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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)
1st
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 February 2026, in the Intelligent Document Processing (IDP) category, the mindshare of HyperScience is 3.1%, down from 7.4% compared to the previous year. The mindshare of UiPath IXP is 6.6%, down from 14.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Market Share Distribution
ProductMarket Share (%)
UiPath IXP6.6%
HyperScience3.1%
Other90.3%
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

"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."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"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."
"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 the clear and organized way in which UiPath has structured the labeling process, as well as the user-friendly development environment."
"The prebuilt algorithm for extracting foreign invoices is the most valuable feature because it eliminates the need for us to build anything from scratch."
"The UiPath Document Understanding tool is very easy to use for document understanding."
"The entity-level extraction is very good. The workflow is also very good."
"Machine learning is the most valuable feature of UiPath Document Understanding."
"OCR technology is undoubtedly the most valuable feature and the feasibility of integrating data processes with AI and machine learning models is fascinating."
"AI Center is helpful for creating data sets. Machine learning helps with some extraction. The ML extractor gives good results after training."
"We are working with 40,000 different vendor templates. Document Understanding can understand and process various formats without much manual effort to configure the templates. That wasn't the case when we were using Microsoft."
 

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."
"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."
"They could work on the price and make it a bit more reasonable."
"HyperScience could improve the unstructured data extraction feature."
"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."
"They often ask us to go through the documentation first instead of directly explaining or addressing the root cause of issues."
"There is room for improvement in handwriting processes."
"The UiPath APIs lack reliable table parsing."
"The rising annual licensing cost of UiPath's Document Understanding product is a major turnoff for users."
"Sometimes, when the number of items is very large, the solution doesn't properly identify them."
"At times, the scanning functionality of the tool may fail to generate accurate output, resulting in the need for manual input."
"Currently, we have to train multiple templates because the column size and row size change in each PDF."
"The machine learning model needs improvement, as we receive more and more unstructured documents from clients that require a lot of manual validation."
 

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."
"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the solution a nine."
"I find the pricing to be fair."
"Our clients are concerned about the volume-based pricing model, as UiPath charges more than other vendors in the market."
"One of the biggest challenges we face with UiPath is the pricing structure."
"UiPath's pricing model is complex and based on AI units, which are consumed during model training and use."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Insurance Company
10%
Computer Software Company
9%
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
9%
Insurance Company
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?
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: February 2026.
882,813 professionals have used our research since 2012.