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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)
9th
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
5.1
Number of Reviews
57
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Intelligent Document Processing (IDP) category, the mindshare of HyperScience is 5.7%, down from 8.0% compared to the previous year. The mindshare of UiPath Document Understanding is 11.0%, down from 14.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Market Share Distribution
ProductMarket Share (%)
UiPath Document Understanding11.0%
HyperScience5.7%
Other83.3%
Intelligent Document Processing (IDP)
 

Featured Reviews

Satender Sajwan - PeerSpot reviewer
Gave a better output every time, reduced our touch time by 80%, and had a robust reporting mechanism to improve the process
We tested HyperScience on structured formats of the forms, and it worked really well. We tested it with semi-structured formats, and it worked well. We also tested creating a new form that does not have any format. 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. Such a capability would make it a perfect system for processes like data entry, accounts tables, etc. Secondly, before putting the actual volume in the tool, I believe that we have to create a manual form every time. If the procedure of creating the forms can be shortened or automated, it would help. It would reduce the manual effort of creating a form every time you start working on it. There should be an automated form creation system that does not require any manual intervention. Whenever a new form comes, the system should be able to create a dummy form for that. That will help.
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

"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"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."
"We have seen pretty good accuracy."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent 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."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"It has advanced capabilities compared to other competitors, whether Blue Prism or Automation Anywhere."
"For me, the most valuable aspects of UiPath Document Understanding are its time efficiency and minimal human intervention."
"The quality of the input documents is crucial because sometimes healthcare providers prefer automated processing rather than human review."
"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."
"OCR technology is undoubtedly the most valuable feature and the feasibility of integrating data processes with AI and machine learning models is fascinating."
"Document Understanding has better machine learning or ML capabilities, and that is why I prefer Document Understanding."
"Document Understanding's best features are the action center and verification mode."
"AI Center is helpful for creating data sets. Machine learning helps with some extraction. The ML extractor gives good results after training."
 

Cons

"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."
"Extracting tables from certain documents could be improved."
"HyperScience could improve the unstructured data extraction feature."
"They could work on the price and make it a bit more reasonable."
"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."
"Extending the trial period for UiPath Document Understanding from three to six months would allow organizations to evaluate their capabilities thoroughly."
"This is an expensive solution."
"There is still room for enhancement in capturing line items from invoices."
"UiPath Document Understanding has difficulty identifying handwritten documents, and there is room for improvement."
"UiPath Document Understanding could be more user-friendly."
"A lot of coding is required to make handwriting decoding happen; it's not so easy as plug and play."
"The machine learning model needs improvement, as we receive more and more unstructured documents from clients that require a lot of manual validation."
"Sometimes, when the number of items is very large, the solution doesn't properly identify them."
 

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."
"I used the community version, so there was no fee."
"The last time we implemented UiPath Document Understanding the price was high."
"UiPath's pricing model is complex and based on AI units, which are consumed during model training and use."
"The price for UiPath Document Understanding is a bit expensive."
"UiPath Document Understanding is expensive, with the basic annual package including 6,000 documents and the next package including one million documents, a huge price difference."
"UiPath has a higher upfront cost, but its Document Understanding feature is not a significant additional expense compared to the overall platform."
"I find the pricing to be fair."
"Document Understanding's price is quite high."
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
13%
Computer Software Company
12%
Insurance Company
10%
Financial Services Firm
17%
Computer Software Company
16%
Manufacturing Company
7%
Real Estate/Law Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Large Enterprise7
By reviewers
Company SizeCount
Small Business19
Midsize Enterprise11
Large Enterprise26
 

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?
It can be cheaper, but for the work it does, it's decent. It's not a very affordable solution.
What needs improvement with UiPath Document Understanding?
For UiPath Document Understanding, there is a possibility for improving accuracy with multilingual documents, especially handwritten ones. It doesn't have very great accuracy, particularly for hand...
 

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: September 2025.
869,952 professionals have used our research since 2012.