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Amazon Textract vs HyperScience comparison

 

Comparison Buyer's Guide

Executive Summary

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

Amazon Textract
Ranking in Intelligent Document Processing (IDP)
9th
Average Rating
7.2
Reviews Sentiment
6.1
Number of Reviews
4
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 Amazon Textract is 2.5%, down from 4.1% 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%
Amazon Textract2.5%
Other94.2%
Intelligent Document Processing (IDP)
 

Featured Reviews

SomdipRoy - PeerSpot reviewer
Solution Architect at Skillnetinc
Have faced limitations due to integration complexity but have processed documents efficiently and reduced manual effort
Bedrock is basically a framework that can manage multiple large language models. Another useful tool is Amazon Textract which extracts text from documents. It helps with compliance because Amazon Textract itself doesn't store anything. When hundreds of documents are uploaded in an S3 bucket, the S3 bucket will store the documents, but Amazon Textract itself doesn't store anything. It pulls the contents of the documents and then passes them on to the next system, making it compliant. It helps in a great way by reducing the load on LLM and reducing the cost.
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

"Amazon Textract is superior because it has features that allow you to use analytics or intelligent automation with the OCR; it will automatically identify key and value pairs, so you can use the data easily."
"The support is actually very good; I've worked with Azure and Oracle Cloud Infrastructure, but compared to the others, AWS support is excellent."
"In a project, I integrated Amazon Textract with Bedrock and passed the extracted document text to the LLM using Bedrock."
"Amazon Textract is superior because it has features that allow you to use analytics or intelligent automation with the OCR; it will automatically identify key and value pairs, so you can use the data easily."
"With the help of Amazon Textract, we are reducing labor and manpower because with just one API call, we can get all the extracted information with its coordinates."
"Amazon Textract was easy to use."
"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."
"We have seen pretty good accuracy."
"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."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"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."
 

Cons

"Some easy integration with other systems could be improved."
"Some easy integration with other systems could be improved."
"They should provide an offline solution because in many areas in India and outside, there are clients facing Internet issues."
"The product has not given correct results for me. It was not accurate, especially with handwritten items and documents with pencil marks, which Amazon Textract failed to identify correctly."
"They should provide an offline solution because in many areas in India and outside, there are clients facing Internet issues."
"Sometimes the tabular data does not process properly for complex tabular structures or complex tables."
"They could work on the price and make it a bit more reasonable."
"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."
"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."
"Extracting tables from certain documents could be improved."
"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."
 

Pricing and Cost Advice

Information not available
"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
Financial Services Firm
37%
Computer Software Company
8%
Manufacturing Company
8%
Insurance Company
5%
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
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Textract?
Organizations typically build the CI/CD pipeline. The main application could be hosted anywhere - it could be hosted on a machine, EC2, or it could be containerized. Some organizations do manual de...
What needs improvement with Amazon Textract?
Some easy integration with other systems could be improved.
What is your primary use case for Amazon Textract?
In an organization with an opening for a developer position, the organization receives hundreds of resumes. Instead of manually evaluating those resumes, Amazon Textract can be used to pull the con...
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Overview

 

Sample Customers

Cambia, Change Healthcare, ClearDATA
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 Amazon Textract vs. HyperScience and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.