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AntWorks CMR+ vs HyperScience comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 10, 2024

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

AntWorks CMR+
Ranking in Intelligent Document Processing (IDP)
16th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
HyperScience
Ranking in Intelligent Document Processing (IDP)
8th
Average Rating
7.6
Reviews Sentiment
7.4
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Intelligent Document Processing (IDP) category, the mindshare of AntWorks CMR+ is 2.1%, up from 1.3% compared to the previous year. The mindshare of HyperScience is 3.3%, down from 7.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Market Share Distribution
ProductMarket Share (%)
HyperScience3.3%
AntWorks CMR+2.1%
Other94.6%
Intelligent Document Processing (IDP)
 

Featured Reviews

Rick Koo - PeerSpot reviewer
Digital Technology Leader at Mercer
Leading-edge NLP capabilities, efficient training of machine learning models, and the automation saves us significant time
The machine learning capability is good. The algorithm helps us to get the right data with less training effort. The technology seems to be a little bit ahead of the standard NLP software. They use more pattern recognition, rather than basing everything on reading static text. The problem with relying on an unchanging text is that it can depend on things such as the formatting, and where things appear within a document. This solution can process complex formats, which is helpful for us because we get a lot of PDFs and they come in many different formats. As an example, a carrier might include a list of their rates in a table, whereas a different carrier will write their rates into a paragraph, and yet another will put them into some sort of graphic. If you only capture text then you will only capture part of that data. Pattern recognition ultimately helps us to circumvent the problems in dealing with format variability in documents and allows us to capture the right data. When it comes to predicting what it is that a document needs manual intervention, CMR Plus does it pretty well. They have a QA cycle that is usually able to highlight such data. The content recognition ability, in terms of giving us only the data that we need and nothing else, is pretty good. It has a positive effect on our efficiency and by extension, it impacts our infrastructure costs.
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.

Quotes from Members

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

Pros

"The automation provided by this solution has saved us a lot of time."
"Pattern recognition ultimately helps us to circumvent the problems in dealing with format variability in documents and allows us to capture the right data."
"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."
"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."
"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"We have seen pretty good accuracy."
"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."
 

Cons

"It would be very helpful to have a simple and extensive training guide, or training model, to help learn how to work with the product."
"We would like to see the overall accuracy increase from approximately 70% to perhaps 85%."
"They could work on the price and make it a bit more reasonable."
"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 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."
"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."
 

Pricing and Cost Advice

"The pricing is really good, and it's based on usage."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Large Enterprise7
 

Also Known As

ANTstein
No data available
 

Overview

 

Sample Customers

Information Not Available
Hyperscience's customers are some of the top enterprises in the Insurance, Government, Financial Services, and Healthcare industries.
Find out what your peers are saying about AntWorks CMR+ vs. HyperScience and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.