Grooper vs Nanonets comparison

BIS and Nanonets are both solutions in the Intelligent Document Processing (IDP) category. BIS is ranked #27, while Nanonets is ranked #13 with an average rating of 8.0. BIS holds a 1.0% mindshare in IDP, compared to Nanonets’s 1.7% mindshare. Additionally, 100% of BIS users are willing to recommend the solution, compared to 100% of Nanonets users who would recommend it.

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Grooper and Nanonets based on real PeerSpot user reviews.

Find out what your peers are saying about Automation Anywhere, UiPath, ABBYY and others in Intelligent Document Processing (IDP).

To learn more, read our detailed Intelligent Document Processing (IDP) Report (Updated: May 2026).

Buyer's Guide

Intelligent Document Processing (IDP)

May 2026

Download the complete report

Helped 902,894 peers since 2012

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 July 2026, in the Intelligent Document Processing (IDP) category, the mindshare of Automation Anywhere is 3.4%, down from 3.4% compared to the previous year. The mindshare of Grooper is 1.0%, up from 0.6% compared to the previous year. The mindshare of Nanonets is 1.7%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Intelligent Document Processing (IDP) Mindshare Distribution
Product	Mindshare (%)
Automation Anywhere	3.4%
Nanonets	1.7%
Grooper	1.0%
Other	93.9%

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.

Read full review

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.

Read full review

Amit Kumara

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.

Read full review

Quotes from Members

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

Pros

"Automation Anywhere has helped my company with APIs. We are currently in a project to create APIs for our core banking service and other transactional systems, migrating from another integration technology to API."

"The immediate impact is administrative tasks which were traditionally done manually are now being done by robots. This reduces the workload for people."

"This solution allows for the letter generation to take place within seconds, improving the experience for the employees."

"The Visual Studio integration is smooth and user-friendly."

"We are able to create robotic tasks in a short time."

"We offer them a cost and time-effective solution for repeated and time-consuming processes, which surely help a lot in terms of improving quality."

"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."

"Implementation of Automation Anywhere (AA) allows us to automate business processes and has brought productivity gains, error reduction, and speed of execution in multiple HR and Finance operations."

More Automation Anywhere pros

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

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

"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."

"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."

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

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

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

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

"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."

Cons

"We have used the technical support. I am quite unhappy with the support part. The higher priority tickets are not getting resolved within the SLA. Higher priority tickets for production issues should be looked into immediately. However, until they get escalated, tickets are not receiving higher priority. I would like to see this improve."

"I would like the ability to extract the code. You can go line by line, then open up each line of code and dig into the details, but it would be nice to extract all of the lines of code and all of the details into a document so we could read through everything. Right now, there is no way to really consume all of the code at once, except line by line, which can be fairly time consuming if we don't really know what we are looking for."

"I don't use the technical support a lot. It feels like a lot of time that they will ask us to check the user manual."

"Though the courses in the certification's learning hub are great and awesome, there is some more space for adding more explained contents."

"The AA portal should not give us pop-ups every time a bot agent is updated."

"Product support for our customers needs improvement. They should increase the support personnel."

"I need high value products to be created, so I need integration with other solutions. Machine learning and AI need to be integrated with Automation Anywhere. While IQ Bot is a good beginning, our company does not work with manual paperwork since we are already digital. We would like to see more integration with cognitive tools going forward."

"We've struggled with some of the new features Automation Anywhere added in the latest version. For example, they added a new OpenAI package, but it took a while for me to find it in the actions menu."

More Automation Anywhere cons

"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."

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

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

"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."

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

"I have observed that while training Nanonets, we must provide a larger number of examples or documents."

"I think Nanonets can be improved as the pricing seems to be a bit high, which is one of the things they should improve."

Pricing and Cost Advice

"The setup and licensing cost is affordable, and it is not exaggerated like UiPath."

"I am not sure about the costs, but two Bot Runners and four Bot Creators may cost approximately 1CR."

"We were required to purchase licenses and bot runners, which determined the permissible run times for the bots."

"It is reasonable and affordable. If you consider the tasks that we can get done using this, the pricing is reasonable and affordable."

"Automation Anywhere University is pretty good. They make it available free for everyone."

"They all are very competitive today. At the end of the day, it boils down to the negotiations that happen and what type of partner you are."

"The certifications are free of cost."

"We would like them to change the license model of charging per bot."

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."

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which Intelligent Document Processing (IDP) solutions are best for your needs.

See recommendations

902,894 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Construction Company

12%

Manufacturing Company

11%

Computer Software Company

No data available

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

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...

See all answers

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...

See all answers

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.

See all answers

Ask a question

Earn 20 points

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...

See all answers

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...

See all answers

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...

See all answers

Comparisons

UiPath Platform vs Automation Anywhere

Compared 12% 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

Celonis vs Automation Anywhere

Compared 2% of the time

More Automation Anywhere Competitors

OpenText Capture vs Grooper

Compared 100% of the time

More Grooper Competitors

Docsumo vs Nanonets

Compared 23% of the time

Base64.ai vs Nanonets

Compared 21% of the time

UiPath IXP vs Nanonets

Compared 16% of the time

Ephesoft Transact vs Nanonets

Compared 15% of the time

Tungsten TotalAgility vs Nanonets

Compared 10% of the time

More Nanonets 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

Intelligent Document Processing (IDP)

May 2026

Download Nanonets 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

Nanonets

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

Nanonets leverages AI-driven capabilities to automate data extraction and document processing, providing a seamless experience for businesses looking to enhance efficiency and accuracy.

Nanonets is designed for businesses aiming to improve operational efficiency through intelligent document automation. By employing machine learning, it can extract relevant data from scanned documents, forms, and invoices, minimizing manual data entry. Its adaptability allows the handling of diverse document types, making it a versatile choice for enterprises of different scales. Continuous updates and user feedback help in refining features, though there is ongoing room for enhancement, particularly in integration capabilities with third-party services.

What are the key features of Nanonets?

Machine Learning Integration: Adapts and learns from new data to improve accuracy.
Automated Workflow: Streamlines processes from data extraction to final integration.
Cloud-Based Platform: Offers accessibility and scalability for growing businesses.
User-Friendly Dashboard: Simplified navigation for managing tasks efficiently.
Customizable Models: Tailors data extraction models to specific business requirements.

Which benefits and ROI should users consider?

Cost Efficiency: Reduces manual labor, saving both time and workforce expenses.
Increased Accuracy: Decreases errors in data processing through advanced algorithms.
Scalability: Supports business growth with adaptable features and capacity.
Faster Turnaround: Speeds up workflows with automation and real-time data processing.

Nanonets implementation across industries such as finance, logistics, and healthcare demonstrates its adaptability in processing invoices, bills, and patient records, respectively. This empowers sector-specific enhancements by streamlining tasks traditionally handled manually, thereby improving productivity and ensuring compliance standards are met.

Nanonets

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

Intelligent Document Processing (IDP)

May 2026

Download Free Report

Find out what your peers are saying about Automation Anywhere, UiPath, ABBYY and others in Intelligent Document Processing (IDP). Updated: May 2026.

DOWNLOAD NOW

902,894 professionals have used our research since 2012.

See our list of best Intelligent Document Processing (IDP) vendors.

We monitor all Intelligent Document Processing (IDP) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.