We performed a comparison between IBM Datacap and IQ Bot 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."Both Datacap Studio and Datacap Navigator are great features."
"The second thing that I like about Datacap is the fingerprint capture which is easy to configure on Datacap. From the form of the document, if a document is redundant in the same department, we can configure the capture based on the form of the documents"
"I can have all scanners accessible from my end."
"It is the best solution for scanning purposes."
"The standout feature of this intelligent product is its remarkable capability."
"It is highly extensible, which we found to be most valuable. It is a very extensible solution because it is based on configurable rule sets. We were able to amend and adjust the solution and very easily add custom code and custom components. It does require some programming experience, but we found that not to be an issue. We liked its extensibility."
"The solution offers many features that are beneficial for customers."
"It helps companies figure out how to use advanced imaging techniques, processes, best practices, and other tools."
"I can train all the instances and properly adjust, inject Python code to find entities, and so on, and so forth."
"IQ Bot's best features are its variety of outputs and how it handles structured documents."
"Good templates means that all basics are pre-defined."
"The ability to train itself is a good, valuable feature. It is one of the most stable RPA products at present. Installation is easy for IQ Bot, and they provide good technical support."
"The extraction feature is the most valuable one of IQ Bot."
"It's quite easy to use, you just have to map the filter to keep it going."
"The most valuable feature is the cognitive ability, as it will learn an interface that it is not familiar with and perform in the way that a human does."
"The efficiency with which it was able to categorize the different data types and the format."
"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."
"The IBM Datacap site actually is on the newer inside. They will give it as a plugin only."
"I would like better ease of use and more support options."
"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."
"Going forward, IBM needs to ensure that the output is perfect (as it can make the product) while staying true to platform's core."
"The solution's scalability needs improvement."
"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."
"They have to stop focusing on new development and stabilize the latest release. It is not stable."
"Could improve with regard to hand-written documents."
"We face a few data extraction challenges when we use a huge data set with different formats."
"The price of IQ Bot, packaged with Automation Anywhere, is too expensive for some companies and they will not use it."
"It would be helpful if the solution was better at reading handwriting. It needs better handwriting recognition."
"There should be built-in or native intelligent processing capabilities."
"There's still room for improvement in IQ Bot because sometimes, my team has certain types of PDFs that need to be grouped, for example, five types of videos need to be sorted to get data, but it was impossible to do in the solution. There's even an instance when I'm extracting data, for example, the invoice numbers, and I trained IQ Bot to do the extraction just for the invoice numbers, but it failed to do it. There could be some exceptions that the product developer is working on, but it could take time because sometimes IQ Bot works, and sometimes it doesn't, so the error isn't because of the developer. The error lies with the system. Another area for improvement in the solution is that during installation, it makes your machine drastically slow. It requires you to have RAM of 16 GB and a 500 GB hard disk, but that's still not enough. Slow downloading is also an area for improvement in IQ Bot because whenever you try to execute bots around 20MB to 100MB, for example, that will be downloaded from the cloud to local machines, and this process could take between seven to eight minutes, and this could be frustrating especially when you're trying to showcase it to a customer. Bot downloading into a local machine shouldn't be taking more than five minutes because it's embarrassing in front of clients. It's good that Automation Anywhere provides a cloud version for IQ Bot, but if you're unable to execute it fast, then that's not very good. I was working for one client in Brazil and there was a time I was showing the bot to them and it was taking around seven minutes to get downloaded on the local machine, and I even tried to connect with the support team, but that still didn't get me anywhere. If you're working on some code and you're executing a bot, you need to change one line and the bot will download completely, so it should be pipeline or SVN or Git. If you've downloaded a 50MB bot, you just change one variable name, but then you have to download the 50MB code again, and it makes you wonder why you need to download the complete code. You have to double-check if you already have the code in your folder, and why would you need to download it again. Only one line should be changed for the download time to decrease drastically, but right now, you need to be downloading the code completely, so if you're executing a 100MB bot fifty times, then that means it will be downloaded fifty times as well. IQ Bot is not a straightforward solution, so my team is struggling with it. Currently, my company has been doing some R&D about the solution, and it has several main problems that need to be addressed. What I'd like to see in the next version of the solution is support for unstructured PDFs because currently, it's a very good solution for structured PDFs."
"Lacks sufficient flexibility in identifying a wider variety of documents."
"The solution requires 32GB RAM."
IBM Datacap is ranked 8th in Intelligent Document Processing (IDP) with 26 reviews while IQ Bot is ranked 2nd in Intelligent Document Processing (IDP) with 48 reviews. IBM Datacap is rated 7.6, while IQ Bot is rated 7.6. The top reviewer of IBM Datacap writes "The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature". On the other hand, the top reviewer of IQ Bot writes "User-friendly and code reusability feature for efficient utilization of existing code repositories". IBM Datacap is most compared with ABBYY Vantage, Microsoft Power Automate, Tungsten TotalAgility, HyperScience and OpenText Intelligent Capture, whereas IQ Bot is most compared with ABBYY Vantage and UiPath Document Understanding. See our IBM Datacap vs. IQ Bot report.
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