We performed a comparison between Grooper and IBM Datacap 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."There are many options and customizations that you can make to each individual extractor that allows you to tweak it for exactly what you need."
"Lexicons where the key vocabulary can be inputted it is very helpful."
"The user interface is easy to use, and the flexibility is noteworthy."
"Grooper processes difficult sorts of data and unstructured or semi-structured content very well. It's probably one of the better solutions I've seen compared to other solutions I've seen out there. It does a lot more things like segmentation extraction. It does it a lot better. Grooper has more focus on these types of freeform documents where other solutions are very generic and this is a little more elaborate in what they've done. I think they take it to the next level of extracting freeform data."
"It's a platform, not a configured application, so you can do what you want with it."
"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."
"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 feature is its ability to capture data, which changes all the time into different formats."
"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."
"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."
"If Grooper could "sense" important fields on the document and auto-build extractors for them, that'd be really cool."
"Technical support is definitely an area that they need improvement in, in terms of the front-line individuals."
"They should have more sub-extractors or exclusion extractors so that the user does not have to make a parent data type."
"Grooper is new. It's new beta stuff, so we've had some issues, but that's understandable. Getting the beta product to more of a true release is where it needs improvement. I'm going through training now, so it's hard to judge what they have and don't have until I get through that training. Training is the main thing for me because I'm trying to learn and take things I've learned from other products and try to transfer that knowledge to this one."
"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."
"The IBM Datacap site actually is on the newer inside. They will give it as a plugin only."
"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."
"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."
"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."
"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."
"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."
"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."
Earn 20 points
Grooper is ranked 21st in Intelligent Document Processing (IDP) while IBM Datacap is ranked 8th in Intelligent Document Processing (IDP) with 26 reviews. Grooper is rated 8.6, while IBM Datacap is rated 7.6. The top reviewer of Grooper writes "Good data ingestion and classification capabilities, supports various media types and formats, and the interface is easy to use". On the other hand, 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". Grooper is most compared with , whereas IBM Datacap is most compared with ABBYY Vantage, Tungsten TotalAgility, Microsoft Power Automate, HyperScience and OpenText Intelligent Capture. See our Grooper vs. IBM Datacap report.
See our list of best Intelligent Document Processing (IDP) vendors.
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