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HyperScience vs OpenText Intelligent Capture comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 10, 2024
 

Categories and Ranking

HyperScience
Ranking in Intelligent Document Processing (IDP)
6th
Average Rating
7.6
Reviews Sentiment
7.4
Number of Reviews
7
Ranking in other categories
No ranking in other categories
OpenText Intelligent Capture
Ranking in Intelligent Document Processing (IDP)
4th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Intelligent Document Processing (IDP) category, the mindshare of HyperScience is 9.4%, up from 9.2% compared to the previous year. The mindshare of OpenText Intelligent Capture is 8.1%, down from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP)
 

Featured Reviews

Pavan Balaji - PeerSpot reviewer
Performs well on handwritten text and on checkboxes; lacks sufficient language options
The solution lacks support for a variety of languages. It supports three or four languages, whereas other vendors support 60 languages. I'd also like to see some improvement in the various dictionaries, including address validation dictionaries, or phone number validation dictionaries, those things need to be improved. It provides a machine confidence score but doesn't give accuracy scores.
Shital Funde - PeerSpot reviewer
A powerful solution for custom scripting but .NET knowledge is required
Knowledge of .NET is required to effectively use the solution or it can be complicated. I was able to train customers to use the solution if they had some .NET experience. The solution should offer a lightweight version that includes the OCR or document scanning and does not include the entire enterprise package with custom scripting.

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."
"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."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"We have seen pretty good accuracy."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"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."
"Being able to have accurate extraction is most valuable. It has machine learning and other tools to make the extraction more accurate."
"The automated version of the vendor invoice management is great."
"The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText."
"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

"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 could improve the unstructured data extraction feature."
"They could work on the price and make it a bit more reasonable."
"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."
"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."
"If something is handwritten and attached to an email, it doesn't capture the information correctly."
"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."
"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."
"The setup is medium complexity."
"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."
"Knowledge of .NET is required to effectively use the solution or it can be complicated."
 

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."
"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
Computer Software Company
17%
Financial Services Firm
14%
Manufacturing Company
9%
Insurance Company
8%
Financial Services Firm
16%
Manufacturing Company
14%
Computer Software Company
13%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Ask a question
Earn 20 points
What do you like most about OpenText Intelligent Capture?
The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText.
What needs improvement with OpenText Intelligent Capture?
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 lice...
What is your primary use case for OpenText Intelligent Capture?
It is designed for the automated capture and recognition of documents. Whether obtained through scanning, emails, faxes, or other sources, documents can be captured and data automatically extracted...
 

Also Known As

No data available
OpenText Captivas
 

Learn More

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Overview

 

Sample Customers

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 Intelligent Capture and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.