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."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."
"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 administration of the application following an error is most valuable. We are able to know easily when something is stuck in the system."
"Very scalable and stable data capture and extraction solution that's very simple to install."
"It's resiliency. There are multiple ways of identifying what you are looking for. There are multiple export formats."
"It reduces human error and saves time."
"There's something that's very unique about IBM DataCap. It provides me with a good solution for extracting, reading the QR codes, and scanning them. In this stage, we are working in a UIT phase before implementing this protocol in all our branches. From my initial observation, IBM DataCap is good, it is not working too fast, but in a good manner for us."
"It is the best solution for scanning purposes."
"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 like Datacap's integration with FileNet because financial companies use that export. The second part is web services integration, which is effortless to implement."
"If Grooper could "sense" important fields on the document and auto-build extractors for them, that'd be really cool."
"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."
"They should have more sub-extractors or exclusion extractors so that the user does not have to make a parent data type."
"Technical support is definitely an area that they need improvement in, in terms of the front-line individuals."
"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."
"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."
"We have page requirements where some values must be copied on each page. For example, say I need to scan a bunch of documents, and the name will be a field on every page. We don't have a default functionality in Datacap to copy the field value on the first page to all the pages. That feature would make the documents easy to prepare."
"They have to stop focusing on new development and stabilize the latest release. It is not stable."
"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."
"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."
"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."
"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."
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, Microsoft Power Automate, Tungsten TotalAgility, 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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