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."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."
"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"We have seen pretty good accuracy."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"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."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"The solution removes manual processes and reduces human dependency. It takes a lot of effort to go through each physical mail or email, extract the data and transfer it to Excel. However, the solution automates the process and works 24/7. The tool gives a complete package to process and understand documents. The valuable features include taxonomy modification, classification, workstation, etc. There are out-of-the-box features like ML models which you can custom build. We have saved time with UiPath Document Understanding. We have seen a 50 percent improvement in scanning processes. Compared to humans, the tool runs 24/7. The human error rate has also been reduced. Our human error rate is five percent now compared to the previous 15 percent. UiPath Document Understanding has also freed up our staff who now spend more time on critical tasks."
"UiPath Document Understanding offers multiple types of extractors, which we can use to extract information from documents in a variety of ways."
"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."
"Scalability-wise, I rate the solution a nine out of ten...The solution's technical support is good."
"The quality of the input documents is crucial because sometimes healthcare providers prefer automated processing rather than human review."
"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 solution allows us to continue with vendors whose information comes in correctly and to stop the automation for vendors with many items that are not clearly defined."
"The most valuable feature in UiPath Document Understanding is the identification of the fields column in the PDF documents."
"They could work on the price and make it a bit more reasonable."
"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."
"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."
"HyperScience could improve the unstructured data extraction feature."
"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."
"This is an expensive solution."
"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."
"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 coding machine learning could be a little bit better."
"The solution must localize the built-in features for supporting Arabic scripts so we do not rely on third-party tools."
"The interface has room for improvement."
"The extraction and classification process should be simplified."
"I encountered difficulties with UiPath Document Understanding in determining the appropriate OCR to use for certain files."
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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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