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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
641
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 (1st), AI Legal & Compliance (1st), AI Finance & Accounting (1st), AI Procurement & Supply Chain (1st)
Nanonets
Ranking in Intelligent Document Processing (IDP)
17th
Average Rating
8.0
Reviews Sentiment
2.2
Number of Reviews
1
Ranking in other categories
No ranking in other categories
UiPath IXP
Ranking in Intelligent Document Processing (IDP)
3rd
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 June 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.1%, down from 3.4% compared to the previous year. The mindshare of Nanonets is 1.7%, up from 1.3% compared to the previous year. The mindshare of UiPath IXP is 4.8%, down from 12.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intelligent Document Processing (IDP) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere3.1%
UiPath IXP4.8%
Nanonets1.7%
Other90.4%
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.
AK
Senior Rga Developer at a tech vendor with 10,001+ employees
Automation has transformed complex sales order tables into accurate data for our ERP
I have observed that while training Nanonets, we must provide a larger number of examples or documents. When I trained the model, it usually requested around 50 documents as a dataset to train the model. I found this very difficult because business users are not very helpful in providing such a large number of documents; we usually have around two, three, or five. It would be helpful if we could start training the model with limited datasets and then have an option to always improve the model by providing more datasets as we progress through the journey, but it should not be a blocker at the first stage where you need to provide at least 50 samples for a model to train.
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

"We are having a very good experience with this product."
"Our organization used to have a process which took five business days to do: our monthly pricing update. This was a very manual process. Our very first bot built was to automate this process. Now, the bot runs in the background every month and the process takes less than a day to run."
"Within less time than it used to take, we can automate a complete Apex task."
"Workflow automation has helped a lot with cost reduction, greater accuracy, and delivery speed."
"The most valuable feature of Automation Anywhere is the ease with which it integrates with our existing APIs."
"My organization has worked with multiple clients and helped them automate their repetitive and mundane processes, and these organizations have seen a drastic increase in employee productivity, reduced human errors, and better SLAs, all of which leads to customer satisfaction."
"I'm impressed with the scalability. We are able to do changes. We are able to scale from different environments now with the Control Room in version 10 and 11. The scalability is pretty good. It is up to the mark of the other market competitors."
"As a tool, IQ Bot is easy to use, powerful, and very competitive compared to others."
"Nanonets has positively impacted my organization by providing a solution that works for us as developers."
"I believe the most valuable feature is the prebuilt algorithm for extracting information from foreign invoices."
"The best feature, in my opinion, is, we can train the document using a machine-learning classifier."
"UiPath Document Understanding offers valuable features like Arabic language support, which is crucial for effective communication and automation in the Arabic-speaking world."
"The most valuable feature of UiPath Document Understanding is the AI Center."
"Has a very good machine learning feature."
"It is a pretty scalable tool, and it works well for big companies."
"The best feature is pre-labeling, as it eliminates the need to manually label each data point."
"I like the clear and organized way in which UiPath has structured the labeling process, as well as the user-friendly development environment."
 

Cons

"AA has many features but the issue is with the loss of overhead on computing resources."
"To improve the product, one aspect that Automation Anywhere can work on is archiving legacy data effectively. Currently, data older than current versions remains on the server, slowing the system down."
"One thing I learned with Co-Pilot is that it is very static. For instance, when dealing with tables and their headers, I must program them in a form. If my build changes, I have to return to my form and update the table titles. Features like looping are missing from Co-Pilot."
"I would rate Automation Anywhere's support a four out of ten because the support is horrible for all customers."
"The older versions, like version 8 and 9, were not very stable."
"It does not easily integrate with customized solutions."
"If you work with image recognition and custom objects, there are stability issues."
"The bot scaling process was painful, when you go beyond a few bots, and because we had stability issues. We had to work through the issues, and they took us a long time."
"I have observed that while training Nanonets, we must provide a larger number of examples or documents."
"UiPath Document Understanding's ability to handle diverse document formats, including scans and signatures, needs improvement."
"The results of classifying patient documents within UiPath Document Understanding need to be more accurate."
"They can include some features in utilizing the product of assessment understanding, or more specifically, a better efficient handling of the ML skill, which right now is not that efficient."
"Document Understanding would be improved with more AI platforms."
"The solution must localize the built-in features for supporting Arabic scripts so we do not rely on third-party tools."
"At times, the scanning functionality of the tool may fail to generate accurate output, resulting in the need for manual input."
"UiPath Document Understanding has challenges with handwriting and screenshots."
"The signature comparison feature of UiPath Document Understanding could be improved."
 

Pricing and Cost Advice

"I would rate the cost an eight out of ten, with ten being the highest cost."
"We have purchased licenses, but are trying to obtain more bot programmer licenses."
"We're paying a monthly subscription fee for the bot and for services. There are no additional costs beyond the standard licensing fee."
"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."
"The certifications are free of cost."
"Although the initial implementation cost of Automation Anywhere is relatively high compared to other options, its annual subscription cost is lower than UiPath's, which has the opposite pricing structure."
"The solution's pricing is pretty decent."
"It is expensive. I would rate Automation Anywhere an eight out of ten in terms of pricing."
Information not available
"UiPath Document Understanding is expensive, with the basic annual package including 6,000 documents and the next package including one million documents, a huge price difference."
"UiPath Document Understanding carries a premium price tag, but its current technological capabilities may not yet fully justify the cost."
"UiPath's pricing model is complex and based on AI units, which are consumed during model training and use."
"The last time we implemented UiPath Document Understanding the price was high."
"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."
"The cost per license is significant, approaching ten thousand dollars."
"UiPath is a pricey tool for small customers."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
12%
Construction Company
11%
Computer Software Company
7%
No data available
Financial Services Firm
20%
Manufacturing Company
10%
Computer Software Company
8%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business154
Midsize Enterprise82
Large Enterprise536
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?
I have observed that while training Nanonets, we must provide a larger number of examples or documents. When I traine...
What is your primary use case for Nanonets?
Nanonets is primarily used for table extraction from native and scanned PDFs. I have implemented Nanonets for sales o...
What advice do you have for others considering Nanonets?
I cannot speak to the exact cost, but I can say Nanonets saved around six hours per day for a business user for a sin...
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...
 

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, ABBYY, UiPath and others in Intelligent Document Processing (IDP). Updated: May 2026.
900,747 professionals have used our research since 2012.