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Automation Anywhere vs Nanonets comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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
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)
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 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%
Nanonets1.7%
Other94.9%
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.
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

"The development tools are very good. It's very user-friendly and easy to develop and deploy with Automation Anywhere. Ordinary people, within a few weeks, can develop a bot using the tool."
"Overall, based on my experience with Automation Anywhere, I would rate it a nine out of ten."
"Through the software, we have been able to reduce the time that we spend on manual, repetitive tasks so that we can focus on activities that add value to the business or to our partners and customers."
"Its ability to integrate with other solutions is awesome."
"There are ready plugins and connectors to integrate with APIs for common systems like Oracle or Microsoft."
"This is the right platform and choice, as every business needs to be at this pace and cannot ignore automation if you really want your company to get to the next level and be at par with competitors."
"We get positive feedback from the client regarding the processes that we have developed, as it saves a lot of their manual time and most of their work is done by the bot, without any human intervention."
"I appreciate that Automation Anywhere is so user-friendly, and currently, our team is learning Power Automate and migrating some of the processes as we go."
"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

"Improvements that can be made are: It should be easier to automate tasks on a virtual machine that uses a different environment altogether."
"Instead of depending on other open-source BPM products, AA should provide their own BPM for attended automations."
"The GUI can be improved by making it more user-friendly."
"It would be great if there will be a built-in machine learning model available in the AA, so the developer can directly map it with their task and train the model accordingly."
"The version that we are using has been difficult for us to code."
"Queue management is still missing from the latest version which is a barrier to using the platform to start implementing complex cases where you have parent and child transactions going through multiple stages."
"Because I am using an older version, I am rating the scalability as a seven out of 10. I feel a lack of convenience when I try to scale it."
"The AI centricity is a bit behind compared to the way we see Microsoft and AWS doing it. This is the feedback that I have also given to them. They need to expand themselves to provide more services than just RPA. Only RPA may not be enough for us, and it would not be our preferred choice for an automation tool."
"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."
"Nanonets can be improved with a larger number of samples and test scenarios."
 

Pricing and Cost Advice

"As our team size increases, we may get some more licenses for the tool."
"The pricing for Automation Anywhere is reasonable."
"If we count the integrations that we have done with Appian, which is where a lot of our savings is from, we are well over a million dollars in savings. This is from only doing development for about a year and a half."
"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."
"The licensing cost is approximately $4,000 USD, which is a seed license."
"Subscription for Automation Anywhere (AA) is paid yearly."
"AA comes at a more affordable price than the other tools."
"It saves me around $100,000 a year."
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%
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
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 very good in certain situations but lacks in others. For me, it's more the team tha...
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 applications that AA has limitations for, such as the Oracle. For web-based applicatio...
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 needs improvement with Nanonets?
Nanonets can be improved with a larger number of samples and test scenarios. I would suggest training Nanonets similarly to how I train AI models.
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 fetch fields from invoices and match them with third-party database data. If the...
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 around 92% accurate. The output is reliable, and if there are issues, the data ...
 

Comparisons

 

Also Known As

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

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
Find out what your peers are saying about Automation Anywhere vs. Nanonets and other solutions. Updated: July 2026.
909,725 professionals have used our research since 2012.