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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
5.5
Number of Reviews
56
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Intelligent Document Processing (IDP) category, the mindshare of HyperScience is 6.0%, down from 8.0% compared to the previous year. The mindshare of UiPath Document Understanding is 12.4%, down from 14.0% 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

"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."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"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."
"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."
"We have seen pretty good accuracy."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"The solution is quite stable, and I am happy with its performance in my programs and processes."
"Document classification is very good."
"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."
"There are many features that can be added to the action center to keep humans in the loop to evaluate the accuracy of the extracted data."
"UiPath Document Understanding produces a high accuracy rate of 98 percent."
"It's great for document understanding for invoices and installments."
"The most valuable feature in UiPath Document Understanding is the identification of the fields column in the PDF documents."
"I believe the most valuable feature is the prebuilt algorithm for extracting information from foreign invoices."
 

Cons

"Extracting tables from certain documents could be improved."
"They could work on the price and make it a bit more reasonable."
"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."
"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."
"HyperScience could improve the unstructured data extraction feature."
"They often ask us to go through the documentation first instead of directly explaining or addressing the root cause of issues."
"The machine learning model needs improvement, as we receive more and more unstructured documents from clients that require a lot of manual validation."
"Extending the trial period for UiPath Document Understanding from three to six months would allow organizations to evaluate their capabilities thoroughly."
"Right now, we are trying to use Instabase, which is another tool for document understanding."
"The rising annual licensing cost of UiPath's Document Understanding product is a major turnoff for users."
"There are also problems with handwritten documents. The results from those are not 90 percent accurate. With scanned and native PDFs, it is 90 to 99 percent accurate, but the accuracy of handwritten documents is somewhat less. If they could improve on that, it would also be helpful."
"UiPath Document Understanding requires more database connectors."
"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 think HyperScience is cheaper when compared to other tools. They also have a lifetime licensing option."
"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."
"UiPath Document Understanding is priced high compared to its competition."
"UiPath Document Understanding offers fair pricing, primarily if you consider the number of resources and human work the solution reduces, plus the ROI you can get from it."
"I used the community version, so there was no fee."
"The last time we implemented UiPath Document Understanding the price was high."
"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."
"It's expensive, but you can reduce the price per license by getting more licenses. Overall, the pricing is okay."
"UiPath Document Understanding carries a premium price tag, but its current technological capabilities may not yet fully justify the cost."
"On a scale of one to ten with ten being the most expensive, I rate UiPath Document Understanding an eight on cost."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
12%
Insurance Company
10%
Financial Services Firm
16%
Computer Software Company
15%
Manufacturing Company
7%
Real Estate/Law Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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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 is your experience regarding pricing and costs for UiPath Document Understanding?
The small bundle that UiPath sells for Document Understanding is 60,000 units or pages. Clients need to come close to 60,000 pages a year or more.
What needs improvement with UiPath Document Understanding?
The main area for improvement for UiPath Document Understanding is pricing. They are cutting out the middle market because 60,000 pages are very high for that segment. To have that, they have to pa...
 

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.
865,295 professionals have used our research since 2012.