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HyperScience vs UiPath IXP comparison

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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

Automation Anywhere
Sponsored
Ranking in Intelligent Document Processing (IDP)
1st
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
665
Ranking in other categories
Business Process Management (BPM) (2nd), Robotic Process Automation (RPA) (2nd), Process Mining (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (2nd), AI Legal & Compliance (1st), AI Finance & Accounting (2nd), AI Procurement & Supply Chain (1st)
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 IXP
Ranking in Intelligent Document Processing (IDP)
2nd
Average Rating
8.0
Reviews Sentiment
5.2
Number of Reviews
57
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, down from 3.6% compared to the previous year. The mindshare of HyperScience is 3.1%, down from 5.7% compared to the previous year. The mindshare of UiPath IXP is 4.5%, down from 11.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere3.4%
UiPath IXP4.5%
HyperScience3.1%
Other89.0%
Intelligent Document Processing (IDP)
 

Featured Reviews

Venkat Sivaprakash - PeerSpot reviewer
Management Consultant at Accenture
Has significantly improved document-driven workflows and reduced processing time across finance and HR functions
Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.
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.
reviewer2886744 - PeerSpot reviewer
Consultant at a outsourcing company with 201-500 employees
Automation has transformed invoice extraction and has reduced manual processing time dramatically
When it comes to improvements in UiPath IXP, there is a challenge with different languages, particularly Arabic invoices or handwritten ones, where there is some mismatch or difference in extraction. This could be improved. For instance, if there is a "Z" available on the screen, it may be identified as "2." Improvements in these two areas from the extraction point of view are necessary, along with considerations regarding pricing levels. In terms of support, UiPath is performing very well. Whenever we require assistance from UiPath, it has been positive. However, I would suggest that there is room for improvement in identifying complex different layout invoices, particularly for handwritten text, since there is potential for improvement in that area.

Quotes from Members

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

Pros

"The Automation Copilot is helpful. It will automatically give you all the solutions your bot requires. It's like a dictionary."
"The return on investment from Automation Anywhere at our organization has been both tangible and intangible, delivering value far beyond the initial financial calculation."
"I definitely find that it has helped increase productivity."
"Co-pilot certainly makes the job easier if the client has a subscription. It allows me to analyze desktop flows and activities and create flows using natural language."
"The most valuable feature of this solution is the MetaBot, which gives you the power to add many DLLs and customize them for the automation."
"From an SAP point of view, we have in-built features. They have integrated everything together, so it's much easier for us to use that."
"The Object Cloning command is the most useful feature. Through the use of this command, between 30% and 40% of the process automation is complete."
"Co-Pilot is a valuable feature."
"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, which can be improved using ML technology."
"HyperScience is good for structured and semi-structured document extraction and it's easy to learn."
"Having a tool like HyperScience which facilitates the process of converting digital copies of the scanned documents and provides us with the extracted data has helped us to facilitate further automation."
"If accuracy and customer satisfaction are your goals, then you should go for this solution."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"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."
"We have seen pretty good accuracy."
"Previously, we needed three to four people for validating invoices, now we have scaled down to one part-time person who is mostly engaged in other responsibilities, with invoicing tasks occupying only around five percent of their work time."
"Document Understanding has better machine learning or ML capabilities, and that is why I prefer Document Understanding."
"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."
"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."
"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."
"For me, the most valuable aspects of UiPath Document Understanding are its time efficiency and minimal human intervention."
"The most valuable feature in UiPath Document Understanding is the identification of the fields column in the PDF documents."
"I like the clear and organized way in which UiPath has structured the labeling process, as well as the user-friendly development environment."
 

Cons

"However, when it comes to the agentic capabilities, there is still a gap where I need to figure out how the token consumption is happening and how my agents are talking with other agents."
"Looking at the POC's requirements and use cases, our customers are asking us for the OCRing of handwritten documents."
"The object cloning that exists cannot capture 80 percent of the objects that we need it to capture."
"We do not have the AI Agent Studio feature of Automation Anywhere available yet in our government GCC environment."
"I would like to see more bots available right out-of-the-box in the SAP area. For example, if you take the overall OTC in our organization, we have to contact 15 teams. Even if we provide one big bot for the OTC, it won't work. It will not be used by one person. So if there could be more specific bots out-of-the-box, that would be really helpful."
"They have a ridiculously expensive bot licensing structure, especially for the Asian region."
"The Automation Anywhere calibrating needs to be more user-friendly to avoid human error."
"There are some business areas for which this tool is not capable of doing, such as in the areas of graphically-based input."
"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 is a stable solution, but there are some improvements needed in terms of the language support and support of dictionaries."
"HyperScience could improve the unstructured data extraction feature."
"The product's usability could be better."
"The solution lacks support for a greater range of languages."
"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."
"One area is where there are multiple tables in the same form I have seen HyperScience struggle."
"I would like more flexibility in Document Understanding's validation center."
"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."
"Handwriting recognition in UiPath Document Understanding is very difficult."
"UiPath Document Understanding requires more database connectors."
"UiPath Document Understanding's ability to handle diverse document formats, including scans and signatures, needs improvement."
"The extraction can be better. ABBYY FlexiCapture has more capabilities than Document Understanding. It can also extract automatically without training, whereas with Document Understanding, we need to train everything."
"Its pricing can be improved."
"The downsides are that it's wildly overpriced."
 

Pricing and Cost Advice

"IQ Bots are very costly. It's not a sustainable bot for us as of now. We will look for better, alternate options for that."
"Its cost is good."
"More than 40 to 50 percent of the IT budget will be for the cost of automation projects in the coming years since these projects enhance operations add value."
"Our annual licensing costs are about $500,000."
"We save approximately 10,000 hours per year."
"It is not cheap, with costs ranging between 700 to 800 dollars per month. While Power Automate is cheaper at 15 dollars per month, Automation Anywhere offers superior features, user-friendliness, and smoothness."
"It's somewhat pricier than some of the other tools that we've used, and the breakout between the different applications is also somewhat costly. If they can make it a little more cost-effective or bundle packages a little bit more, that would be beneficial."
"Automation Anywhere's pricing is significantly higher than other RPA solutions."
"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."
"While Robotic Process Automation tools can be expensive, UiPath Document Understanding is no exception."
"On a scale of one to ten with ten being the most expensive, I rate UiPath Document Understanding an eight on cost."
"It is expensive. The license cost for UiPath Studio has risen to around 3.5 lakhs last year, and I am uncertain how much the increase will be this year. They have also increased the bot prices."
"The price for UiPath Document Understanding is a bit expensive."
"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."
"Its pricing can be looked into because it is on the higher side for developing economies, such as India, where the cost of labor is a little cheaper compared to advanced technologies."
"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 is priced high compared to its competition."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Comms Service Provider
12%
Manufacturing Company
11%
Financial Services Firm
12%
Insurance Company
12%
Construction Company
10%
Comms Service Provider
9%
Financial Services Firm
19%
Manufacturing Company
10%
Outsourcing Company
10%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise86
Large Enterprise562
By reviewers
Company SizeCount
Large Enterprise7
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise12
Large Enterprise26
 

Questions from the Community

How good is Automation Anywhere for RPA processes?
It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is ver...
How good is Automation Anywhere for RPA processes?
From my experience using AA tool, it depends on the applications that you want to automate, because there some applic...
How good is Automation Anywhere for RPA processes?
It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.
Ask a question
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What is your experience regarding pricing and costs for UiPath Document Understanding?
My experience with pricing, setup cost, and licensing has been somewhat complex. I feel that the pricing structure is...
What needs improvement with UiPath Document Understanding?
When it comes to improvements in UiPath IXP, there is a challenge with different languages, particularly Arabic invoi...
What is your primary use case for UiPath Document Understanding?
We have been using UiPath IXP previously after utilizing UiPath's Document Understanding for one of our clients. We f...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
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Interactive Demo

Demo not available
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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
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: September 2026.
917,433 professionals have used our research since 2012.