IBM Datacap vs Jiffy.ai Automate comparison

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IBM and JIFFY.ai are both solutions in the Robotic Process Automation (RPA) category. Additionally, 89% of IBM users are willing to recommend the solution, compared to 88% of JIFFY.ai users who would recommend it.

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Executive Summary

We performed a comparison between IBM Datacap and Jiffy.ai Automate based on real PeerSpot user reviews.

Find out what your peers are saying about UiPath, Automation Anywhere, Microsoft and others in Robotic Process Automation (RPA).

To learn more, read our detailed Robotic Process Automation (RPA) Report (Updated: October 2026).

Buyer's Guide

Robotic Process Automation (RPA)

October 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

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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DeekshithShetty

Software Development Senior Specialist at a tech vendor with 10,001+ employees

High-accuracy document processing with easy integration and good image enhancement

The OCR extractions are very good, almost 100% accurate now. The integration with other tools is very easy, with inbuilt actions to configure and directly export to multiple depositories. It is also good at image enhancement, including the removal of lines, which is helpful in processing and automation and ensures very little user intervention, thus saving time.

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reviewer1220142

National Professional Officer at a international affairs institute with 5,001-10,000 employees

Reliable product with an efficient initial setup process

We use the solution to upload and download the documents The solution's support services need improvement. We have been using the solution for five years. The solution is stable. Although, we encounter hardware and connection issues while updating the system. After the downtime, it is…

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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

"Tasks or activities that were taking almost six hours a day have been reduced drastically to 30 minutes, which saves time as well as business costs."

"Automation Anywhere is very easy to handle because it is a low-code platform, so anyone can learn very quickly."

"I utilize all the commands provided by Automation Anywhere, such as all the recorders. I use these commands to develop my processes and bots."

"One very useful feature is the IQ Bot, which is helpful in the operation of the data input process to all of their applications."

"We are making less mistakes and have more metrics available to understand what our problems are. Now, we can do root cause analysis and have less noise in the system during the process."

"Automation Anywhere is very easy to use; it's a low-code platform that a person who doesn't have any technical knowledge can use."

"The Control Room is the most important feature, where we can manage the bots and publish to various bot runners in the environment."

"The ease of use for the end user and the very low complexity in trying to build a bot are the big factors for us. We are able to work on a project, identify a use case, come up with a design spec, and execute and build a bot within a span of six to eight weeks. In nine to ten weeks, we are able to go live, which reduced complexity. Once we go live, the user interface and the user experience are extremely good."

More Automation Anywhere pros

"The most valuable feature is its ability to capture data, which changes all the time into different formats."

"Our clients have significantly improved efficiencies when opening accounts for end users."

"It's resiliency, with multiple ways of identifying what you are looking for and multiple export formats, and it's a platform, not a configured application, so you can do what you want with it."

"The installation of the solution is very simple."

"One of the valuable features of Datacap is the user experience. One thing that IBM did a few years ago was they standardized all of their ECM products on Content Navigator, including Datacap. If you're an IBM ECM customer you have FileNet, you have Datacap, you have StoredIQ and you have a consistent user experience, user interface."

"Datacap is good at processing unstructured data. You can build up some nice data flows, and it is simple to configure. The tool adopts a low-code approach, but you can do a lot of coding if you want to customize and automate your flows. Datacap also has the flexibility to integrate."

"While we are doing indexing, we tag the document type. It's programmed inside of Datacap to automatically detect the document based on a given template. It auto-indexes that document, which means that it automatically tags the correct document type to the scanned document."

"This tool can be easily integrated with the Amazon Web Services, Microsoft Azure, or IBM cloud."

More IBM Datacap pros

"Its initial setup process was quite efficient."

"With the customization option, we can write custom expressions using its compatibility with Python or other programming languages."

"It removes the burden of having to do some tasks manually. However, we are just using it in production for a single project. It saves us a lot of time in terms of extracting that information. So far, it has made a big impact."

"It has saved us hundreds of hours per month and has covered the work of two or three full-time operators."

"In terms of the processing of the transaction, Jiffy.ai Automate scores monthly between a 95 to 98 percent success rate for all transactions."

"Overall, it's a good application to start your RPA journey with."

"Previously, it used to be a completely manual process where we used to have around 16 people looking at the invoices and typing in the data, and now that we have put in a bot, this process is completely centralized and we now have just two people who look at the exceptions."

"The biggest driver was the cost savings. We wanted to improve productivity and save costs. Therefore, we gave most of the mundane tasks currently being done by a human to a bot. Some of the mundane tasks were reading invoices and keying in the data. We are talking about 15,000 documents every day. That is a huge volume that needs a lot of people. With the bot, it is just a fraction of the cost, because there is a huge savings in terms of manpower."

More Jiffy.ai Automate pros

Cons

"I'd like to see the stabilization of Co-Pilot and integration with multiple products... In the future, I will require integration with SAP Oracle, Atlassian, and Service Now. The contact center vertical is important..."

"I'd like to see the OCR feature be perfected. Today we get an accuracy ratio from OCR of around 40 percent to 50 percent only."

"The UI can be improved a little bit to make it easier for beginners to understand."

"The main problem that I have with Automation Anywhere is the support. When I have problems that I cannot solve by myself, it is hard to achieve a good result with support. Language is another issue."

"We have encountered some issues in the actions like Terminal Emulator-> Send Key -> Page Down/Up not working."

"Attended automation sometimes might go into exceptions, thus we need to monitor it in-between, then check whether it is working properly. This way, we ensure the bot is working properly."

"In A2019 the dependencies that are being downloaded take a longer time that should be reduced. Migration utility should be provided so we can easily migrate from lower versions to higher versions."

"Regarding the pricing, I think it's high, and it's the same for the setup cost and licensing."

More Automation Anywhere cons

"The Arabic OCR in IBM DataCap is not accurate forcing us to use other solutions that have better Arabic OCR which is an additional cost."

"Recognition between certain numbers and letters could be improved. Sometimes this solution misreads five with an "S" for Singapore."

"It can take some time to implement."

"We used an integrator for the deployment, and our experience was very bad. They gave us an unreliable, broken solution which did not work, then they would not work with us."

"Its weaknesses are primarily tied to the lack of available resources and expertise in the market to effectively support and provide solutions and services to each customer for seamless implementation."

"I would like to see the product have the ability to process more documents in parallel. Right now, it is a single queue. Therefore, if you want to really test the load and stress test it, having multiple instances and the ability to scale it up would be great."

"I would like to see integration of Watson AI technology into Datacap."

"There should be an increase in the capacity of the workflows. Datacap is a little limited in this aspect. So, you cannot really implement all the possibilities."

More IBM Datacap cons

"The UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."

"The setup process could definitely be better."

"They are still new in the market. Or, at least, they are still a small player. They require a lot of improvement in terms of learning material as well as the community developers. If you compare Jiffy.ai to an established solution, like UiPath, you can go to YouTube and find a lot of learning material posted by UiPath, partners, and other people in the community. However, for Jiffy.ai, you won't find that available in the market. Because of this it is very hard for us to find talent in the market. Most of the developers in the market are used to the bigger players. For Jiffy.ai, if you search a resume because you are trying to find someone who has used Jiffy.ai, you won't be able to find it. So, when we onboard a new person, we want them to learn this new system, but it is a bit hard for them to pick up because there are no external learning materials on the Internet."

"The solution's support services need improvement."

"The solution has just not closed the gap of being accessible to non-IT users. If you are a non-IT person, then this all looks like gobbledygook. Maybe that is something that can be improved upon."

"Initially, in version 3, Jiffy.ai did not have support for containerization."

"They are still new in the market. Or, at least, they are still a small player. They require a lot of improvement in terms of learning material as well as the community developers."

"When using UiPath automation, we could just Google issues if we were stuck with something. In the initial days with Jiffy.ai, we could not get that type of information from Google because there wasn't much of a community."

More Jiffy.ai Automate cons

Pricing and Cost Advice

"As our team size increases, we may get some more licenses for the tool."

"The licensing cost is approximately $4,000 USD, which is a seed license."

"Licensing costs range from $50,000 to $200,000."

"If we count the integrations that we have done with Appian, which is where a lot of our savings is from, we are well over a million dollars in savings. This is from only doing development for about a year and a half."

"I have heard that Automation Anywhere is expensive."

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

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

"The cost is at the highest end of the spectrum."

More Automation Anywhere pricing and cost advice

"This solution is the most expensive in the market."

"We were using the User Value Unit licensing, which means we get charged per active user of the system, and if I'm not mistaken, we also had it for the rule runner service. They had a PVU license model, which is a processor value unit. For each process that we have in our system, we pay a certain amount of money. We found the pricing to be quite steep. It was really an expensive solution in comparison to Kofax, which had a different licensing model and was actually cheaper overall because they charge per page and not per user and per process."

"Pricing depends on how much we use it. We pay per bulk quantity. We pay as you go. Therefore, it sort of depends on our usage of it."

"It is an expensive solution."

"This solution offers seamless integration with other enterprise products, which is my area of responsibility, focusing on government sector projects. Larger enterprise projects don't pose problems. It might be suitable for small businesses as well."

"Pricing needs to stay competitive."

"In Egypt, we have exchange rates that change year to year, and currently, we're facing an increase in the exchange rate between our Egyptian pound and the dollar. Since we have been using IBM DataCap two years ago we had a good price, it was not expensive. However, I cannot say now if it is expensive or not because of the exchange rate. Additionally, I don't have the data of other competitors and I don't know the prices."

"IBM could offer more competitive pricing. This would allow them to attain more users. Some of our clients are considering moving to a different solution called Encapture which is similar but offers more competitive pricing."

More IBM Datacap pricing and cost advice

"If cost is of concern, then start with Jiffy. If cost is not your main concern there are a few premium products out there, but they come with a huge price tag."

"The licensing is not expensive; it is quite cheap. The expensive part is to support and maintain it. Understandably, we engage them to do a lot of work that could have been done by our own staff, if we had an RPA team. I wouldn't hold that against them. It is just that the cost of support is on the higher side for us."

"Its license is yearly. There are no additional costs to the standard fee. It is a standard license."

"The pricing is quite competitive. As a small player in the market, they are quite aggressive in their pricing. With the features that they offer, it is quite worth the value."

"I like that it is very cost-efficient."

"The pricing and license make sense. They have a model based on the concurrency of the workforce, which is very suitable in our case. The savings are great on the licensing cost."

"The solution's price is reasonable."

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915,341 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Outsourcing Company

15%

Financial Services Firm

12%

Manufacturing Company

11%

Comms Service Provider

11%

Financial Services Firm

14%

Manufacturing Company

12%

Outsourcing Company

Government

Construction Company

14%

Outsourcing Company

13%

Comms Service Provider

13%

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	161
Midsize Enterprise	85
Large Enterprise	561

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	4
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	5

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.

See all answers

What is your experience regarding pricing and costs for IBM Datacap?

Pricing is in the mid-range but could be more affordable, rated at four point five.

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What needs improvement with IBM Datacap?

IBM needs to improve on scanning and reading accuracy for unstructured documents. Additionally, an important missing ...

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What is your primary use case for IBM Datacap?

I primarily use IBM Datacap ( /products/ibm-datacap-reviews ) for data capture and scanning documents with OCR. Speci...

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Product Reports

Buyer's Guide

Automation Anywhere

October 2026

Download Automation Anywhere product report

Buyer's Guide

IBM Datacap

September 2026

Download IBM Datacap product report

Buyer's Guide

Jiffy.ai Automate

September 2026

Download Jiffy.ai Automate product report

Also Known As

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

Datacap

No data available

Interactive Demo

Automation Anywhere

Demo not available

IBM

Demo not available

JIFFY.ai

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

IBM Datacap offers advanced OCR capabilities, auto-indexing, and integration with FileNet and web services to efficiently manage structured and unstructured data. It supports machine learning, low-code development, and streamlined workflows for improved operational efficiency.

IBM Datacap captures and processes different data types, providing extensibility and scalability for organizations aiming to enhance their document management processes. It integrates seamlessly with IBM FileNet and other platforms, while offering features like fingerprint recognition and image enhancement. Users benefit from reduced manual tasks and errors through its automated workflows. However, challenges include recognition accuracy improvements, faster scanning, and a shift towards cloud infrastructure. Third-party integrations and support services need enhancement, while increasing customization and support for the Arabic language remains essential. Enhancements in reporting, automation, and AI integration are priority improvement areas.

What features make IBM Datacap stand out?

OCR Capability: Robust text recognition for data extraction.
Auto-Indexing: Efficient categorization and data management.
Seamless Integration: Compatible with FileNet and web services.
Machine Learning: Supports intelligent data processing.
Low-Code Development: Simplifies adding custom features.

What benefits do users see with IBM Datacap?

Efficiency: Reduces manual tasks and errors.
Scalability: Adapts to organizational growth.
Extensibility: Easy to expand and customize features.
Streamlined Workflows: Facilitates smooth operations.

IBM Datacap supports industries such as insurance, banking, government services, and trade finance by digitizing and automating document capture processes. By integrating OCR-based data extraction and cloud services, organizations enhance efficiency and data management across various applications.

IBM

Jiffy.ai Automate offers an agile app-based approach to streamline complex business processes, seamlessly integrating applications while providing accessibility for non-technical users through a powerful workflow engine.

Jiffy.ai Automate leverages a configurable workflow engine and scriptable solutions to automate complex processes, integrating multiple applications with ease. Its innovative interface enables non-technical users to navigate and utilize functionalities efficiently. The addition of computer vision technology provides significant time-saving benefits, particularly in finance and invoice data extraction tasks. Compatibility with Python and straightforward API integration allow for extensive customization. Despite its capabilities, some users report limited support services and training resources, and note areas for UI and UX refinement to enhance accessibility. Though containerization and functionality have seen improvements, there's room for further development in comprehensive automation.

What are the standout features of Jiffy.ai Automate?

Powerful Workflow Engine: Easy configuration and scripting for efficient automation.
App-Based Approach: Integrates multiple applications for complex process automation.
Computer Vision Capabilities: Enhances finance processes and invoice data extraction.
Python Compatibility: Facilitates extensive customization options.
API Integration: Simplifies connection with existing infrastructure.

What benefits and ROI should you consider?

Increased Efficiency: Streamline processes to save time and resources.
Accessibility: User-friendly interface for non-tech users enhances usability.
Customization Options: Python and API integration allow tailored solutions.
Infrastructure Integration: Smooth integration with existing systems reduces deployment time.

In industries such as finance and supply chain, Jiffy.ai Automate is utilized for automating Windows applications, document processing, and finance operations. It's deployed on virtual servers for tasks like desktop automation, OCR, procurement, payroll, invoice scanning, and document attestations. Organizations use it for accounts payable and receivable operations, incorporating both on-premises and cloud solutions to optimize processes like bank conflation, WPS, and HR document management.

JIFFY.ai

Sample Customers

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

Turkcell, PowerSouth Energy Cooperative, Central Nacional Unimed, Conqord Oil

Southwest Airlines

Buyer's Guide

Robotic Process Automation (RPA)

October 2026

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