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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
662
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 (1st), AI Procurement & Supply Chain (1st)
HyperScience
Ranking in Intelligent Document Processing (IDP)
9th
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 August 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, down from 3.5% compared to the previous year. The mindshare of HyperScience is 3.1%, down from 6.1% compared to the previous year. The mindshare of OpenText Capture is 3.9%, down from 7.7% 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

"Excel automation is especially helpful because a lot of small companies are still using Excel as their data storage."
"I implemented AA in different environments, the AA installation is the smoothest compared to other RPA software installs."
"Automation Anywhere is a great tool."
"With IQ Bot, we can now include cognitive automation into our process. The cognitive document processing is pretty good with IQ Bot."
"We have had a very good experience with Automation Anywhere and we are very happy with the solutions."
"Automation Anywhere's support has been great since we signed up for gold support last year."
"The flexibility: If there is anything the tool cannot do, we have the ability to make a MetaBot to achieve that functionality. The overall flexibility of the tool makes it very useful for us in our landscape."
"We have automated our critical functions, like supply chain management and purchase orders, and we have staff who have been moved out of the mundane tasks and are now doing value-added activities."
"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."
"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."
"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, which can be improved using ML technology."
"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."
"HyperScience is good for structured and semi-structured document extraction and it's easy to learn."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"Being able to have accurate extraction is most valuable. It has machine learning and other tools to make the extraction more accurate."
"OpenText Intelligent Capture is pretty good."
"The solution is very powerful because it allows for custom scripting."
"It allows you to image capture, scan documents and use machine learning to automatically index and tie them."
"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 is a mature product and a leader in the industry."
"The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."
"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."
 

Cons

"We are having trouble creating a reliable and stable situation in our environment."
"We are at an inflection point where we have automated so much that just keeping the lights on certainly takes 20% to 50% of the time, depending on the time of year. Being able to enable the stakeholders is one of my main focuses. If we are automating their process, I want them to continue owning that as much as possible. We are just expanding on the bot insights. From a security perspective, there have been some challenges for us getting our customers in there from a role-level security perspective and making sure that they have full access to the control room and their automation after it is automated."
"We have done some automation of incoming documents, but it has been somewhat hard."
"Automation Anywhere has newly integrated the Generative AI feature. It should be more customizable. Currently, we can change certain parameters, but we would like to have the ability to do modifications within the LLM for better outputs."
"My experience with the pricing, setup cost, and licensing is mixed. It is somewhere in between, not the most cost-efficient but also not the highest cost, so it can be better."
"With Oracle, Blue Prism was easier and a little bit more stable than Automation Anywhere. Even with ServiceNow, the automation was very unreliable. It did not work as expected."
"When I used this tool in the bot, it did not work. I got this issue when using the document automation learning instance."
"The support and user community need improvement."
"They could work on the price and make it a bit more reasonable."
"HyperScience could improve the unstructured data extraction feature."
"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 is expensive."
"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."
"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 is a stable solution, but there are some improvements needed in terms of the language support and support of dictionaries."
"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."
"Knowledge of .NET is required to effectively use the solution or it can be complicated."
"I have not seen any return on investment from OpenText Capture."
"It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement."
"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."
"If something is handwritten and attached to an email, it doesn't capture the information correctly."
"The setup is medium complexity."
"I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents."
 

Pricing and Cost Advice

"The Automation Anywhere license is affordable and not complex."
"I am not involved in the pricing, but based on what I hear from our central RPA team, it is not very expensive; it is also not cheap. Its price is in the midrange."
"The licensing needs to be made simpler or shortened."
"The pricing strategy for us is one license for development. It is more complicated than that depending on the options you choose."
"We have established a CoE and we take our bot opportunities based on their ROIs. The best ROI opportunity goes to development first. Our ROI opportunities are compliance, profitable growth, productivity enhancements, productivity gains, number of hours the productivity saved, and resources not available that the work can be done by the bot. However, the single most important criteria that we use to measure ROI is how much time does the bot cut down from an analyst's work, as this has the best ROI. E.g., if an analyst is spending a 100 hours of work that a bot can do in one hour, we calculate the 99 hours saved as ROI."
"We have seen ROI in terms of cost and time with a couple of our projects."
"Annual licensing costs would be about $100,000."
"The licensing cost is approximately $4,000 USD, which is a seed license."
"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."
"OpenText is an expensive solution."
"Some customers say the solution can get costly because it requires licenses or enterprise packages."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Construction Company
11%
Manufacturing Company
11%
Outsourcing Company
10%
Insurance Company
13%
Financial Services Firm
11%
Construction Company
10%
Manufacturing Company
9%
Financial Services Firm
16%
Insurance Company
16%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise81
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: June 2026.
908,800 professionals have used our research since 2012.