We performed a comparison between IBM Datacap and SAP Intelligent RPA 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."Very scalable and stable data capture and extraction solution that's very simple to install."
"It reduces human error and saves time."
"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 work for an insurance company, and we use Datacap for document processing."
"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."
"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."
"It is the best solution for scanning purposes."
"Scalability is fine. It is pretty nice."
"The initial setup of SAP Contextor is easy."
"The standout features of SAP Intelligent RPA are its flexibility and integration capabilities."
"It is remarkably easy to configure and code, and it doesn't require an extensive technical background or coding expertise."
"Most of the details are already in the help portal and SAP notes are available. It is well documented as part of the product support."
"The most valuable feature of SAP Contextor is that everyone is in one place in the program that I need."
"Contextor is a good solution for a Citrix environment. It's the first with this tool. Other tools provide the same functionality, but not with the Citrix environment."
"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."
"Recognition between certain numbers and letters could be improved. Sometimes this solution misreads five with an "S" for Singapore."
"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 give the scalability of the solution a six out of ten."
"The reading efficiency of the solution needs to be improved."
"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."
"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."
"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."
"There should be more of an error, like a proper error feature, in future releases. Sometimes, we don't understand why that automation is not learning what, like, where it is stuck, or what is the reason like, or what is the criteria we are missing to add. So a proper error message would be helpful."
"For potential features or improvements, one aspect I would suggest enhancing is the flexibility of the extraction process."
"SAP Contextor could improve by automating some processes."
"The initial setup is of medium complexity. It is neither too hard nor too simple. You need some background in SAP and an understanding of it."
"One way SAP Intelligent RPA could improve is by integrating built-in DI services for document processing."
"I found that the SAP scripting of a program is easier than SAP Contextor."
"I would like to see a better capacity for unstructured data, for example, PDF, or text within images."
IBM Datacap is ranked 8th in Intelligent Document Processing (IDP) with 26 reviews while SAP Intelligent RPA is ranked 17th in Robotic Process Automation (RPA) with 7 reviews. IBM Datacap is rated 7.6, while SAP Intelligent RPA is rated 7.2. 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 SAP Intelligent RPA writes "Enhanced streamlining and optimization of the business processes with reduced operational costs, improved data accuracy, and increased overall productivity". IBM Datacap is most compared with ABBYY Vantage, Microsoft Power Automate, Tungsten TotalAgility, HyperScience and OpenText Intelligent Capture, whereas SAP Intelligent RPA is most compared with UiPath, Automation Anywhere (AA), Microsoft Power Automate, Blue Prism Cloud and ABBYY Vantage. See our IBM Datacap vs. SAP Intelligent RPA report.
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