We performed a comparison between IBM Datacap and Readabl.ai based on real PeerSpot user reviews.
Find out what your peers are saying about ABBYY, Automation Anywhere, UiPath and others in Intelligent Document Processing (IDP)."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."
"Very scalable and stable data capture and extraction solution that's very simple to install."
"The big thing these days is really the Insight Edition component and being able to build annotators to extract from literally unstructured content: paragraphs and information where there's no start anchor point to define where that data is located. There could be a number of entities in that which you have to draw information from. Being able to extract from them is really the differentiator today between that product and many of the other products..."
"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."
"I work for an insurance company, and we use Datacap for document processing."
"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."
"The administration of the application following an error is most valuable. We are able to know easily when something is stuck in the system."
"Within the cloud solution, there are multiple services that can be deployed on a particular cloud and you can interact with those servers at the same time."
"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."
"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."
"I would like to see integration of Watson AI technology into Datacap."
"The IBM Datacap site actually is on the newer inside. They will give it as a plugin only."
"It can take some time to implement."
"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."
"The technical support is horrible. They have downsized the support teams too much. They've outsourced some of them along with some of the development, and they're just stretched too thin."
"They have to stop focusing on new development and stabilize the latest release. It is not stable."
"It would be ideal if they could add support for rare services as well, to make it so that you can get a response both for SOAP and REST services."
Earn 20 points
IBM Datacap is ranked 8th in Intelligent Document Processing (IDP) with 26 reviews while Readabl.ai is ranked 26th in Intelligent Document Processing (IDP). IBM Datacap is rated 7.6, while Readabl.ai is rated 8.0. 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 Readabl.ai writes "Stable and scalable with multiple services available simultaneously". IBM Datacap is most compared with ABBYY Vantage, Microsoft Power Automate, Tungsten TotalAgility, HyperScience and OpenText Intelligent Capture, whereas Readabl.ai is most compared with .
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