purposes."
"The most valuable feature is its ability to capture data, which changes all the time into different formats."
"I work for an insurance company, and we use Datacap for document processing."
"While we are doing indexing, we tag the document type. It's programmed inside of Datacap to automatically detect the document based on a given template. It auto-indexes that document, which means that it automatically tags the correct document type to the scanned document."
"The solution automates manual data entry."
"It helps companies figure out how to use advanced imaging techniques, processes, best practices, and other tools."
"There's something that's very unique about IBM DataCap. It provides me with a good solution for extracting, reading the QR codes, and scanning them. In this stage, we are working in a UIT phase before implementing this protocol in all our branches. From my initial observation, IBM DataCap is good, it is not working too fast, but in a good manner for us."
"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."
"The best feature, in my opinion, is, we can train the document using a machine-learning classifier."
"The quality of the input documents is crucial because sometimes healthcare providers prefer automated processing rather than human review."
"The prebuilt algorithm for extracting foreign invoices is the most valuable feature because it eliminates the need for us to build anything from scratch."
"For me, the most valuable aspects of UiPath Document Understanding are its time efficiency and minimal human intervention."
"Document classification is very good."
"The machine learning (ML) extractor is valuable. It helps in extracting information from even unstructured documents. It can sometimes also extract information from a written document. Without much manual intervention, it is able to process the documents. This is a unique feature of UiPath Document Understanding."
"I believe the most valuable feature is the prebuilt algorithm for extracting information from foreign invoices."
"I would like better ease of use and more support options."
"I would like to see integration of Watson AI technology into Datacap."
"The solution's scalability needs improvement."
"The reading efficiency of the solution needs to be improved."
"The user interfaces for exception processing can be tweaked. I commonly find that we try to tweak and customize some of those components to more of what the industry standard is. The product is still trying to play catch-up a little bit in those areas."
"I give the scalability of the solution a six out of ten."
"One of the things that we wished for was to have an easier way to carry out the customizations. Currently, if you want to customize data, you need to have a developer with C# knowledge. If IBM could implement a no-code or low-code platform for Datacap, it would be easier to adjust it without needing a developer, which was always the most difficult part."
"What could be improved in IBM Datacap from a technical perspective is having everything together all in one place, rather than having several different interfaces. The addition of cloud-based OCR technology would also make this solution better. There's also room for improvement for their technical support."
"I would like more flexibility in Document Understanding's validation center."
"UiPath Document Understanding has challenges with handwriting and screenshots."
"One area of improvement for UiPath Document Understanding is the accuracy of handwritten documents. While the solution supports handwritten documents, the accuracy percentage is not as high as desired."
"The UiPath APIs lack reliable table parsing."
"UiPath Document Understanding has difficulty identifying handwritten documents, and there is room for improvement."
"UiPath Document Understanding requires more database connectors."
"This is an expensive solution."
"There is also room for improvement in long-running table extraction. If a table continues for more than 10 pages, in some cases, we have observed that it only extracts six or seven pages and skips the last pages."
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IBM Datacap is ranked 6th in Intelligent Document Processing (IDP) with 26 reviews while UiPath Document Understanding is ranked 3rd in Intelligent Document Processing (IDP) with 45 reviews. IBM Datacap is rated 7.6, while UiPath Document Understanding 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 UiPath Document Understanding writes "Is easy to configure, user-friendly, and produces accurate results". IBM Datacap is most compared with ABBYY Vantage, Microsoft Power Automate, Tungsten TotalAgility, HyperScience and OpenText Intelligent Capture, whereas UiPath Document Understanding is most compared with ABBYY Vantage, Instabase, Tungsten TotalAgility, Nanonets and OpenText Intelligent Capture. See our IBM Datacap vs. UiPath Document Understanding report.
See our list of best Intelligent Document Processing (IDP) vendors.
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