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."
"We have seen pretty good accuracy."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"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."
"One of the most valuable features is the intelligent recognition of the fields. The algorithm is able to recognize them based on the pattern. Also, the machine learning model enables you to use predefined solutions. The machine-learning capabilities of the solution are very cool."
"OCR technology is undoubtedly the most valuable feature and the feasibility of integrating data processes with AI and machine learning models is fascinating."
"I believe the most valuable feature is the prebuilt algorithm for extracting information from foreign invoices."
"Invoice processing is the most valuable feature. Most of my customers use Document Understanding for invoice processing. That's one of the most common use cases. Typically, each customer starts their RPA journey with the finance department because that's the area where you can see the most benefit."
"UiPath Document Understanding produces a high accuracy rate of 98 percent."
"It shortens the time of extracting data by 70 to 80%."
"UiPath Document Understanding offers multiple types of extractors, which we can use to extract information from documents in a variety of ways."
"UiPath enables us to automate manual tasks and duplicate them easily. The processes are highly accurate."
"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."
"The solution lacks support for a greater range of languages."
"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."
"Extracting tables from certain documents could be improved."
"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."
"They could work on the price and make it a bit more reasonable."
"HyperScience could improve the unstructured data extraction feature."
"Sometimes, when the number of items is very large, the solution doesn't properly identify them."
"The results of classifying patient documents within UiPath Document Understanding need to be more accurate."
"The interface has room for improvement."
"An area for improvement in UiPath Document Understanding is data extraction from scanned documents. It could be better because I've observed a ten percent failure or flaw whenever the vendor scans and converts documents into PDFs."
"There is still room for enhancement in capturing line items from invoices."
"The signature and handwriting are a pain point for the OCR and have room for improvement."
"I encountered difficulties with UiPath Document Understanding in determining the appropriate OCR to use for certain files."
"Its pricing can be improved."
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HyperScience is ranked 6th in Intelligent Document Processing (IDP) with 7 reviews while UiPath Document Understanding is ranked 3rd 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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