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Amazon Textract vs HyperScience comparison

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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

Automation Anywhere
Sponsored
Ranking in Intelligent Document Processing (IDP)
1st
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
660
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)
Amazon Textract
Ranking in Intelligent Document Processing (IDP)
10th
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)
9th
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 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 Amazon Textract is 2.1%, down from 4.9% compared to the previous year. The mindshare of HyperScience is 3.1%, down from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere3.4%
HyperScience3.1%
Amazon Textract2.1%
Other91.4%
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.
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

"Automation Anywhere has save us more than $40,000 in the past year."
"Among the most valuable features that we've been able to utilize are the screen scraping and object cloning."
"Automation Anywhere provides the best feature to make a software bot for processes."
"I like Automation Anywhere's document automation. It can distill or scan documents and convert the information into a structured format."
"From my perspective, the most valuable features in Automation Anywhere are the ability to connect to different systems of records."
"We've delivered tremendous value in a really short amount of time and gotten a lot of support from our organization."
"Its integration with source control is very refreshing. There could be a little bit more maturity around how to do some of the features, but not having to go outside the app, not having a separate set of procedures, allows you to check in and check out right from within the app. You can make edits and uploads and undo your checkouts."
"I have been using Automation Anywhere for the past five years and it is one of the best tools to automate manual tasks."
"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."
"The support is actually very good; I've worked with Azure and Oracle Cloud Infrastructure, but compared to the others, AWS support is excellent."
"Amazon Textract was easy to use."
"In a project, I integrated Amazon Textract with Bedrock and passed the extracted document text to the LLM using Bedrock."
"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."
"We have seen pretty good accuracy."
"HyperScience is good for structured and semi-structured document extraction and it's easy to learn."
"If accuracy and customer satisfaction are your goals, then you should go for this solution."
"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."
"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."
"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."
 

Cons

"They are already working on this: The boom of generative AI, the next-gen technologies, including advanced AI and ML technologies, are in the roadmap. I would like to see more and more AI integration and a bit more analytics. That would be great."
"I would like more integration into the entire Microsoft Suite of products, not just Excel."
"20 percent of the bots need to supervised because sometimes errors occur during the run. Most of the errors that I have encountered have been because the object cloning did not capture the buttons properly."
"We need a better way of getting upgrades or defect fixes. It is creating problems for us, as we have to go for a completely new version. Maintaining and managing existing bots, then coming up with new ones takes a lot of time. We would rather have a batch fix than an installation to an installation."
"Better support for Excel is needed because there are a lot of limitations and we are having issues with it."
"So far, the stability is not good. We are trying to improve this because we are facing a lot of instability issues."
"Document Automation has issues related to speed. When I compare Document Automation with IQ Bot, IQ Bot is faster than Document Automation."
"Automation Anywhere can also be improved in machine learning and artificial intelligence. It would make our lives easier."
"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."
"Some easy integration with other systems could be improved."
"Sometimes the tabular data does not process properly for complex tabular structures or complex tables."
"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."
"Extracting tables from certain documents could be improved."
"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."
"One area is where there are multiple tables in the same form I have seen HyperScience struggle."
"The solution lacks support for a greater range of languages."
"The product's usability could be better."
"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."
 

Pricing and Cost Advice

"I think it's $5,500 per license."
"UiPath is exceptionally more expensive than Automation Anywhere. UiPath is far ahead of its competition, but in terms of finances, Automation Anywhere offers better value and is more effective for organizations seeking cost-effective solutions."
"As our team size increases, we may get some more licenses for the tool."
"Automation Anywhere is expensive, making it more suitable for enterprise organizations."
"We only deal in annual licenses. There are no pay-as-you-go licenses."
"We have saved customers 400% in terms of time saved by implementing this product."
"The cost for scalability is much cheaper than developing a new system."
"The solution's pricing is pretty decent."
Information not available
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
11%
Outsourcing Company
10%
Financial Services Firm
24%
Manufacturing Company
11%
Outsourcing Company
8%
Construction Company
5%
Insurance Company
12%
Financial Services Firm
11%
Construction Company
10%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise82
Large Enterprise558
No data available
By reviewers
Company SizeCount
Large Enterprise7
 

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.
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 ...
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 o...
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Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
No data available
No data available
 

Interactive Demo

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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
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: August 2026.
909,725 professionals have used our research since 2012.