No more typing reviews! Try our Samantha, our new voice AI agent.

Nanonets vs Readabl.ai comparison

Why PeerSpot?
Sponsored
 

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
6.8
Number of Reviews
668
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)
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
Readabl.ai
Ranking in Intelligent Document Processing (IDP)
32nd
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, up from 3.3% compared to the previous year. The mindshare of Nanonets is 1.5%, down from 1.9% compared to the previous year. The mindshare of Readabl.ai is 1.0%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere3.4%
Nanonets1.5%
Readabl.ai1.0%
Other94.1%
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.
it_user1657563 - PeerSpot reviewer
Test Consultant
Stable and scalable with multiple services available simultaneously
There are some features that are provided in the paid version only. They are not a part of the free version. It would be good if some of them could be added to the free version as well to increase usability. If they did that, more people would go for the free version and it will help them explore all kinds of paid services and paid features at no cost. Likely, this would drive adoption and help them acquire more users. It would be ideal if they could add support for rare services as well, to make it so that you can get a response both for SOAP and REST services.

Quotes from Members

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

Pros

"Our return on investment is high."
"Error handling plays an important role when you schedule a bot because if you are not physically present and something happens, you need to know what has gone wrong."
"One of our customers here in the Middle East has saved around 10,000 man-hours for a telecom company with the help of 50 to 60 robots initially, and now the same company is using around 4,000 robots now."
"In my day-to-day applications, I can integrate Automation Copilot easily as I can embed it within Workday, BambooHR, and Salesforce, allowing business users easy access to Automation Anywhere without logging into multiple applications, thus saving 85 to 90% of the time."
"The IQ Bot is very impressive to us, as we have tried several tools in the industry and we have not been able to automate to the same level as provided by this solution."
"At run time, Automation Anywhere can let you know which line of code the bot is running and what it is doing. It is very clear."
"The benefits include a reduction in tedious tasks and manual handling of tasks and time savings."
"The scalability of this solution is good compared to others."
"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."
"Nanonets has positively impacted my organization by providing a solution that works for us as developers."
"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."
"Within the cloud solution, there are multiple services that can be deployed on a particular cloud and you can interact with those servers at the same time."
"It's like a parallel application, where you can hit multiple services at the same time and you can get a response, and that's a big advantage here as it's a time-saving and cost-saving method."
 

Cons

"I believe Automation Anywhere can be improved by leading in the direction of seamless integration with the LLM models that are readily available today in the market."
"Product support for our customers needs improvement. They should increase the support personnel."
"Cloud was one of the features we wanted to see, because it makes it much easier. The second feature is ease of use in terms of agnostic operating system."
"Automation Anywhere will sometimes announce releases or updates in their roadmap, and we wait for them, but they do not happen on time or at all."
"Automation Anywhere could improve by better integrating with DevOps. Currently, it cannot be integrated 100% with DevOps methodology, which many companies are requiring."
"It would be better if they could extend the support for AA version 11 for a few more years, as most of the companies have tasks completed in AA version 11, and A2019 is much slower compared to AA 11."
"Improving on the ease of use and user experience of Automation Anywhere (AA) could help."
"It should have more commands, which should remove the dependency on MetaBots or other scripts so that everything is available in the tool itself."
"Nanonets can be improved with a larger number of samples and test scenarios."
"I have observed that while training Nanonets, we must provide a larger number of examples or documents."
"I think Nanonets can be improved as the pricing seems to be a bit high, which is one of the things they should improve."
"We do not see an ROI at this time."
"It would be ideal if they could add support for rare services as well, to make it so that you can get a response both for SOAP and REST services."
 

Pricing and Cost Advice

"Automation Anywhere is expensive, making it suitable only for enterprise organizations."
"We have saved customers 400% in terms of time saved by implementing this product."
"Our costs are approximately between $5,000 to $10,000 per license."
"The control room access gives the ability to create different roles, which helps when purchasing additional licensing."
"It's the best RPA tool, but the pricing could be improved."
"In terms of pricing, this is a good product."
"Licensing costs range from $50,000 to $200,000."
"The price is very reasonable."
Information not available
Information not available
report
Use our free recommendation engine to learn which Intelligent Document Processing (IDP) solutions are best for your needs.
920,769 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Outsourcing Company
14%
Comms Service Provider
12%
Financial Services Firm
11%
Manufacturing Company
11%
Construction Company
17%
Manufacturing Company
12%
Outsourcing Company
10%
Financial Services Firm
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business162
Midsize Enterprise86
Large Enterprise565
No data available
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.
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...
Ask a question
Earn 20 points
 

Comparisons

 

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
Information Not Available
Information Not Available
Find out what your peers are saying about Automation Anywhere, UiPath, ABBYY and others in Intelligent Document Processing (IDP). Updated: October 2026.
920,769 professionals have used our research since 2012.