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."The standout feature of this intelligent product is its remarkable capability."
"It helps companies figure out how to use advanced imaging techniques, processes, best practices, and other tools."
"At the forefront of my thoughts, the standout feature of this intelligent product is its remarkable capability. This project we're currently engaged in revolves around streamlining workflows within both our company and the customer's company. It entails handling information from various documents with diverse formats and types, even when they contain the same data. The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature. Moreover, leveraging machine learning is crucial since our customer deals with an extensive archive of over five million documents. Machine learning can significantly alleviate the backlog by becoming well-versed in various scenarios they might encounter during their work once we've completed our application."
"Both Datacap Studio and Datacap Navigator are great features."
"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."
"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."
"It reduces human error and saves time."
"The solution automates manual data entry."
"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."
"PDF classification and basic data extraction are useful features."
"It is very easy to set up and use this tool to get information from documents. It can get the information about the purchase order number, average, description of purchase orders in several formats without any problem."
"We have been using it only for two months, and so far, it is working fine. It is easy to use."
"Good templates means that all basics are pre-defined."
"The most valuable feature is the intelligence it has with the ability to read the customer sales order and convert it into our own, despite minor changes in format."
"It's quite easy to use, you just have to map the filter to keep it going."
"IQ Bot is easy to use compared to some of the other solutions out there."
"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."
"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."
"The IBM Datacap site actually is on the newer inside. They will give it as a plugin only."
"Speed of OCR is one issue. It's a challenge because we have customers that have millions and millions of pages that they want this solution to crank through. In order to do that you have to have a large infrastructure in place, and that directly impacts licensing based on the core count."
"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."
"I would like to see integration of Watson AI technology into Datacap."
"They have to stop focusing on new development and stabilize the latest release. It is not stable."
"It can take some time to implement."
"There are issues with the technology identifying a signature."
"Machine learning capabilities would be beneficial to have."
"The product is expensive."
"Could improve with regard to hand-written documents."
"I would like love to see pre-trained models based on industries."
"IQ Bot uses an API OCR engine. At times, they can't accommodate some text in Korean. Also, Korean characters are not cognitive at times."
"The solution did not allow the use of other OCR and their own was not accurate and could improve."
"One of the challenges that we faced was that the Automation Anywhere log files were being created and not cleaned up, which would eventually kill the bot."
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.
See our list of best Intelligent Document Processing (IDP) vendors.
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