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Nanonets vs UiPath IXP comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 18, 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
Sponsored
Ranking in Intelligent Document Processing (IDP)
1st
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
662
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
UiPath IXP
Ranking in Intelligent Document Processing (IDP)
2nd
Average Rating
8.0
Reviews Sentiment
5.1
Number of Reviews
56
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. The mindshare of UiPath IXP is 4.7%, down from 12.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere3.4%
UiPath IXP4.7%
Nanonets1.7%
Other90.2%
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.
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.
Gangadhar Wali - PeerSpot reviewer
Founder and COO at InVibes
Pre-trained models work well, but it is very expensive
We have to do manual validation for some of the things due to the OCR engine not being so accurate. For example, S is read as 5, 5 as S, 2 as Z, and Z as 2. In the case of currency, if one dot is missing, it gives a completely incorrect number. These discrepancies should be fixed because if the OCR itself doesn't work properly, then AI doesn't help with that. When AI is used for training models, the AI Center works precisely, but if the data itself is wrong, we can't do anything. If the extraction of data is proper, it definitely helps. However, 20% errors could be reduced if the OCR engine were better. In future updates, I would like to see better handling of issues such as when a dot is missing in currency, for example, with dollars, it should handle that automatically. It's very expensive. If the volume increases, we can't afford to use Document Understanding. We are thinking of moving to another solution because we are expecting 80,000 to 100,000 invoices.

Quotes from Members

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

Pros

"Excel automation is one of the best features in Automation Anywhere. If we have to work with multiple excel sheets with lots of rows and columns, it gets really difficult to keep track of this is done manually. But Automation Anywhere makes it really simple and error-free."
"Automation Anywhere is the first RPA solution we have taken and suggested implementing it to our customers, and it has helped tremendously in assisting our customers in achieving their goals."
"I like the new GenAI and Automation Co-Pilot, which is something like attended automation."
"The insights provided by the dashboard are excellent."
"Automation Anywhere has equipped us with amazing tools including Bot Insight, IQ Bot, Discovery Bot, etc."
"The drag-and-drop feature is valuable."
"The most valuable feature of the product is the flexibility, as there are so many features that you can use to develop, and it can hit a lot of use cases."
"The most valuable features of this solution are its scalability, security using the credential vault, and ease of use for business."
"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."
"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 most valuable feature is key-value pair and table extraction."
"One of the most valuable features is the intelligent recognition of the fields. The algorithm is able to recognize them based on the pattern. Also, the machine learning model enables you to use predefined solutions. The machine-learning capabilities of the solution are very cool."
"Document Understanding has better machine learning or ML capabilities, and that is why I prefer Document Understanding."
"The entity-level extraction is very good. The workflow is also very good."
"UiPath provides a useful feature that allows us to classify documents as invoices or not."
"Document classification is very good."
"UiPath's Document Understanding significantly reduces the effort needed to train a machine-learning model for our documents."
"The prebuilt algorithm for extracting foreign invoices is the most valuable feature because it eliminates the need for us to build anything from scratch."
 

Cons

"I really appreciate the user interface of Automation Anywhere, but I would like to see some improvement on some of the automation around screen processing. This includes adding some artificial intelligence on the way that bots actually can read the screen and know when things change and be able to adapt to those changes."
"I believe there is room for improvement in Automation Anywhere, particularly in their training programs, which need more development."
"Configuring A2019 and using it is getting a little difficult because of frequent errors of compatibility. It is not so user friendly like the enterprise desktop version."
"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."
"I just came to understand that there is a cloud attached to it. I would like to see how the cloud is going to work, because every application is coming out with a cloud version. If you are not on-premise, then you will need to have Citrix automation."
"We would like to see more options for merging and un-merging PDFs. More flexibility there would be good. We've figured out ways around this and, using their software, we've been able to do everything we wanted to do. It just took a bit more time to do it. We were on version 10.5 and in their Bot Store they actually had a bot that did exactly what we wanted to do, but it was for Version 11.0."
"Automation Anywhere could improve by better integrating with DevOps. Currently, it cannot be integrated 100% with DevOps methodology, which many companies are requiring."
"The main problem that I have with Automation Anywhere is the support. When I have problems that I cannot solve by myself, it is hard to achieve a good result with support. Language is another issue."
"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."
"I think Nanonets can be improved as the pricing seems to be a bit high, which is one of the things they should improve."
"The results of classifying patient documents within UiPath Document Understanding need to be more accurate."
"There is room for improvement in handwriting processes."
"There is still room for enhancement in capturing line items from invoices."
"It would be much easier if UiPath increased the count of pages. Currently, they are allowing one million pages for $10,000 per month. I would prefer to increase the page count or reduce the dollar count in terms of processing the documents. I would prefer $6,000 per month for processing 2 to 3 million pages per month. It will then be much easier for companies with a low budget to use this product."
"UiPath Document Understanding requires more database connectors."
"The licensing model poses a significant challenge due to the fee charged for posting a model, which impedes the development of productivity-enhancing models."
"Document Understanding's handwriting comprehension is improving, but it's still not as good as printed documents. Machine learning models, in general, are becoming mature, but it's still not to a point where I will give it five stars. I may give it a two or three. It is still not advanced enough to identify whatever handwritten content you give to it. It can process handwriting, but you need a human to validate it. With more training, it will become more automated. It will be better by 2025, but it is still not mature enough"
"There is also room for improvement in long-running table extraction. If a table continues for more than 10 pages, in some cases, we have observed that it only extracts six or seven pages and skips the last pages."
 

Pricing and Cost Advice

"In terms of monetary savings, we automated a bot in three days that has saved us $30,000 in costs."
"From my experience, I can say that the initial setup cost is easily recovered over a period of time once the bots start running in production."
"Licensing costs range from $50,000 to $200,000."
"Licensing for Automation Anywhere (AA) is paid on a yearly basis. Out of all the RPA tools, it has the most value for money, e.g. what you pay is what you get."
"In terms of pricing, it's not at all cheap, and that's a concern. The licensing cost is very high. While I don't know the exact prices of other tools, Microsoft offers the lowest pricing for its RPA platform compared to UiPath and Automation Anywhere."
"Subscription for Automation Anywhere (AA) is paid yearly."
"Automation Anywhere's pricing falls within the mid-range, but the long-term benefits outweigh the initial investment."
"Our pricing a year ago was $600 per license."
Information not available
"The price for UiPath Document Understanding is a bit expensive."
"UiPath Document Understanding offers fair pricing, primarily if you consider the number of resources and human work the solution reduces, plus the ROI you can get from it."
"UiPath Document Understanding is considered a bit expensive compared to other options like Microsoft Azure, which can offer similar quality at a more affordable rate."
"I have only been using its free version."
"It's expensive, but you can reduce the price per license by getting more licenses. Overall, the pricing is okay."
"UiPath has a higher upfront cost, but its Document Understanding feature is not a significant additional expense compared to the overall platform."
"Document Understanding's price is quite high."
"On a scale of one to ten with ten being the most expensive, I rate UiPath Document Understanding an eight on cost."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Construction Company
11%
Manufacturing Company
11%
Outsourcing Company
10%
Construction Company
18%
Financial Services Firm
16%
Healthcare Company
8%
Manufacturing Company
8%
Financial Services Firm
19%
Manufacturing Company
10%
Insurance Company
7%
Construction Company
7%
 

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
Small Business20
Midsize Enterprise11
Large Enterprise26
 

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...
What is your experience regarding pricing and costs for UiPath Document Understanding?
Both UiPath and Blue Prism are expensive. Customers are trying to move to some other Agentic space because of high pr...
What needs improvement with UiPath Document Understanding?
The challenge is more on handwriting and language-specific document extraction. There is some room for improvement wh...
What is your primary use case for UiPath Document Understanding?
We use it for broker closure, KYC, mortgage processing, and invoice processing as of now. We have about 100,000 invoi...
 

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 Nanonets vs. UiPath IXP and other solutions. Updated: July 2026.
909,563 professionals have used our research since 2012.