Grooper vs UiPath IXP comparison

BIS and UiPath are both solutions in the Intelligent Document Processing (IDP) category. BIS is ranked #28, while UiPath is ranked #3 with an average rating of 7.2. BIS holds a 0.9% mindshare in IDP, compared to UiPath’s 4.8% mindshare. Additionally, 100% of BIS users are willing to recommend the solution, compared to 90% of UiPath users who would recommend it.

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Executive SummaryUpdated on Jan 18, 2026

Grooper and UiPath IXP are competing in data process automation and integration. Grooper stands out for its flexibility and data extraction, while UiPath IXP, with its broader feature set, is preferred, despite its higher cost.

Features: Grooper offers flexibility with extractors, efficient table extraction methods, and robust image processing and OCR capabilities. UiPath IXP integrates comprehensive machine learning capabilities, scalability across various document types, and seamless integration with diverse systems.

Room for Improvement: Grooper's documentation can be overwhelming for beginners, the support ecosystem could be enhanced, and its user interface could be more intuitive. UiPath IXP's machine learning adaptation requires significant training data, documentation could be more detailed, and improvement in handwriting accuracy is needed.

Ease of Deployment and Customer Service: Grooper provides straightforward deployment but lacks extensive support resources. UiPath IXP offers extensive resources and support options, ensuring smoother implementation and superior customer service.

Pricing and ROI: Grooper presents a lower setup cost, appealing to budget-conscious businesses seeking specialization in data solutions. UiPath IXP, with a higher setup cost, justifies the investment through scalability and enhanced ROI over time.

To learn more, read our detailed Grooper vs. UiPath IXP Report (Updated: June 2026).

Buyer's Guide

Grooper vs. UiPath IXP

June 2026

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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

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 Grooper is 0.9%, up from 0.5% 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
Product	Mindshare (%)
Automation Anywhere	3.1%
UiPath IXP	4.8%
Grooper	0.9%
Other	91.2%

Intelligent Document Processing (IDP)

Featured Reviews

Venkat Sivaprakash

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.

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it_user1552698

President and COO at a computer software company with 51-200 employees

Good data ingestion and classification capabilities, supports various media types and formats, and the interface is easy to use

Currently, we're still using version 2-7-2, and now they're about to do the beta release on their version 2021. In this coming version, we expect that some of our issues will be fixed. We've had challenges in classification tasks where similar documents were flagged as multiple matches. The system would identify them and say, "Hey, I think I've got multiple matches. It could either be this one or that one." Because of that, it required us to instruct the system to either leave it unclassified, or we had to halt the process for somebody to look at it. With the new version for 2021, they have changed the paradigm. As it is now, we're using something called a form type, where pages within the document are referenced using a specific page number. For example, in a ten-page document, you might refer to information specifically on the first or fifth page. In the new paradigm, there is a first, middle, and last page concept, as opposed to having the different form types with all of the different pages. What they're telling me is that it's going to make the classification more accurate. Just because the first page of two different documents looks the same, they will not be considered duplicates. Having multiple points of reference will now allow it to better distinguish them. The other area we have had challenges with is table extractions, where if the data headers were not defined, or the tables did not have descriptions for the columns. My understanding is that in the 2021 version, they've now shown that they're handling that. Again, we don't have it and haven't been able to test it, but it's coming. Technical support is definitely an area that they need improvement in, in terms of the front-line individuals.

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Gangadhar Wali

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.

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Quotes from Members

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

Pros

"We're able to create reusable components. We don't want people to have to rebuild things from scratch. In this way, developers can take the reusable components and complete their development processes more quickly."

"The management works well."

"The process to add licenses has been very straightforward and seamless."

"Without thinking twice, I would recommend going for Automation Anywhere."

"This product is easy to use, and it helps business users to more easily understand RPA."

"The solution has removed humans making errors while increasing our time savings, and we now have a lot more efficiencies in our process."

"One of the strengths of Automation Anywhere is its user-friendly interface, which makes it accessible even to those without a development background."

"The features that we found most valuable have been just automating manual processes. We are able to integrate and work with applications that users typically work with. That has been the best feature for us right now."

More Automation Anywhere pros

"There are many options and customizations that you can make to each individual extractor that allows you to tweak it for exactly what you need."

"Grooper processes difficult sorts of data and unstructured or semi-structured content very well. It's probably one of the better solutions I've seen compared to other solutions I've seen out there. It does a lot more things like segmentation extraction. It does it a lot better. Grooper has more focus on these types of freeform documents where other solutions are very generic and this is a little more elaborate in what they've done. I think they take it to the next level of extracting freeform data."

"So now we're doing stuff that takes literally minutes, or even sometimes seconds, and we've reduced the labor by a hundredfold."

"Lexicons where the key vocabulary can be inputted it is very helpful."

"Using Grooper has sped up our data entry process between two and eight times, depending on the exact process."

"In certain types of jobs, I would estimate that using Grooper saves us 70% of the time it normally takes to complete it."

"The user interface is easy to use, and the flexibility is noteworthy."

"With Grooper, the old archive of information can be obtained with the models we built."

"The machine learning (ML) extractor is valuable. It helps in extracting information from even unstructured documents. It can sometimes also extract information from a written document. Without much manual intervention, it is able to process the documents. This is a unique feature of UiPath Document Understanding."

"In UiPath Document Understanding, I use two extractors. One is the Intelligent Form Extractor and the other is the Machine Learning Extractor. The first one is very useful and user-friendly. When we have a single template or two to three templates, Intelligent Form Extractor is much easier to use. But if we have multiple templates, it's better to go with ML Extractor as you can train the model with different templates."

"The quality of the input documents is crucial because sometimes healthcare providers prefer automated processing rather than human review."

"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."

"The most valuable feature is the ability for humans to train the bot."

"Invoice processing is the most valuable feature. Most of my customers use Document Understanding for invoice processing. That's one of the most common use cases. Typically, each customer starts their RPA journey with the finance department because that's the area where you can see the most benefit."

"Machine learning is the most valuable feature of UiPath Document Understanding."

More UiPath IXP pros

Cons

"The mobile application can be improved by adding more functions and capabilities because right now, only a few features are enabled for mobile users."

"They will need much more support, because it is a new thing and it’ll never fail because of productive partners. It will fail if people on the “gemba” don’t adopt it."

"It would be great if there will be a built-in machine learning model available in the AA, so the developer can directly map it with their task and train the model accordingly."

"It would be useful to have some updates for the control room in terms of analytics."

"Automation Anywhere will sometimes announce releases or updates in their roadmap, and we wait for them, but they do not happen on time or at all."

"Technical support needs to be worked on as the turnaround time can be around a week, even though we are just using the solution on a pilot basis. We are working in real-time with realistic data. While the process of a logging a ticket is good, the process from logging a ticket to closure needs faster support time."

"There is a dependency issue around the control room. If the control room is not working, the bots will not work."

"Instead of depending on other open-source BPM products, AA should provide their own BPM for attended automations."

More Automation Anywhere cons

"They should have more sub-extractors or exclusion extractors so that the user does not have to make a parent data type."

"There are few bugs that my superior has posted in the Grooper exchange that concerned errors with the OCR."

"Technical support is definitely an area that they need improvement in, in terms of the front-line individuals."

"Grooper is new. It's new beta stuff, so we've had some issues, but that's understandable. Getting the beta product to more of a true release is where it needs improvement. I'm going through training now, so it's hard to judge what they have and don't have until I get through that training. Training is the main thing for me because I'm trying to learn and take things I've learned from other products and try to transfer that knowledge to this one."

"Grooper is new. It's new beta stuff, so we've had some issues, but that's understandable."

"If Grooper could "sense" important fields on the document and auto-build extractors for them, that'd be really cool."

"One area where UiPath could improve is by including pre-trained models for general-use documents specific to the Middle East."

"A lot of coding is required to make handwriting decoding happen; it's not so easy as plug and play."

"The results of classifying patient documents within UiPath Document Understanding need to be more accurate."

"The licensing model poses a significant challenge due to the fee charged for posting a model, which impedes the development of productivity-enhancing models."

"There could be a feature similar to ChatGPT where when you ask about a document, you get an answer about what is there in that document. If possible, this kind of feature can be incorporated so that you do not need to open a file and take the value. It should directly detect that instead of opening and validating the document. Such a feature will speed up the process."

"UiPath Document Understanding has difficulty identifying handwritten documents, and there is room for improvement."

"The extraction can be better. ABBYY FlexiCapture has more capabilities than Document Understanding. It can also extract automatically without training, whereas with Document Understanding, we need to train everything."

"If there were more integrations with Veracode or the AWS server, so we don't have to completely transfer our data and keep data on our servers, that might increase security."

More UiPath IXP cons

Pricing and Cost Advice

"Additional costs will be for the machines and the number of machines that you are using. You can deploy virtually as well as on physical machines. In both the situations, you do need to allocate a certain budget for securing the machines and where the software will be installed and running. The machines cannot be used for anything else, because only a certain bot can run at a certain time. You need to be very particular about your scheduling of running the bots, and while the bot is running nobody can use the machine. You cannot have an agent working on a machine and the bot running in the background. It has to be completely dedicated. Then there are the network bandwidth requirements and space requirements, which are additional costs apart from the licensing and software costs. The developer is also going to charge you for their coding time too."

"This is a value for the money product."

"I do not know the price, but I am told that it is cheaper than UiPath."

"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."

"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."

"There may be room for the product to be more competitively priced to excel in the market."

"Pricing is too high for small-scale groups. The Control Room yearly fee is high, making it difficult to break even."

"Automation Anywhere is cheaper than UiPath and Blue Prism. From a market point of view, Automation Anywhere is reasonable. Any organization can adopt Automation Anywhere."

More Automation Anywhere pricing and cost advice

"Overall, their pricing is higher than the competitors, but they offer functionality that is otherwise not available."

"Know how many pages you will be needing to process, as the pricing is based on that."

"Our clients are concerned about the volume-based pricing model, as UiPath charges more than other vendors in the market."

"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."

"I used the community version, so there was no fee."

"UiPath has a higher upfront cost, but its Document Understanding feature is not a significant additional expense compared to the overall platform."

"I find the pricing to be somewhat on the higher side."

"UiPath Document Understanding carries a premium price tag, but its current technological capabilities may not yet fully justify the cost."

"Document Understanding's price is quite high."

"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."

More UiPath IXP pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Construction Company

12%

Manufacturing Company

11%

Computer Software Company

No data available

Financial Services Firm

20%

Manufacturing Company

10%

Computer Software Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	154
Midsize Enterprise	82
Large Enterprise	536

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
Large Enterprise	26

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...

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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...

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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.

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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...

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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...

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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...

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Comparisons

UiPath Platform vs Automation Anywhere

Compared 13% of the time

Microsoft Power Automate vs Automation Anywhere

Compared 10% of the time

Blue Prism vs Automation Anywhere

Compared 7% of the time

WorkFusion vs Automation Anywhere

Compared 2% of the time

AutomationEdge vs Automation Anywhere

Compared 2% of the time

More Automation Anywhere Competitors

OpenText Capture vs Grooper

Compared 100% of the time

More Grooper Competitors

ABBYY Vantage vs UiPath IXP

Compared 13% of the time

Tungsten TotalAgility vs UiPath IXP

Compared 9% of the time

Instabase vs UiPath IXP

Compared 8% of the time

Resistant AI Document vs UiPath IXP

Compared 6% of the time

Amazon Textract vs UiPath IXP

Compared 6% of the time

More UiPath IXP Competitors

Product Reports

Buyer's Guide

Automation Anywhere

June 2026

Download Automation Anywhere product report

Buyer's Guide

Grooper

June 2026

Download Grooper product report

Buyer's Guide

UiPath IXP

June 2026

Download UiPath IXP product report

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)

No data available

Interactive Demo

Automation Anywhere

Demo not available

BIS

Demo not available

UiPath

Overview

Automation Anywhere offers ease of use, robust system connectivity, and GenAI-driven document automation through a cloud-native platform, significantly enhancing productivity across multiple industries with advanced AI features.

Delivering a comprehensive suite of tools designed for easy integration and rapid deployment, Automation Anywhere drives efficiency by reducing costs and automating repetitive tasks. Its cloud-native platform supports broad industry adoption, including advanced AI features like process automation and Co-Pilot, streamlining complex workflows with minimal technical skills required. Users benefit from robust integration capabilities, which facilitate seamless interaction with multiple systems. However, there is room for improvement in areas such as user-friendliness for beginners, stability, flexible licensing, and enhanced OCR functionality. Organizations in sectors such as banking, finance, manufacturing, and healthcare gain from the improved operational efficiency and ROI Automation Anywhere offers.

What are the important features of Automation Anywhere?

Ease of Use: Simplifies automation tasks with a user-centric interface.
Robust Connectivity: Provides seamless integration with multiple systems.
GenAI-Driven Document Automation: Leverages AI to automate document management.
Process Automation & Co-Pilot: Enhances workflow automation with advanced AI.
Cloud-Native Platform: Enables rapid deployment and integration.

What benefits should be evaluated in reviews?

Time Savings: Automation drastically reduces manual processing time.
Cost Efficiency: Decreases overall operational costs by automating tasks.
Productivity Enhancement: Streamlines workflows with AI-driven tools.
Improved Integration: Enhances ability to work with multiple systems.
Scalability: Supports growth with a flexible cloud-native architecture.

In the insurance industry, Automation Anywhere is utilized for automating processes such as enrollment management and compliance checks. Its applications extend to supply chain management, financial transactions, and business performance monitoring across sectors like banking, finance, manufacturing, and healthcare, helping organizations to automate routine tasks, improve efficiency, and reduce costs.

Automation Anywhere

Grooper stands out with customizable extractors and flexible classification using positive extractors. It offers exceptional data extraction accuracy without samples, managing diverse file types through an intuitive interface.

Designed for handling unstructured data, Grooper offers ease of configuration through GUI-based operations. It efficiently processes scanned documents and physical files, transforming them into database entries. With capabilities such as keyword labeling and segmentation extraction, it is valuable for data science tasks. Though it excels in many areas, improvements are needed in document field recognition, extractor editing, and classification accuracy. Attention to stability, OCR errors, and technical support is essential, with future releases promising enhancements.

What are Grooper's most important features?

Customizable Extractors: Adjust extractors to fit specific needs for precise data retrieval.
Flexible Classification: Employ positive extractors for effective data classification.
Exceptional Accuracy: Achieve high accuracy in extraction without the need for samples.
Intuitive Interface: Facilitate operations with a user-friendly GUI.
Efficient OCR and Image Processing: Enhance versatility with robust image handling and data export options.
Powerful Table Extractors: Extract detailed information from complex tables and lexicons.

What benefits should users look for in reviews?

Data Transformation: Effective conversion of physical files into digital databases.
Workflow Consistency: Reliable results across different processing tasks.
Versatility: Suitable for a wide range of file types and document structures.
Configuration Ease: Simple configuration through graphical settings.
Data Science Applications: Supports advanced data extraction necessary for data-driven tasks.

Companies utilize Grooper to extract and validate data from scanned documents for database integration. Common applications include invoice processing, oil and gas lease analysis, and accounts payable support, as well as classifying mortgage documents and itemizing bill data. Users build and adjust models for different PDF formats, ensuring data accuracy and efficient workflow management.

BIS

UiPath IXP leverages machine learning and OCR technology to streamline document processing. Its intelligent field recognition and prebuilt algorithms enhance accuracy, offering integration capabilities to meet demands across industries, while addressing pricing and handwriting recognition challenges.

UiPath IXP provides robust automation for document management with features like efficient document classification and the ability to process different formats, including handwritten and image-based inputs. The AI and Action Centers facilitate validation processes, making it adaptable for multiple use cases. Although handwriting recognition and integration with other systems need improvement, its pre-trained templates ensure swift deployment. Pricing concerns remain, particularly for smaller organizations, but IXP continues to be an advantageous solution in document automation when accuracy and efficiency are prioritized.

What are the key features of UiPath IXP?

Machine Learning: Automates and optimizes data processing.
Easy Integration: Seamlessly connects with other systems.
OCR Technology: Accurately captures text from images and scanned documents.
Intelligent Field Recognition: Identifies and processes diverse document elements.
Prebuilt Algorithms: Reduces manual interventions, enhancing precision.

What benefits or ROI should be expected from UiPath IXP?

Document Automation: Streamlines complex document workflows.
Accuracy: Minimizes errors with advanced recognition capabilities.
Efficiency: Lowers operational costs via reduced manual tasks.
Rapid Deployment: Pre-trained templates ensure quick setup.

In finance, UiPath IXP automates invoice handling and data extraction, crucial for reducing manual effort. Healthcare leverages it for managing patient records with high accuracy. Manufacturing benefits from processing order forms and compliance documents, handling substantial volumes efficiently and effectively.

UiPath

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics

Oklahoma DOT, Mercy Hospital System, OLERS, Oklahoma State University, Change Healthcare, U.S. Nuclear Regulatory Commission, American Airlines Credit Union

Information Not Available

Buyer's Guide

Grooper vs. UiPath IXP

June 2026

Free Report: Grooper vs. UiPath IXP

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