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HyperScience vs Nanonets 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)
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
Nanonets
Ranking in Intelligent Document Processing (IDP)
12th
Average Rating
8.4
Reviews Sentiment
5.5
Number of Reviews
3
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 HyperScience is 3.1%, down from 6.1% compared to the previous year. The mindshare of Nanonets is 1.7%, down from 1.8% 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%
Nanonets1.7%
Other91.8%
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.
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.
reviewer2855805 - PeerSpot reviewer
Lead Engineer at a tech vendor with 10,001+ employees
Automated invoice conciliation has reduced manual checks and now delivers accurate OCR data
The best features Nanonets offers are OCR and integrations. These features have reduced manual efforts significantly. Currently, manual checking of data between the database and invoices is no longer necessary, as AI is now performing that work. Nanonets is an AI OCR model that I trained to deliver purposeful output. As an AI model, I can briefly describe and extract data from documents. Nanonets is primarily focused on documents, allowing me to extract data, compare it, and it is also useful for handwritten documents. It delivers output that is 99% accurate for handwritten documents as well. I consider Nanonets a good tool that I have worked with, and I have worked on its integration using Python.

Quotes from Members

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

Pros

"As a solution, Automation Anywhere is complete for business users and developers."
"IQ Bots are extremely powerful. We are using them increasingly more where we're about to look through a lot unstructured sources, like PDF documents, scanned images, contracts, etc. We are able to take the data out, then use that toward processing structured data and creating insights for our clients."
"It has been really useful for traditional RPA, which remains our forte."
"When considering all the facts, this is one of the most user-friendly RPA tools that I have worked with."
"The ability to build automation without coding is its most valuable feature."
"Automation Anywhere is a great tool."
"Our workforce has limited capacity, and by adding this solution we can increase the amount of work coming in without adding to our workforce."
"The most valuable feature is the screen recorder, which helps to automate processes easily."
"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."
"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."
"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."
"HyperScience is good for structured and semi-structured document extraction and it's easy to learn."
"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."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"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."
"The best features Nanonets offers include their workflow and OCR detection capabilities, which have positively impacted my organization by helping detect edge cases in OCR that require some post-processing or pre-processing and have improved efficiency and reduced errors."
"Nanonets has positively impacted my organization by providing a solution that works for us as developers."
"The accuracy percentage of Nanonets was around 92-93%, which has had a high impact because it has reduced approximately 9.2 FTEs in manual efforts."
 

Cons

"Our current version needs drag and drop, but that should be in the next release."
"I want the tool to be more stabilized. After three or four hours, the navigation keeps changing. We will be running error handling for 8,000 process and the system will fail. We need it to be more stable."
"When you are hosting the application, that is when it is a little more complicated to set up. You need to talk to the IT department, as you are actually outside of their firewall, then you are coming back inside their cloud."
"We want it to work with more APIs. It needs to integrate with multiple APIs. That would be something that I would like going forward."
"For any tool, we have to consider that the evolving AI space is rapidly changing, and I believe Automation Anywhere can enhance its offerings to keep pace with developments in the AI sector, which presents a lot of room for improvements, but overall it is working well for us."
"I would like to be able to look at the steps that are completed as a process is running."
"We tried Citrix six months ago, but the solution that they gave us did not work in our environment."
"There are many bots available on the Bot Store. However, my developer told me that he was unhappy with the quality of the bots available."
"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."
"One area is where there are multiple tables in the same form I have seen HyperScience struggle."
"HyperScience could improve the unstructured data extraction feature."
"They could work on the price and make it a bit more reasonable."
"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 product's usability could be better."
"The solution lacks support for a greater range of languages."
"Nanonets can be improved with a larger number of samples and test scenarios."
"I think Nanonets can be improved as the pricing seems to be a bit high, which is one of the things they should improve."
"I have observed that while training Nanonets, we must provide a larger number of examples or documents."
 

Pricing and Cost Advice

"I advise others that even as of right now, the setup cost and licensing cost to automate bots on Automation Anywhere is steep but it is worth the investment!"
"Automation Anywhere is costlier than the general competition. That is aligned with the share of the market it has."
"One of the things that will be good for the community will be to get the free version to download, which came out just a month ago called Community Edition. So, you can actually download it and try it for yourself."
"While calculating the setup cost you should account for the server, virtual machines, product licenses, maintenance costs, and running costs."
"The licensing needs to be made simpler or shortened."
"Despite being less expensive than UiPath, Automation Anywhere remains cost-prohibitive for many small and medium-sized businesses."
"We are interested in saving manual engineer man-hours. So far, we have saved $100,000."
"The pricing of AA is similar to UiPath."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
11%
Outsourcing Company
10%
Insurance Company
12%
Financial Services Firm
11%
Construction Company
10%
Manufacturing Company
10%
Construction Company
18%
Financial Services Firm
16%
Healthcare Company
8%
Manufacturing Company
8%
 

Company Size

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

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.
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What needs improvement with Nanonets?
Nanonets can be improved with a larger number of samples and test scenarios. I would suggest training Nanonets simila...
What is your primary use case for Nanonets?
I use Nanonets for OCR purposes, specifically for invoice conciliation. For invoice conciliation, I used Nanonets to ...
What advice do you have for others considering Nanonets?
Nanonets's AI capabilities are secure. Regarding Nanonets's accuracy and reliability of output, in my use case it was...
 

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

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Hyperscience's customers are some of the top enterprises in the Insurance, Government, Financial Services, and Healthcare industries.
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Find out what your peers are saying about HyperScience vs. Nanonets and other solutions. Updated: July 2026.
909,725 professionals have used our research since 2012.