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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
6.9
Number of Reviews
661
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 September 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, down from 3.4% compared to the previous year. The mindshare of HyperScience is 3.1%, down from 6.0% compared to the previous year. The mindshare of OpenText Capture is 3.8%, down from 7.5% 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 Capture3.8%
HyperScience3.1%
Other89.7%
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

"The most valuable feature is the ability to transform data into clusters."
"Movement on cloud architecture according to me provided by AA2019, will be most beneficial as it will be easy to use and will provide flexibility."
"The scope of automation by using Automation Anywhere has become wonderful."
"We have benefitted a lot now, but expect that we will benefit even more in the future as we get better at using intelligence."
"Automation Anywhere has improved my organization by automating many rule-based and nonjudgmental processes in domains like telecommunications, human resources, financial services, and daily or monthly reporting."
"Automation Anywhere has transformed the financial, healthcare, and automobile sectors to a great extent by automating backend office work."
"For a tool that can be fun to use and make people's job better on day one, that is the most valuable feature."
"The reporting capabilities are pretty nice."
"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."
"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."
"We have seen pretty good accuracy."
"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."
"The automated version of the vendor invoice management is great, and it is helpful because it has reduced the human interaction in invoice processing."
"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."
"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."
"The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."
"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."
"It is a mature product and a leader in the industry."
"Being able to have accurate extraction is most valuable. It has machine learning and other tools to make the extraction more accurate."
 

Cons

"It is not able to use OCR effectively and has limited usability."
"We looked at the Bot Store initially and didn't find much."
"The initial setup is difficult because Automation Anywhere does not have a GitHub integration. They need to build a patch for that."
"Automation Anywhere changed OCR features in A2019. My suggestion is to improve the OCR command scope and usability. We use OCR for PDF data extraction as we use in V. 11.x product."
"We had a major issue when it came to single sign-on. We couldn't get it working."
"Some of the machine learning (ML) components are still in development. They deployed many of them, but they are doing some improvements on the machine learning part."
"We would like to see the scalability improve from a local perspective."
"Accuracy to process handwritten documents should be improved and more analytics and intelligence-related capabilities should be added."
"One area is where there are multiple tables in the same form I have seen HyperScience struggle."
"The product's usability could be better."
"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 is a stable solution, but there are some improvements needed in terms of the language support and support of dictionaries."
"The solution is expensive."
"They could work on the price and make it a bit more reasonable."
"The solution lacks support for a greater range of languages."
"Extracting tables from certain documents could be improved."
"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."
"Knowledge of .NET is required to effectively use the solution or it can be complicated."
"The setup is medium complexity."
"If something is handwritten and attached to an email, it doesn't capture the information correctly."
"I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents."
"It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement."
"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."
"Its functionality is good, but it has to be made more accurate. If it is not customized and handheld properly, the recognition and captures won't be accurate."
 

Pricing and Cost Advice

"In most of the cases, the product value is very good. If the infrastructure, implementation, and framework are good, then generally, the client can get a good return on investment."
"It's justified because we have saved quite a bit of money at the company and many manual hours. Overall, it justifies the cost."
"Cost is the biggest area in need of improvement for Automation Anywhere. Annually it's $250,000. That's what deterred us right away."
"Our advice is that anybody interested in this product should negotiate product bundles in order to reduce the cost of installation and setup."
"The starting price, which is a one-off fee is a bit high and this may deter mid and small-sized companies from acquiring and decide to shun the platform."
"We were paying approximately $30,000 for a year license."
"The cost is high for small-scale businesses but it is fine for medium and large enterprises. Its high licensing cost may affect small-scale businesses. Reducing licensing costs would benefit many users."
"In terms of pricing, it's not at all cheap, and that's a concern. The licensing cost is very high. While I don't know the exact prices of other tools, Microsoft offers the lowest pricing for its RPA platform compared to UiPath and Automation Anywhere."
"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."
"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
15%
Financial Services Firm
12%
Comms Service Provider
10%
Manufacturing Company
10%
Insurance Company
12%
Financial Services Firm
11%
Manufacturing Company
11%
Construction Company
10%
Insurance Company
16%
Financial Services Firm
14%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise82
Large Enterprise558
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.
913,683 professionals have used our research since 2012.