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."
"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."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"UiPath Document Understanding is user-friendly, with an easy-to-use self-trained model, and the OCR it provides does a good job even with scanned PDFs."
"Document classification is very good."
"In UiPath Document Understanding, I use two extractors. One is the Intelligent Form Extractor and the other is the Machine Learning Extractor. The first one is very useful and user-friendly. When we have a single template or two to three templates, Intelligent Form Extractor is much easier to use. But if we have multiple templates, it's better to go with ML Extractor as you can train the model with different templates."
"The most valuable feature is the ability for humans to train the bot."
"Has a very good machine learning feature."
"The entity-level extraction is very good. The workflow is also very good."
"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 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."
"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."
"The solution lacks support for a greater range of languages."
"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 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 could improve the unstructured data extraction feature."
"Extracting tables from certain documents could be improved."
"They could work on the price and make it a bit more reasonable."
"UiPath Document Understanding has challenges with handwriting and screenshots."
"I encountered difficulties with UiPath Document Understanding in determining the appropriate OCR to use for certain files."
"The machine learning model needs improvement, as we receive more and more unstructured documents from clients that require a lot of manual validation."
"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."
"Currently, we have to train multiple templates because the column size and row size change in each PDF."
"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."
"Sometimes, when the number of items is very large, the solution doesn't properly identify them."
"Document Understanding's handwriting comprehension is improving, but it's still not as good as printed documents. Machine learning models, in general, are becoming mature, but it's still not to a point where I will give it five stars. I may give it a two or three. It is still not advanced enough to identify whatever handwritten content you give to it. It can process handwriting, but you need a human to validate it. With more training, it will become more automated. It will be better by 2025, but it is still not mature enough"
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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 46 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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