We performed a comparison between ABBYY Vantage 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 most valuable feature of ABBYY FlexiCapture is the accuracy of the general extractions."
"Vantage is flexible and customizable. It's a low-code/no-code tool, so you don't need to get into detailed coding. You can also use AI to accomplish medium-complex tasks."
"Compared to other tools, ABBYY Vantage is better because it's very user-friendly."
"The solution's AI technology is genius."
"The solution's technical support is very supportive."
"The solution responds well to automatic document classifications with a 90% success rate."
"While using ABBYY FlexiCapture we did not use the generic models that they do have for invoice and purchase orders. For one of the use-cases, the document was exactly the purchase order, but we are not using that generic model. We are creating the model from Scratch. However, if I was to compare ABBYY FlexiCapture with other IA tools, the machine learning and how the extraction is done is far better than competitors. This allows a lot less effort for the development."
"Its OCR Engine is very successful, and it is the leading OCR Engine. It also has NLP support."
"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."
"It's a platform, not a configured application, so you can do what you want with it."
"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."
"The installation of the solution is very simple."
"I can have all scanners accessible from my end."
"The solution offers many features that are beneficial for customers."
"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."
"The solution automates manual data entry."
"They should improve the RESTful API side of this solution. Currently, fully RESTful API is not available in the on-prem version, which is really a problem, and we have to work around this limitation. The cloud version already has a fully RESTful API, but the on-prem version doesn't have a fully RESTful API, which is a big mistake. It is easy to solve, but they aren't solving it quicker. They are taking a long time. Nowadays, most people don't go to the interface. They like to use RESTful API."
"This solution should have better integration with RPA solutions such as Blue Prism."
"Since we are using a trial version, we don't have administration access to create a tenant to integrate my OCR series with Postman."
"Machine learning needs to be improved."
"Their tutorials are not enough. They can improve the tutorials and maybe add more examples in their tutorials. Currently, if you want to learn ABBYY technology, it is very difficult. There are just a few resources, such as YouTube channels and blogs. There are not many resources for learning ABBYY."
"We would like the workflow building within this solution to be more transparent, which would allow us to model the process."
"Not a ten because sometimes some documents have handwritten data. If this improved, I would rate it a ten out of ten."
"The recognition intelligence could improve by having more details in the documents. There are limitations with the forms, templates, and manuscripts."
"They have to stop focusing on new development and stabilize the latest release. It is not stable."
"The solution's scalability needs improvement."
"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."
"Currently, when you are entering invoices, you have to enter multiple rows. In Captiva the multiple rows will be dynamically added. This would be a beneficial feature for IBM to add."
"I give the scalability of the solution a six out of ten."
"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."
"Datacap's technology seems a little behind the industry. It's still using the old .NET framework. They should move to .NET Core and start integrating some machine learning. You can do some integration yourself, but you expect a solution to include the latest machine-learning approaches if you're paying reasonable money for it."
"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."
ABBYY Vantage is ranked 1st in Intelligent Document Processing (IDP) with 46 reviews while IBM Datacap is ranked 8th in Intelligent Document Processing (IDP) with 26 reviews. ABBYY Vantage is rated 8.0, while IBM Datacap is rated 7.6. The top reviewer of ABBYY Vantage writes "Genius-level AI with very easy setup and implementation processes". 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". ABBYY Vantage is most compared with UiPath Document Understanding, UiPath, HyperScience, Microsoft Power Automate and Hyland Brainware, whereas IBM Datacap is most compared with Tungsten TotalAgility, Microsoft Power Automate, HyperScience, OpenText Intelligent Capture and Hyland OnBase. See our ABBYY Vantage vs. IBM Datacap report.
See our list of best Intelligent Document Processing (IDP) vendors and best Robotic Process Automation (RPA) vendors.
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