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HyperScience vs UiPath IXP comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 18, 2026

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)
8th
Average Rating
7.6
Reviews Sentiment
7.4
Number of Reviews
7
Ranking in other categories
No ranking in other categories
UiPath IXP
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 January 2026, in the Intelligent Document Processing (IDP) category, the mindshare of HyperScience is 3.3%, down from 7.7% compared to the previous year. The mindshare of UiPath IXP is 7.3%, down from 15.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Market Share Distribution
ProductMarket Share (%)
UiPath IXP7.3%
HyperScience3.3%
Other89.4%
Intelligent Document Processing (IDP)
 

Featured Reviews

Satender Sajwan - PeerSpot reviewer
Operations Manager at Genpact
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
Founder and COO at InVibes
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

"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."
"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."
"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."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"UiPath Document Understanding produces a high accuracy rate of 98 percent."
"The UiPath Document Understanding tool is very easy to use for document understanding."
"Recently, they have introduced GenAI, which allows us to extract documents even faster and without hurdles."
"UiPath Document Understanding has helped to free up staff's time for other projects, but the cost is high."
"I believe the most valuable feature is the prebuilt algorithm for extracting information from foreign invoices."
"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."
"Has a very good machine learning feature."
"One of the most valuable features is the intelligent recognition of the fields. The algorithm is able to recognize them based on the pattern. Also, the machine learning model enables you to use predefined solutions. The machine-learning capabilities of the solution are very cool."
 

Cons

"The solution lacks support for a greater range of languages."
"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."
"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."
"Extracting tables from certain documents could be improved."
"Sometimes, when the number of items is very large, the solution doesn't properly identify them."
"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."
"The coding machine learning could be a little bit better."
"UiPath Document Understanding's ability to handle diverse document formats, including scans and signatures, needs improvement."
"One area of improvement for UiPath Document Understanding is the accuracy of handwritten documents. While the solution supports handwritten documents, the accuracy percentage is not as high as desired."
"Extending the trial period for UiPath Document Understanding from three to six months would allow organizations to evaluate their capabilities thoroughly."
"They often ask us to go through the documentation first instead of directly explaining or addressing the root cause of issues."
"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."
 

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."
"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 Document Understanding is considered a bit expensive compared to other options like Microsoft Azure, which can offer similar quality at a more affordable rate."
"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the solution a nine."
"UiPath Document Understanding compared to the competitors is high."
"The last time we implemented UiPath Document Understanding the price was high."
"While Robotic Process Automation tools can be expensive, UiPath Document Understanding is no exception."
"The cost per license is significant, approaching ten thousand dollars."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
9%
Financial Services Firm
18%
Computer Software Company
12%
Manufacturing Company
8%
Real Estate/Law Firm
6%
 

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

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 is your experience regarding pricing and costs for UiPath Document Understanding?
Both UiPath and Blue Prism are expensive. Customers are trying to move to some other Agentic space because of high pricing, so the new initiatives are put on hold, and they're looking for alternati...
What needs improvement with UiPath Document Understanding?
The challenge is more on handwriting and language-specific document extraction. There is some room for improvement when it comes to understanding handwriting. Document Understanding at the current ...
 

Comparisons

 

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 IXP and other solutions. Updated: December 2025.
881,036 professionals have used our research since 2012.