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 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."
"The standout feature of this intelligent product is its remarkable capability."
"The administration of the application following an error is most valuable. We are able to know easily when something is stuck in the system."
"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."
"The installation of the solution is very simple."
"It's a platform, not a configured application, so you can do what you want with it."
"It is very easy to develop this software. It is low code, and if you can't find the things you need on it, you can develop custom actions with more complex code underneath. They sync well, which is very useful for automating a lot of processes. It is a really valuable feature for the clients because we can ingest information and automate plenty of processes for them. The operators don't have to waste that much time on tasks. With Datacap, they can be automated."
"The most valuable features of IBM Datacap is the capturing and recognizing of pages, documents as well as the scanner and barcodes."
"The most valuable feature is the ease of use and the new feature that makes it possible to integrate the platform with Google."
"The best feature is that we can extract data from an image. That's why Automation Anywhere implemented IQ Bot. Otherwise, you cannot extract data from an image. Nowadays, every industry is scanning invoices and uploading them to some website or storing them on some shared drive. IQ Bot can do data extraction from the PDF format and the JPG format."
"IQ Bot is easy to use compared to some of the other solutions out there."
"Training the model is very simple with IQ Bot's technology. It requires providing several examples of the type of document you want to evaluate. IQ Bot already has a built-in taxonomy, which is like a dictionary of elements commonly found in certain types of documents. For example, when evaluating an invoice, you will find elements, such as "total," "item descriptions," and "shipped to." This pre-existing taxonomy greatly speeds up the training process as it provides a starting point and structure, rather than starting from scratch."
"The initial setup is easy."
"The ability to differentiate between documents is valuable."
"The character recognition feature is very good."
"The detection or extraction of data from the images in PDFs is the feature that I use the most. It is a good solution in terms of how easily you can administer or manage this tool. It is quite easy to use, and it is powerful in terms of what it can do."
"The user interfaces for exception processing can be tweaked. I commonly find that we try to tweak and customize some of those components to more of what the industry standard is. The product is still trying to play catch-up a little bit in those areas."
"When I scan a document in Datacap that has a watermark or the document is a little distorted, the image output is poor. It either becomes completely black, or there is so much distortion that we cannot read the numbers or the addresses mentioned in the POD. When we scan a document, we expect the output to be at least 95 percent accurate."
"One of the things that we wished for was to have an easier way to carry out the customizations. Currently, if you want to customize data, you need to have a developer with C# knowledge. If IBM could implement a no-code or low-code platform for Datacap, it would be easier to adjust it without needing a developer, which was always the most difficult part."
"Currently, when you are entering invoices, you have to enter multiple rows. In Captiva the multiple rows will be dynamically added. This would be a beneficial feature for IBM to add."
"The solution's scalability needs improvement."
"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. Expertise in this specific product is rare throughout the market. One key reason is the product's limited downloads. Additionally, archiving solutions are often perceived as complex and challenging, dissuading many companies from venturing into this domain. Consequently, partners who specialize in archiving solutions are always seeking straightforward, uncomplicated options that are easy to manage and meet customer expectations."
"Third-party integration could be improved; it's very slow."
"Datacap has performance issues when processing large volumes of documents. We're doing 18,000 pages daily. Scanning takes almost 20-30 minutes, but it normally takes one or two minutes. We informed IBM and opened a ticket for that. They forwarded the issue to developers but didn't give a specific timeline for it to be resolved. Version 8.1 is already at the end of support."
"Machine learning capabilities would be beneficial to have."
"The process of manually correcting the data in the validation queue that IQ Bot failed to extract should be automated."
"The price of IQ Bot, packaged with Automation Anywhere, is too expensive for some companies and they will not use it."
"I would like love to see pre-trained models based on industries."
"IQ Bot needs to scale up further because many other industry products that are capable of capturing handwritten information are doing much better. So, it would be better if IQ Bot spent more time on handwritten data extraction."
"The solution did not allow the use of other OCR and their own was not accurate and could improve."
"It would be good if the solution could extract or capture details from unstructured data."
"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."
IBM Datacap is ranked 8th in Intelligent Document Processing (IDP) with 26 reviews while IQ Bot is ranked 3rd 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, Tungsten TotalAgility, Microsoft Power Automate, 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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