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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

"One thing I really like is the the recorder where you can connect with multiple systems. The OCR is also good."
"I definitely find that it has helped increase productivity."
"Automation Anywhere is fully configurable."
"Being able to implement automation is valuable. We take the business logic and provide a solution to the client. Defining the intelligence pipeline is the most interesting and challenging aspect for me."
"It has absolutely been worth it for us and has provided us with good value."
"Automation Anywhere is stellar and the pre-built bots on the bot store help reduce the development time and effort. The IQ Bot solution can read from scanned images and documents which has hugely benefited the mortgage processing team."
"We used to do many daily routine checks and jobs. We have implemented the automation knowledge which resulted in good productivity, time-saving, and extra efforts being reduced."
"Our first automation removed manual work from employees, so they are now able to more quickly product quality work."
"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 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."
"Scalability-wise, I rate the solution a nine out of ten...The solution's technical support is good."
"The entity-level extraction is very good. The workflow is also very good."
"Document Understanding's best features are the action center and verification mode."
"The solution allows us to continue with vendors whose information comes in correctly and to stop the automation for vendors with many items that are not clearly defined."
"The quality of the input documents is crucial because sometimes healthcare providers prefer automated processing rather than human review."
"UiPath Document Understanding produces a high accuracy rate of 98 percent."
"It shortens the time of extracting data by 70 to 80%."
"There are many features that can be added to the action center to keep humans in the loop to evaluate the accuracy of the extracted data."
 

Cons

"I would like to have a bot as a service platform on AA Cloud."
"There is still a way to go for Automation Anywhere where we can see improvement."
"Pricing with respect to the competitors is more."
"You could improve the tools for reading CSV/Excel, also providing wizards or detailed guides, otherwise, it is quite complex to use them, especially at the beginning."
"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."
"When they develop the product, they don't always provide all the necessary details that a customer needs to implement the product."
"Attended automation sometimes might go into exceptions, thus we need to monitor it in-between, then check whether it is working properly. This way, we ensure the bot is working properly."
"The AISense recorder in Automation Anywhere needs improvement in resilience and OCR capabilities, particularly in comparison to UiPath's superior OCR functionality."
"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."
"I would like to see more integration of artificial intelligence. That's being implemented, but it would be a massive improvement to the solution's document processing. If UiPath achieves intelligent document processing, it will be far better than anything on the market. There are currently some limitations with the fields that could be addressed using a GPT engine. With an integrated AI model, you wouldn't need to create your taxonomy. You would only need to provide some prompts, such as "What is the property name?" It will store that as a variable."
"They often ask us to go through the documentation first instead of directly explaining or addressing the root cause of issues."
"The downsides are that it's wildly overpriced."
"The extraction and classification process should be simplified."
"UiPath Document Understanding can improve its handwriting and signature recognition."
"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."
"The documentation should be more clear, or better training should be provided."
"Handwriting recognition in UiPath Document Understanding is very difficult."
 

Pricing and Cost Advice

"It is somewhere in the middle. The price and value of Automation Anywhere are better than UiPath. The pricing is good globally. It could be a little bit cheaper, but it is good."
"The enterprise version is expensive for small businesses and individual users."
"It is the most economically friendly and it provides you with a lot of functions."
"Automation Anywhere University is pretty good. They make it available free for everyone."
"I would like them to have better license management."
"Yearly, our licensing costs are about $90,000 to $100,000. There will be additional licensing costs when we add more Bot Runners to our infrastructure."
"It is not too expensive, but there are many tools available in the market that can provide the same functionality at a cheaper price."
"Its cost is good."
Information not available
"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the solution a nine."
"The price for UiPath Document Understanding is a bit expensive."
"The cost per license is significant, approaching ten thousand dollars."
"UiPath's pricing model is complex and based on AI units, which are consumed during model training and use."
"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."
"It's expensive, but you can reduce the price per license by getting more licenses. Overall, the pricing is okay."
"While Robotic Process Automation tools can be expensive, UiPath Document Understanding is no exception."
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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.