We performed a comparison between HyperScience 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."One of the most valuable features of HyperScience is the user-training module. Whenever the extraction takes place, based on the way we have trained HyperScience, it would give us some success status or a certain confidence level. If the solution has processed something that it determined was not extracted correctly it will queue those items for manual review."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"We have seen pretty good accuracy."
"It provides the best accuracy for handwritten forms, which is a struggle in the industry. You can take processes with a lot of manual work and streamline them through this tool."
"The prebuilt algorithm for extracting foreign invoices is the most valuable feature because it eliminates the need for us to build anything from scratch."
"It's helped us free up time for other staff projects."
"We can integrate document understanding with other systems and applications."
"The most valuable feature in UiPath Document Understanding is the identification of the fields column in the PDF documents."
"UiPath enables us to automate manual tasks and duplicate them easily. The processes are highly accurate."
"Machine learning is the most valuable feature of UiPath Document Understanding."
"I believe the most valuable feature is the prebuilt algorithm for extracting information from foreign invoices."
"UiPath Document Understanding's image file extraction feature is the best in any OCR solution."
"HyperScience could improve the unstructured data extraction feature."
"They could work on the price and make it a bit more reasonable."
"The solution lacks support for a greater range of languages."
"The product's usability could be better. The first pain point is that we're getting the output in a different format, and we were expecting a different timetable. The second point is that if you want better results, HyperScience says you have to configure a minimal PDF or a maximum of 400 PDFs. If you want results with 400 PDFs for what's written by these doctors, then you also configure the maximum of 400 templates for that. So, it's essentially a lack of support from HyperScience. In the next release, it would be better if failure scenarios were reduced. It would also help if they offered different formats, inputs or injections, and added different scenarios."
"HyperScience has less capability while working on unstructured forms. Unstructured forms are those where there is no standard structure and the information can be anywhere on the form. They need to develop this capability."
"Extracting tables from certain documents could be improved."
"No solution is perfect and there are several different scenarios that could be improved in HyperScience. One area is where there are multiple tables in the same form I have seen HyperScience struggle. There is some issue with supporting the extraction from multiple tables involved on the same form. If this could improve, it would be a big benefit."
"I would like more flexibility in Document Understanding's validation center."
"Its pricing can be improved."
"The results of classifying patient documents within UiPath Document Understanding need to be more accurate."
"If there were more integrations with Veracode or the AWS server, so we don't have to completely transfer our data and keep data on our servers, that might increase security."
"The documentation should be more clear, or better training should be provided."
"Making the design of Forms AI more flexible and accommodating to companies' branding preferences would be beneficial."
"The extraction and classification process should be simplified."
"UiPath Document Understanding has challenges with handwriting and screenshots."
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HyperScience is ranked 6th in Intelligent Document Processing (IDP) with 7 reviews while UiPath Document Understanding is ranked 2nd in Intelligent Document Processing (IDP) with 45 reviews. HyperScience is rated 7.6, while UiPath Document Understanding is rated 8.2. The top reviewer of HyperScience writes "It has a lot of functionality, whatever we use, but a few things could be improved". On the other hand, the top reviewer of UiPath Document Understanding writes "Is easy to configure, user-friendly, and produces accurate results". HyperScience is most compared with ABBYY Vantage, UiPath, Instabase, Microsoft Power Automate and Automation Anywhere (AA), whereas UiPath Document Understanding is most compared with ABBYY Vantage, Instabase, Tungsten TotalAgility, Nanonets and Datamatics TruCap+. See our HyperScience vs. UiPath Document Understanding report.
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