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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

"Other products are more low-code, whereas Automation Anywhere is no-code making it easier to learn and user-friendly."
"At the end of the day, the effort that you put in has exponential benefits, giving you many advantages from your lines of code, which is amazing."
"The features of the Automation Anywhere bot bring us the ability to develop automations to production quickly."
"Bot Insights is the most valuable feature; we don't have to struggle with generating metrics around how the bots are performing, and this information coming out of Automation Anywhere is useful to us because of the way the metrics are generated, which inspires confidence in our customers."
"Earlier users were converting the unstructured data from the PDF into the structured format to process the task but now, this activity is replaced by IQ Bot."
"In 2018, we looked at some other products on the market, but Automation Anywhere was a perfect fit. We didn't have any issues that Automation Anywhere couldn't solve. The critical factor for us was its ease of use. We liked the drag-and-drop interface and the low-code capabilities."
"There have been a lot of challenges in terms of interfacing with the customer ERPs. So, we have been building tools and interfaces using bots to write back into these custom ERPs. Specifically, in the area where I work, this has been very helpful."
"The scope of automation by using Automation Anywhere has become wonderful."
"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."
"Document Understanding's best features are the action center and verification mode."
"The prebuilt algorithm for extracting foreign invoices is the most valuable feature because it eliminates the need for us to build anything from scratch."
"For me, the most valuable aspects of UiPath Document Understanding are its time efficiency and minimal human intervention."
"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."
"I believe the most valuable feature is the prebuilt algorithm for extracting information from foreign invoices."
"The highly visual and user-friendly interface was a standout feature."
"What I appreciate most about UiPath Document Understanding is that it's a good introduction tool for customers to use, and it can be deployed quickly."
"Scalability-wise, I rate the solution a nine out of ten...The solution's technical support is good."
 

Cons

"We looked at the Bot Store initially and didn't find much."
"The technical support needs improvement."
"As a developer, I would like to have copy commands available from one bot to another."
"We noticed slowness in a few of the commands like Object Cloning, Web Recorders, etc. on which Automation Anywhere can work to make it more robust. There are improvements required in the WLM solution provided by AA, which can make it a more robust queuing system and the system should retry by itself in case of failure due to system error."
"One area requiring improvement is the debugging process. When I use a multi-structure with conditions to switch from one bot to another, successful debugging of the entire process is not feasible. Each bot has to be debugged individually."
"Also, we're seemingly plagued with certain technological issues or bugs."
"When you are implementing it initially, it's challenging as there's a lot of change management."
"We have in-house, a few variables, which we use from technical perspectives. We don't have them in Automation Anywhere, but they introduced them yesterday."
"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."
"There is room for improvement in UiPath Document Understanding's pricing. It is expensive for small clients. Currently, there is a big gap between the basic package and the 200,000 packages. There is no package in the middle for small agencies."
"UiPath Document Understanding has difficulty identifying handwritten documents, and there is room for improvement."
"Right now, we are trying to use Instabase, which is another tool for document understanding. It may be one step ahead. It is faster than UiPath."
"Sometimes we have challenges when we need to read something like a barcode, so we must use the Cisco algorithm to solve the issue, or I have to ask developers for help specifically to capture this kind of information. There are other processes, such as refunds, that we still must do manually because there is no way to use automation to solve this issue."
"There is still room for enhancement in capturing line items from invoices."
"UiPath Document Understanding, while effective for its own platform, could be even more valuable if it integrated with other commonly used platforms, allowing for a more universal approach to document processing."
"The licensing model poses a significant challenge due to the fee charged for posting a model, which impedes the development of productivity-enhancing models."
"The machine learning model needs improvement, as we receive more and more unstructured documents from clients that require a lot of manual validation."
 

Pricing and Cost Advice

"We just did a round of price comparison on a global scale and found it's so hard to compare the license prices. But, Automation Anywhere, in general, is on the same price level as the other vendors, a bit lower in some cases."
"Our pricing a year ago was $600 per license."
"I don't agree with the IQ Bot licensing costs, which depends on the consumption of the document rather than per bot or user. This is confusing for me, because most of the cases for us in a possible future scenario, there would be a lot of invalid data to be scanned to get to real data. E.g., we would have to supply approximately 100 pages of scanned data to extract two pages of original data. In these type of cases, the IQ Bot might be a costly venture."
"The solution is costly and the licensing is very confusing."
"UiPath is exceptionally more expensive than Automation Anywhere. UiPath is far ahead of its competition, but in terms of finances, Automation Anywhere offers better value and is more effective for organizations seeking cost-effective solutions."
"Automation Anywhere is thought to be quite expensive, especially for smaller organizations."
"The cost for scalability is much cheaper than developing a new system."
"Talk to your manager and try to procure an automation license for training. This will allow you to train people, so you can move to automation."
Information not available
"Document Understanding's price is quite high."
"It is expensive. The license cost for UiPath Studio has risen to around 3.5 lakhs last year, and I am uncertain how much the increase will be this year. They have also increased the bot prices."
"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 is a pricey tool for small customers."
"The solution’s cost increases for machine learning or artificial intelligence because we have to go for UiPath Orchestrator."
"UiPath's pricing model is complex and based on AI units, which are consumed during model training and use."
"One of the biggest challenges we face with UiPath is the pricing structure."
"It's expensive, but you can reduce the price per license by getting more licenses. Overall, the pricing is okay."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Construction Company
11%
Manufacturing Company
11%
Outsourcing Company
10%
No data available
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 Enterprise81
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...
 

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
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Find out what your peers are saying about Nanonets vs. UiPath IXP and other solutions. Updated: July 2026.
908,834 professionals have used our research since 2012.