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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
6.8
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
UiPath IXP
Ranking in Intelligent Document Processing (IDP)
2nd
Average Rating
8.0
Reviews Sentiment
5.2
Number of Reviews
57
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 UiPath IXP is 4.8%, down from 9.7% 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 IXP4.8%
Nanonets1.5%
Other90.3%
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.
SE
Consultant at a consultancy with 201-500 employees
Automation has transformed invoice extraction and has reduced manual processing time dramatically
When it comes to improvements in UiPath IXP, there is a challenge with different languages, particularly Arabic invoices or handwritten ones, where there is some mismatch or difference in extraction. This could be improved. For instance, if there is a "Z" available on the screen, it may be identified as "2." Improvements in these two areas from the extraction point of view are necessary, along with considerations regarding pricing levels. In terms of support, UiPath is performing very well. Whenever we require assistance from UiPath, it has been positive. However, I would suggest that there is room for improvement in identifying complex different layout invoices, particularly for handwritten text, since there is potential for improvement in that area.

Quotes from Members

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

Pros

"Automation Anywhere and even previous versions, which I've worked on, have good core functionality. The core functionality of being able to automate and build a solution that is local and low code is one of the key differentiators that's allowed us to find success."
"We've had many sit-down conversations with the Automation Anywhere team when we were testing out the document automation. We gave them feedback about potential enhancements, so when we launched our most recent document automation use case, the capabilities were already there. We didn't need to come up with a workaround or put the project on hold because the things we needed were unavailable. That commitment to customer success stands out because they know that without us, the product won't succeed."
"We have already seen ROI, and we are already clocking in around 7000 hours of savings per month in terms of productivity."
"It provides, not only hard benefits, but also soft benefits, leaving the human mind free of all voluminous repetitive tasks so workers can do the work that they are intended to do, which is thinking."
"It gives us the capability of leveraging our investments in different applications. I can use Automation Anywhere to tie a number of applications or processes together, without having to do in-depth coding to automate something."
"We have increased our productivity internally by using RPA with our employees who are completing the same tasks every day."
"Ease of use is one thing that definitely first comes to mind when I think of Automation Anywhere. The tools are built in a fairly straightforward way. The documentation is really good and a Knowledge Base is available on every topic."
"Document Automation has had a significant impact on efficiency and productivity for us."
"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."
"The most valuable feature in UiPath Document Understanding is the identification of the fields column in the PDF documents."
"UiPath's Document Understanding significantly reduces the effort needed to train a machine-learning model for our documents."
"It's great for document understanding for invoices and installments."
"It is a pretty scalable tool, and it works well for big companies."
"Has a very good machine learning feature."
"The best feature, in my opinion, is, we can train the document using a machine-learning classifier."
"We are working with 40,000 different vendor templates. Document Understanding can understand and process various formats without much manual effort to configure the templates. That wasn't the case when we were using Microsoft."
"We can integrate document understanding with other systems and applications."
 

Cons

"The improvements that we could see would be the increased stability of each A2019 releases and reduce the likely impact on existing features. We are also looking to see improvements in the upgrade and bot deployment processes to make them easier and less interaction with back end servers."
"I suggest that they add some features in dashboard, where you can say, "These type of features are things that people like more." You want to add those to your project and showcase them to the client so they will be happier. Because you know what features people like if you give a suggestion, that is good for everyone."
"Automation Anywhere Control Room should update to the newer versions with one click, including the newer features. There should be minimum effort required from the IT organization. The major resistance from any organization is from the IT organization because they have a lot of dependencies and will sometimes resist doing changes because they have other activities and applications to manage. Future versions should minimizing their work."
"We'd like to see more AI features."
"Automation Anywhere could add more tools to track the processes and ROI, so we can get a better understanding of the cost savings and compliance. We heavily track those metrics and make them available to the leadership for review."
"When comparing the code under version checks, although there is a change done, it doesn't say so because the change is done at the variable level and not in the line of code."
"We would like Automation Anywhere to have a way to run a capacity check on machines and show us what is available."
"However, maybe because this is a new version with a change in platform, it still has some bugs."
"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."
"The rising annual licensing cost of UiPath's Document Understanding product is a major turnoff for users."
"UiPath Document Understanding's ability to read handwritten files has room for improvement."
"The signature comparison feature of UiPath Document Understanding could be improved."
"UiPath Document Understanding's ability to handle diverse document formats, including scans and signatures, needs improvement."
"The UiPath APIs lack reliable table parsing."
"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."
"The results of classifying patient documents within UiPath Document Understanding need to be more accurate."
"Document Understanding would be improved with more AI platforms."
 

Pricing and Cost Advice

"The pricing and licensing are definitely moderate to costly but easily recoverable by achieving ROI quickly."
"The major reason that we selected Automation Anywhere was the licensing model."
"The cost is affordable, which makes an easy barrier to entry for the RPA market."
"It has good licensing costs which are average for the market."
"The pricing strategy for us is one license for development. It is more complicated than that depending on the options you choose."
"It is reasonable and affordable. If you consider the tasks that we can get done using this, the pricing is reasonable and affordable."
"We have seen ROI in terms of cost and time with a couple of our projects."
"The setup and licensing cost is affordable, and it is not exaggerated like UiPath."
Information not available
"One of the biggest challenges we face with UiPath is the pricing structure."
"UiPath has a higher upfront cost, but its Document Understanding feature is not a significant additional expense compared to the overall platform."
"While Robotic Process Automation tools can be expensive, UiPath Document Understanding is no exception."
"On a scale of one to ten with ten being the most expensive, I rate UiPath Document Understanding an eight on cost."
"The solution’s cost increases for machine learning or artificial intelligence because we have to go for UiPath Orchestrator."
"I used the community version, so there was no fee."
"I have only been using its free version."
"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the solution a nine."
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920,929 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%
Financial Services Firm
18%
Manufacturing Company
10%
Outsourcing Company
10%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business162
Midsize Enterprise86
Large Enterprise565
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise12
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?
My experience with pricing, setup cost, and licensing has been somewhat complex. I feel that the pricing structure is...
What needs improvement with UiPath Document Understanding?
When it comes to improvements in UiPath IXP, there is a challenge with different languages, particularly Arabic invoi...
What is your primary use case for UiPath Document Understanding?
We have been using UiPath IXP previously after utilizing UiPath's Document Understanding for one of our clients. We f...
 

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: September 2026.
920,929 professionals have used our research since 2012.