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HyperScience vs OpenText Capture comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 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
668
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
OpenText Capture
Ranking in Intelligent Document Processing (IDP)
4th
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, up from 3.3% compared to the previous year. The mindshare of HyperScience is 3.1%, down from 4.8% compared to the previous year. The mindshare of OpenText Capture is 3.9%, down from 6.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere3.4%
OpenText Capture3.9%
HyperScience3.1%
Other89.6%
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.
SK
Software Engineer at ECloudOptimumCorp
Robust document capture boosts efficiency and integration options
The best features include multiple channel capabilities such as fax, different file transfers, and paper scans. It can be integrated with multiple channels and can capture images, even from mobile devices integrating into OpenText Capture. Currently, it has introduced AI for data extraction and document processing. OpenText Capture's impact on automating document-intensive tasks such as accounts payables or loan processing is significant. It has the capability to capture table structures or multiple line items from images, including line items and final amounts for invoice processing. The main benefits of OpenText Capture are particularly valuable when capturing content and extracting structured or unstructured data. This product can be integrated into any point-of-sale system, Salesforce, SAP, or other environments, reducing manual data entry and related tasks. This feature has helped organizations handle large volumes of data with precision, especially regarding resource consumption. The automation reduces human effort that would otherwise be required for classification and extraction tasks.

Quotes from Members

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

Pros

"This is a solution that I recommend."
"My impression of the Bot Store is good. It is a really smart offering. A lot of the time customers need the same things, and there's not necessarily a lot of logic in reinventing the wheel. When you take the Bot Store, you allow people to share knowledge, you allow best practices to be immediately adopted by users, and you can share good knowledge, saving a lot of time for customers. It's a really good thing."
"The Control Room is the most important feature, where we can manage the bots and publish to various bot runners in the environment."
"The time savings from using Document Automation are substantial, as previously a team of about five to ten people managed specific processes end-to-end, such as processing fourteen thousand entries in a month, but after automation, that entire process is streamlined, saving us a lot of FTEs."
"For people looking for my recommendation for an automation product, I definitely would recommend Automation Anywhere instead of going for a more orthodox or older technology."
"Automation Anywhere drastically reduces manual work for employees."
"It is also easy to design and implement, even for business users who don't have technical skills. A little bit of training is required, about five to seven days, and then they can start. The learning curve is low."
"Excel automation is one of the best features in Automation Anywhere. If we have to work with multiple excel sheets with lots of rows and columns, it gets really difficult to keep track of this is done manually. But Automation Anywhere makes it really simple and error-free."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"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."
"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."
"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."
"HyperScience is good for structured and semi-structured document extraction and it's easy to learn."
"If accuracy and customer satisfaction are your goals, then you should go for this solution."
"For our use case, it provided a complete workflow, reduced our existing touch time by 80%, and from the point of view of technology, it is one of the leading platforms right now in the OCR world."
"The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."
"OpenText Intelligent Capture is pretty good."
"The main benefits of OpenText Capture are particularly valuable when capturing content and extracting structured or unstructured data, and this feature has helped organizations handle large volumes of data with precision, especially regarding resource consumption."
"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."
"It is a mature product and a leader in the industry."
"The automated version of the vendor invoice management is great, and it is helpful because it has reduced the human interaction in invoice processing."
"The solution is very powerful because it allows for custom scripting."
"We use it to capture documents coming through our product and mobile channels and make them available for our business to access and email. We use it to automate the email workflow in our applications, pull the documents, and email them to the users."
 

Cons

"A2019 is less stable than the previous versions."
"It is very difficult to create and automate timetables because they are modal, and it would be helpful if the bot could assist us with this."
"I believe there is room for improvement in Automation Anywhere, particularly in their training programs, which need more development."
"We've struggled with some of the new features Automation Anywhere added in the latest version. For example, they added a new OpenAI package, but it took a while for me to find it in the actions menu."
"We have a lot of use cases that depend on certain Java applets, and currently we're not able to leverage the Object Cloning that would speed up our automation designing. So we have to revert to more image recognition-type of designing, and it just takes a long time to get that bot built."
"AA has many features but the issue is with the loss of overhead on computing resources. For example, if the bot is encrypted, the bot should decrypt it first then act accordingly. If there are issues with the logic in the bot, there will be a lot of computer memory overload. There should be an additional feature for cloud functionality."
"The version that we are using has been difficult for us to code."
"I'd love to see the ability to build web or mobile applications that are integrated with Automation Anywhere bots, so that a user can work on a web interface directly. Then, it can be linked to the Automation Anywhere bots in the background. They just hit a button, and all the data or information will be used by the bot to do some process in the back end."
"One area is where there are multiple tables in the same form I have seen HyperScience struggle."
"The solution is expensive."
"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."
"HyperScience could improve the unstructured data extraction feature."
"The solution lacks support for a greater range of languages."
"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 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."
"We are using it to improve the image and the documentation for the cases. And sometimes, some cases have more than fifteen different types. We use some tools as fixed standard analysis and provide information to support the different types to take some decisions and help in an automated process. We choose the case type and subtype DNS scanning documents from the data entry up."
"I have not seen any return on investment from OpenText Capture."
"I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents."
"Knowledge of .NET is required to effectively use the solution or it can be complicated."
"If something is handwritten and attached to an email, it doesn't capture the information correctly."
"The setup is medium complexity."
"The area for improvement primarily centers around licensing concerns rather than technical issues. Captiva, intended for larger clients, poses challenges for medium and small businesses due to licensing costs. The current licensing model is based on volume, such as purchasing a volume for one million dollars per year for scanning. This pricing structure may be prohibitive for companies with constrained budgets. Another aspect requiring attention is the mobile capture feature, which, although experiencing recent enhancements in intelligent document processing through AI, could benefit from further improvements. Specifically, there is room for enhancement in enabling users to efficiently capture documents using their smartphones."
"It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement."
 

Pricing and Cost Advice

"It is one of the most affordable RPA solutions, and as for licensing, they offer a community edition that greatly helps anyone who aspires to learn about the product before buying the enterprise solution."
"The pricing is a bit higher."
"Automation Anywhere is competitive... Pega is somewhat comparable, but Pega also requires a lot more infrastructure and a lot more experience to get up and running."
"Automation Anywhere's price is considerably better than UiPath's."
"The pricing and licensing are definitely moderate to costly but easily recoverable by achieving ROI quickly."
"There is an annual license to use the solution."
"Automation Anywhere is expensive, making it more suitable for enterprise organizations."
"There are some additional costs beyond the standard licensing fees. There are a couple of add-ons we've looked at: The IQ Bot for OCR and machine-learning were add-ons, as well as the Bot Insights - the analytics."
"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."
"Some customers say the solution can get costly because it requires licenses or enterprise packages."
"OpenText is an expensive solution."
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Top Industries

By visitors reading reviews
Outsourcing Company
14%
Comms Service Provider
12%
Financial Services Firm
11%
Manufacturing Company
11%
Financial Services Firm
13%
Insurance Company
13%
Construction Company
10%
Comms Service Provider
9%
Financial Services Firm
15%
Insurance Company
15%
Outsourcing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business162
Midsize Enterprise86
Large Enterprise565
By reviewers
Company SizeCount
Large Enterprise7
By reviewers
Company SizeCount
Small Business2
Large Enterprise6
 

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.
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What needs improvement with OpenText Intelligent Capture?
There is room for improvement regarding the data extraction and OCR capabilities in OpenText Capture, especially with...
What is your primary use case for OpenText Intelligent Capture?
I use OpenText Capture for any digital format or hard copies, everything that needs to be digitalized and stored in a...
What advice do you have for others considering OpenText Intelligent Capture?
Based on my rich experience with OpenText Capture, I would advise organizations considering it for their environment ...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
No data available
OpenText Captivas
 

Interactive Demo

Demo not available
Demo not available
 

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.
Information Not Available
Find out what your peers are saying about HyperScience vs. OpenText Capture and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.