Grooper vs Nanonets comparison

BIS and Nanonets are both solutions in the Intelligent Document Processing (IDP) category. BIS is ranked #24, while Nanonets is ranked #12 with an average rating of 8.3. BIS holds a 1.1% 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 in this report how the two Intelligent Document Processing (IDP) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Grooper vs. Nanonets Report (Updated: July 2026).

Buyer's Guide

Grooper vs. Nanonets

July 2026

Download the complete report

Helped 909,725 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 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 Grooper is 1.1%, up from 0.5% compared to the previous year. The mindshare of Nanonets is 1.7%, down from 1.8% 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	1.1%
Other	93.8%

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

reviewer2855805

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.

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

"The solution has helped us increase productivity."

"This is a great platform, and we are implementing the logic into the bots that they are using to automate."

"It most benefitted us in converting daily routine tasks into automated processes at minimal cost with available infrastructure."

"So far, we have seen that a valuable feature of Automation Anywhere is the ease of integrating it with multiple systems. It can very easily integrate with an environment of an organization. It helps in a quick go to access and implementation. You don't have to spend days implementing Automation Anywhere software. You can quickly go drag and drop and do an ease of configuration. You can actually get your bot up and running very fast, which is one important advantage."

"Automation Anywhere has helped our customers' organizations speed up their processes and reduce the workload for their staff."

"The character extraction capability of IQ Bot is much, much better than the other OCR (Optical Character Recognition) engines that you have in the market today."

"The ROI is very good because the output is very accurate and the speed is very fast."

"The MetaBot is a very good feature that allows me to do things that were not available in earlier versions."

More Automation Anywhere pros

"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."

"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."

"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."

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

"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."

"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."

Cons

"Version 11 is a bit heavy. At times, it takes a toll on the computing resources."

"When it comes to Citrix automation, AA should improve or add more features in such a way that all the commands should work when automating a Citrix application."

"The cost of this solution can be improved."

"We had several issues when trying to connect the different components, due to our firewalls. They were eventually solved by our internal IT and the AA technical team."

"The accuracy in Web Recorder needs to be improved, defective outputs found most of the time (not sure if is a website side issue)."

"The vendor should increase the training and other engagements with users before they acquire the platform, as this will simplify its usage further and ensure that there no hindrances in using the platform."

"There are improvements needed in error handling processes, as currently, they rely on start and end error commands."

"Integration with other platforms may prove to be very interesting for us and others."

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."

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

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

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

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

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

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

"Nanonets can be improved with a larger number of samples and test scenarios."

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

Pricing and Cost Advice

"The current pricing for Automation Anywhere seems a little higher compared to competitors Power Automate or UiPath. Automation Anywhere is perceived as pricey due to the support model charges ranging from 20% to 30% based on the plans."

"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."

"Cost-wise, it is fine. A lot of medium businesses prefer Automation Anywhere. The development cost is also lower."

"As far as costs, it depends on your use. We started with a basic department pack, which is over 10K. The additional costs depend on the scale of the engagement and how it pans out. We customize to our needs on the go."

"Automation Anywhere is expensive, making it suitable only for enterprise organizations."

"The cost can be reduced a little for users."

"The cost for scalability is much cheaper than developing a new system."

"The pricing for Automation Anywhere is reasonable."

More Automation Anywhere pricing and cost advice

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

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

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

909,725 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

11%

Construction Company

11%

Outsourcing Company

10%

No data available

Construction Company

18%

Financial Services Firm

16%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	157
Midsize Enterprise	82
Large Enterprise	558

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?

Nanonets can be improved with a larger number of samples and test scenarios. I would suggest training Nanonets simila...

See all answers

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 ...

See all answers

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...

See all answers

Comparisons

UiPath Platform vs Automation Anywhere

Compared 12% of the time

Microsoft Power Automate vs Automation Anywhere

Compared 9% of the time

Blue Prism vs Automation Anywhere

Compared 6% of the time

AutomationEdge vs Automation Anywhere

Compared 3% of the time

WorkFusion vs Automation Anywhere

Compared 2% of the time

More Automation Anywhere Competitors

OpenText Capture vs Grooper

Compared 49% of the time

IBM Datacap vs Grooper

Compared 32% of the time

UiPath IXP vs Grooper

Compared 19% of the time

More Grooper Competitors

Docsumo vs Nanonets

Compared 22% of the time

Base64.ai vs Nanonets

Compared 21% of the time

UiPath IXP vs Nanonets

Compared 19% of the time

Ephesoft Transact vs Nanonets

Compared 13% of the time

ABBYY Vantage vs Nanonets

Compared 9% of the time

More Nanonets Competitors

Product Reports

Buyer's Guide

Automation Anywhere

August 2026

Download Automation Anywhere product report

Buyer's Guide

Grooper

August 2026

Download Grooper product report

Buyer's Guide

Intelligent Document Processing (IDP)

August 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 is an AI-native intelligent document processing (IDP) and data integration platform built by BIS, a company that has worked the industry's hardest document and data problems for 40 years, self-funded since 1986.

Grooper combines patented image processing and multi-engine OCR with LLM-powered extraction (AI Extract, AI Table Reader, AI Collection Reader), classifying documents and extracting data in context, including handwriting, complex tables, and decades-old archives, without brittle templates. AI Assistants let teams chat with documents and databases through retrieval-augmented generation, with source citations.

A no-code/low-code designer serves business users and developers, and native connectors integrate with ECM systems, databases, email, SharePoint, Box, and CMIS repositories. Grooper deploys on-premises or in the cloud, keeping sensitive data inside your infrastructure, and is developed and supported entirely in the USA.

Organizations in government, healthcare, financial services, retail, oil & gas, and higher education use Grooper for results like 6x faster claims processing, 81% reductions in manual AP data entry, and 50x faster transcript processing.

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

S&P Global, Sally Beauty, Rent-A-Center, Bimbo Bakeries, Devon Energy, Empire Southwest, California Resources Corporation, Continental Resources, California Dept of Tax and Fee Administration, Chevron, Funeral Director's Life, Fair Food Network, Wings Credit Union, Del Norte Credit Union, Oklahoma Dept of Transportation, Mercy Hospital System, OLERS, Oklahoma State University, Change Healthcare, U.S. Nuclear Regulatory Commission, American Airlines Credit Union, and many others.

Information Not Available

Buyer's Guide

Grooper vs. Nanonets

July 2026

Free Report: Grooper vs. Nanonets

Find out what your peers are saying about Grooper vs. Nanonets and other solutions. Updated: July 2026.

DOWNLOAD NOW

909,725 professionals have used our research since 2012.

See our Grooper vs. Nanonets report.

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.