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)."The solution automates manual data entry."
"Very scalable and stable data capture and extraction solution that's very simple to install."
"I like Datacap's integration with FileNet because financial companies use that export. The second part is web services integration, which is effortless to implement."
"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 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..."
"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."
"The solution offers many features that are beneficial for customers."
"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"
"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."
"Reporting and analytics seem to often be something of an afterthought. With Datacap, they've started building out some dashboards, but one thing we hear from our clients a lot is, "Well, gee, we really love reports. What Datacap has is not really helpful. We'd like something better. We'd like more dashboards." That's one area where we've seen some feedback that the product could do better."
"The interface can be more intuitive."
"They have to stop focusing on new development and stabilize the latest release. It is not stable."
"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."
"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."
"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 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 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."
"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 6th in Intelligent Document Processing (IDP) with 26 reviews while Readabl.ai is ranked 25th 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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