IBM Datacap vs Jiffy.ai Automate comparison

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 in this report how the two Robotic Process Automation (RPA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Datacap vs. Jiffy.ai Automate Report (Updated: August 2026).

Buyer's Guide

IBM Datacap vs. Jiffy.ai Automate

August 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

"The core RPA capability is valuable."

"We are automatizing redundant activities, releasing employees to do value-added activities."

"It has allowed us to generate additional revenue without having to hire additional people."

"The tech support for Automation Anywhere has been really good, so far. We haven't had to call them very much, but when we have, we have received a good response."

"Automation Anywhere can easily be adopted and learnt."

"RPA implementation will be always fruitful, and return on investment will be always higher than the input costs."

"The Object Cloning command is the most useful feature. Through the use of this command, between 30% and 40% of the process automation is complete."

"Automation Anywhere is a decent competitor and gives a better solution."

More Automation Anywhere pros

"I work for an insurance company, and we use Datacap for document processing."

"The installation of the solution is very simple."

"I like Datacap's integration with FileNet because financial companies use that export. The second part is web services integration, which is effortless to implement."

"The most valuable features of IBM Datacap is the capturing and recognizing of pages, documents as well as the scanner and barcodes."

"The feedback from our clients that this solution has increased their efficiency and their turnaround time on opening any account for end users, thus attracting more customers."

"An example: In the state of Connecticut, we implemented a solution which was forms based, but inspired by IBM technology, and we were able to eliminate a process which normally took 60 days and cut it down to six hours."

"Datacap has all of the features that we need."

"Very scalable and stable data capture and extraction solution that's very simple to install."

More IBM Datacap pros

"It is a one stop solution for automating process. The modular way that is assigned and works together follows a certain logic, and it encompasses a wide range of processes in a very structured and logical manner."

"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."

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

"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."

"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."

"Its initial setup process was quite efficient."

"Jiffy.ai has really helped us due to its flexibility, and we were even able to go back 20 years and connect these machines to modern systems that we run on, which connects both ends of the technology and completely automates complex, high-volume compliance and reconciliation processes that previously required many people and heavy maintenance."

"We can create almost any type of solution in a very inexpensive way, and in this example, we are actually saving 97 percent of the costs."

More Jiffy.ai Automate pros

Cons

"They want to get more accuracy in handwritten forms, which might take some time."

"More structured and unstructured data collection will be a challenge. While we have the IQ Bot tool, the success rate at the beginning will be lower. It will be around 20 to 30 percent at the start because you need to train the bot at regular intervals. Of course, this depends on the data. This area could use be improvement."

"AI would enable improved automation and faster training times that would be reduced from one month to one week."

"It would be great if video analytics could be brought in as a third-party product integration or on the Automation Anywhere platform. I would like the video analytics to be integrated within the next two years. Right now, most people are using third-party tools. Video can be translated into an image and information can be picked up from that, then translated into meaningful insights to make decisions."

"We have HTML mode and Window mode, but Automation Anywhere is limited in this. It would be better if they were able to provide different specification modes."

"Automation Anywhere has a lot of room for improvement. It is not customer-friendly."

"As a developer, I find Automation Anywhere's bot editor riddled with minor workflow issues that hinder productivity."

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

More Automation Anywhere cons

"I've faced some bugs or issues. They should do deeper testing of the product before releasing it because some of the bugs that I found were a bit simple. I understand that it is a massive product, and some of the functionalities can get overlooked."

"Datacap's technology seems a little behind the industry. It's still using the old .NET framework. They should move to .NET Core and start integrating some machine learning. You can do some integration yourself, but you expect a solution to include the latest machine-learning approaches if you're paying reasonable money for it."

"Third-party integration is slow especially through API calls because if you want to integrate between Datacap and BPM, it can only be done in that direction (and not BPM to Datacap)."

"What could be improved in IBM Datacap from a technical perspective is having everything together all in one place, rather than having several different interfaces. The addition of cloud-based OCR technology would also make this solution better. There's also room for improvement for their technical support."

"If it is registered as a critical issue, we receive a response from IBM after one day which can cause our clients to lose business."

"We had more experience, and we knew a lot more about the product than their first-line support did, and that's a really bad sign."

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

"Reporting and analytics seem to often be something of an afterthought. With Datacap, they've started building out some dashboards, but one thing we hear from our clients a lot is, "Well, gee, we really love reports. What Datacap has is not really helpful. We'd like something better. We'd like more dashboards." That's one area where we've seen some feedback that the product could do better."

More IBM Datacap cons

"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."

"The solution's support services need improvement."

"Initially, in version 3, Jiffy.ai did not have support for containerization. In our environment, we are heavy users of containers and container illustrators. So, the initial deployment option was running based on individual hosts that we deployed in the cloud. That created a singularity in the way that we deployed services in our system."

"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 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."

"I believe this is also being addressed, but a lot of the platform work, as we were putting in new versions or making some updates, was, ironically, very manual. It's improved greatly, but I would imagine that's an area that they're probably still working on, on the backend, to help when it comes to what we need to do for platform support."

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

"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

"Despite being less expensive than UiPath, Automation Anywhere remains cost-prohibitive for many small and medium-sized businesses."

"Based on what I've heard, it's costly, but I don't know much about its pricing."

"The solution's pricing is pretty decent."

"In terms of pricing, it's not at all cheap, and that's a concern. The licensing cost is very high. While I don't know the exact prices of other tools, Microsoft offers the lowest pricing for its RPA platform compared to UiPath and Automation Anywhere."

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

"Our pricing a year ago was $600 per license."

"This is a value for the money product."

"The cost of this solution is a little bit high, but it is worth the price."

More Automation Anywhere pricing and cost advice

"It is an expensive solution."

"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."

"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."

"It varies, and it depends on the client's requirements and negotiations. Nowadays, Datacap is also included in the IBM Cloud Pak for Business Automation."

"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."

"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."

"If you want IBM Datacap on cloud, which is a service run by IBM, the price can be quite expensive, but if you want to just purchase the licenses and own those yourself, then the price is very competitive."

More IBM Datacap pricing and cost advice

"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."

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

"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 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."

"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."

"The solution's price is reasonable."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

11%

Construction Company

11%

Outsourcing Company

11%

Financial Services Firm

15%

Manufacturing Company

Government

Outsourcing Company

Construction Company

15%

Comms Service Provider

13%

Performing Arts

Outsourcing 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

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

August 2026

Download Automation Anywhere product report

Buyer's Guide

IBM Datacap

August 2026

Download IBM Datacap product report

Buyer's Guide

Jiffy.ai Automate

August 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

IBM Datacap vs. Jiffy.ai Automate

August 2026

Free Report: IBM Datacap vs. Jiffy.ai Automate

Find out what your peers are saying about IBM Datacap vs. Jiffy.ai Automate and other solutions. Updated: August 2026.

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