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HyperScience vs UiPath Document Understanding comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 10, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

HyperScience
Ranking in Intelligent Document Processing (IDP)
10th
Average Rating
7.6
Reviews Sentiment
7.4
Number of Reviews
7
Ranking in other categories
No ranking in other categories
UiPath Document Understanding
Ranking in Intelligent Document Processing (IDP)
2nd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
53
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Intelligent Document Processing (IDP) category, the mindshare of HyperScience is 6.4%, down from 8.1% compared to the previous year. The mindshare of UiPath Document Understanding is 12.6%, down from 13.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP)
 

Featured Reviews

Abdul Quadir - PeerSpot reviewer
It has a lot of functionality, whatever we use, but a few things could be improved
Extracting tables from certain documents could be improved. The next product release should include a utility that provides HyperScience JSON output. It would be related to any application, like other platforms and include Power Apps. We need to impact their REST API, but we would need a connection bridge application. And the second feature would be HyperScience providing different outputs. At present, HyperScience only provides JSON output. If a business needs a different output, we must create the utility ourselves and provide that data to XML or something similar. But if HyperScience could do that, we would no longer need third-party apps.
Gangadhar Wali - PeerSpot reviewer
Pre-trained models work well, but it is very expensive
We have to do manual validation for some of the things due to the OCR engine not being so accurate. For example, S is read as 5, 5 as S, 2 as Z, and Z as 2. In the case of currency, if one dot is missing, it gives a completely incorrect number. These discrepancies should be fixed because if the OCR itself doesn't work properly, then AI doesn't help with that. When AI is used for training models, the AI Center works precisely, but if the data itself is wrong, we can't do anything. If the extraction of data is proper, it definitely helps. However, 20% errors could be reduced if the OCR engine were better. In future updates, I would like to see better handling of issues such as when a dot is missing in currency, for example, with dollars, it should handle that automatically. It's very expensive. If the volume increases, we can't afford to use Document Understanding. We are thinking of moving to another solution because we are expecting 80,000 to 100,000 invoices.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I like that compared to other tools, HyperScience works best with handwritten documents."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"We have seen pretty good accuracy."
"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."
"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."
"Recently, they have introduced GenAI, which allows us to extract documents even faster and without hurdles."
"The highly visual and user-friendly interface was a standout feature."
"The validation process is easy. The Validation Station shows you the extracted data on one side and the document on the other, so you can easily scroll down and check if the data is accurate. You just need to click a checkbox. If you don't think it is fine, you have the option to add an exception. Based on that exception, you can create multiple conditions for how to address the same issue if it happens again."
"We can integrate document understanding with other systems and applications."
"This solution has played a significant role in drastically reducing human errors by ensuring that 95% to 98% of tasks are done through the system."
"The taxonomy and Validation Station are among the most helpful features for us. If anything is extracted incorrectly, we can manually extract it there."
"With Document Understanding, tasks that would normally take eight hours manually can be completed in three to five hours. It still requires some human intervention, but 90 percent of the processing can be automated."
"Has a very good machine learning feature."
 

Cons

"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."
"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 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."
"The solution lacks support for a greater range of languages."
"HyperScience could improve the unstructured data extraction feature."
"The results of classifying patient documents within UiPath Document Understanding need to be more accurate."
"UiPath Document Understanding could be more user-friendly."
"I would like more flexibility in Document Understanding's validation center."
"UiPath Document Understanding, while effective for its own platform, could be even more valuable if it integrated with other commonly used platforms, allowing for a more universal approach to document processing."
"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."
"There is room for improvement in handwriting processes."
"It would be ideal if they could include more packages for more use cases."
"Sometimes we have challenges when we need to read something like a barcode, so we must use the Cisco algorithm to solve the issue, or I have to ask developers for help specifically to capture this kind of information. There are other processes, such as refunds, that we still must do manually because there is no way to use automation to solve this issue."
 

Pricing and Cost Advice

"I don't have any idea about the licensing costs, but I know that there was a per-page charge. They had different models of pricing. One of them was based on the minimum number of pages, and we had a fixed price. So, the price model depends on the volume that is coming through HyperScience."
"I think HyperScience is cheaper when compared to other tools. They also have a lifetime licensing option."
"UiPath Document Understanding is considered a bit expensive compared to other options like Microsoft Azure, which can offer similar quality at a more affordable rate."
"UiPath Document Understanding compared to the competitors is high."
"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the solution a nine."
"Our clients are concerned about the volume-based pricing model, as UiPath charges more than other vendors in the market."
"UiPath is a pricey tool for small customers."
"I used the community version, so there was no fee."
"One of the biggest challenges we face with UiPath is the pricing structure."
"I do not know about its price, but for large organizations, UiPath is cheap, whereas, for small organizations, UiPath is high. For example, if 500 licenses are needed for one company, UiPath is cheap. If only 5 licenses are required, UiPath is costly."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
11%
Manufacturing Company
10%
Insurance Company
10%
Financial Services Firm
16%
Computer Software Company
16%
Real Estate/Law Firm
7%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Ask a question
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What do you like most about UiPath Document Understanding?
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.
What needs improvement with UiPath Document Understanding?
Handwriting recognition in UiPath Document Understanding is very difficult. It is particularly challenging to fetch handwriting, government official seals, or authorized signatures. When working wi...
 

Overview

 

Sample Customers

Hyperscience's customers are some of the top enterprises in the Insurance, Government, Financial Services, and Healthcare industries.
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Find out what your peers are saying about HyperScience vs. UiPath Document Understanding and other solutions. Updated: July 2025.
863,429 professionals have used our research since 2012.