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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
661
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 (2nd), AI Procurement & Supply Chain (1st)
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)
10th
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 September 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, down from 3.4% compared to the previous year. The mindshare of Amazon Textract is 2.3%, down from 4.7% compared to the previous year. The mindshare of HyperScience is 3.1%, down from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere3.4%
Amazon Textract2.3%
HyperScience3.1%
Other91.2%
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

"The best part about Automation Anywhere is the easy to use UI. It's very user-friendly. You have everything that you want in front of your eyes. You just have to drag and drop, then build your logic accordingly."
"It increased productivity; it raised the productivity percentage of individuals 20 to 35%, and we also saw cost reduction."
"The RPA automation itself is valuable."
"By implementing it, we were able to solve the issue of automation, which we had almost given up on."
"With automation, you can reduce that effort to half an hour or an hour, so it will improve your efficiency and save you a lot of time, so you can improve your time in other work."
"We work in the business process outsourcing arena, it has improved our organization mainly around freeing up people to do other things and that can be quite large numbers, in the high tens, even hundreds of people that can be freed up to do other work."
"Pulling data from web pages using Object Cloning has been an absolute delight."
"Overall, the product is very good where the repetitive tasks are more in manufacturing industries and the finance department."
"Amazon Textract was easy to use."
"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."
"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."
"In a project, I integrated Amazon Textract with Bedrock and passed the extracted document text to the LLM using Bedrock."
"If accuracy and customer satisfaction are your goals, then you should go for this solution."
"HyperScience is good for structured and semi-structured document extraction and it's easy to learn."
"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, 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."
"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."
"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."
 

Cons

"When it comes to stability, complex bots always have issues."
"There's a loss of overhead on the computing resources in Automation Anywhere. If you have an encrypted bot, the Automation Anywhere software has to read it first, decrypt it, and run it. So there is a potential that, if the logic of the bot isn't good enough, a lot of CPU and memory overload will happen. This is something which Automation Anywhere should look at because it takes a lot of computing resources. I have seen CPUs running at 100 percent."
"I would like to have the ability to work on a remote desktop connection, run the recording on it and use all commands."
"Our tool is a bit slow, as it's a legacy tool. Automation Anywhere is having some issues when running back."
"They need to improve the REST Api documentation because it is not well detailed or clear enough for beginners, and they need to provide some out-of-the-box AI and ML functions such as image classification and object identification."
"The regional distribution in Turkey can be improved."
"However, it does not work as well with retrieving data from images."
"Automation Anywhere should make it easier for developers to manage queues and exception handling. The OCR component could also be better. We have had to use other OCR tools to get information from the account documents."
"Some easy integration with other systems could be improved."
"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."
"Sometimes the tabular data does not process properly for complex tabular structures or complex tables."
"They should provide an offline solution because in many areas in India and outside, there are clients facing Internet issues."
"One area is where there are multiple tables in the same form I have seen HyperScience struggle."
"The product's usability could be better."
"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."
"The solution is expensive."
"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."
"The solution lacks support for a greater range of languages."
"They could work on the price and make it a bit more reasonable."
 

Pricing and Cost Advice

"The cost of Automation Anywhere is high in Turkey due to the weak economy."
"It depends. For example, for my group, we are centralizing the infrastructure in Paris. Our contract is signed with Automation Anywhere in France. The currency and the pricing of Automation Anywhere in France can appear beneficial and interesting for Germany and Scandinavian countries, but when we share our infra and are internally charging other countries such as Poland, Brazil, or some other country with a lower currency value as compared to Euro, it becomes less beneficial. They would prefer to sign the contract directly with Automation Anywhere because they will benefit from a price that is as per their local market."
"Including the AWS setup and everything per license, it costs us around $10,000 on an annual basis. I believe that is pretty reasonable considering the teams that we have."
"It's the best RPA tool, but the pricing could be improved."
"Overall, the pricing of Automation Anywhere is good."
"Its usage is expensive for us because my user base is mostly in Manila and KL. The unit cost of labor is cheaper there than in the U.S. or Australia, which puts a bit more stress on how to get a positive ROI while continuing to use it."
"Automation Anywhere might have a higher upfront cost than some competitors, but its extensive features and seamless integration with other tools can save organizations money in the long run."
"There are some additional costs beyond the standard licensing fees. There are a couple of add-ons we've looked at: The IQ Bot for OCR and machine-learning were add-ons, as well as the Bot Insights - the analytics."
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
Outsourcing Company
15%
Financial Services Firm
12%
Comms Service Provider
10%
Manufacturing Company
10%
Financial Services Firm
20%
Outsourcing Company
15%
Manufacturing Company
9%
Computer Software Company
5%
Insurance Company
12%
Financial Services Firm
11%
Manufacturing Company
11%
Construction Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
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
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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: September 2026.
913,683 professionals have used our research since 2012.