We performed a comparison between HyperScience 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."Has algorithms that can detect a document template even if the image has a lot of distortions."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"We have seen pretty good accuracy."
"One of the most valuable features of HyperScience is the user-training module. Whenever the extraction takes place, based on the way we have trained HyperScience, it would give us some success status or a certain confidence level. If the solution has processed something that it determined was not extracted correctly it will queue those items for manual review."
"It provides the best accuracy for handwritten forms, which is a struggle in the industry. You can take processes with a lot of manual work and streamline them through this tool."
"The standout feature of this intelligent product is its remarkable capability."
"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."
"The most valuable features of IBM Datacap is the capturing and recognizing of pages, documents as well as the scanner and barcodes."
"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 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."
"It is the best solution for scanning purposes."
"It is highly extensible, which we found to be most valuable. It is a very extensible solution because it is based on configurable rule sets. We were able to amend and adjust the solution and very easily add custom code and custom components. It does require some programming experience, but we found that not to be an issue. We liked its extensibility."
"The product's usability could be better. The first pain point is that we're getting the output in a different format, and we were expecting a different timetable. The second point is that if you want better results, HyperScience says you have to configure a minimal PDF or a maximum of 400 PDFs. If you want results with 400 PDFs for what's written by these doctors, then you also configure the maximum of 400 templates for that. So, it's essentially a lack of support from HyperScience. In the next release, it would be better if failure scenarios were reduced. It would also help if they offered different formats, inputs or injections, and added different scenarios."
"The solution lacks support for a greater range of languages."
"HyperScience has less capability while working on unstructured forms. Unstructured forms are those where there is no standard structure and the information can be anywhere on the form. They need to develop this capability."
"They could work on the price and make it a bit more reasonable."
"Extracting tables from certain documents could be improved."
"No solution is perfect and there are several different scenarios that could be improved in HyperScience. One area is where there are multiple tables in the same form I have seen HyperScience struggle. There is some issue with supporting the extraction from multiple tables involved on the same form. If this could improve, it would be a big benefit."
"HyperScience could improve the unstructured data extraction feature."
"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'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."
"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."
"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."
"The IBM Datacap site actually is on the newer inside. They will give it as a plugin only."
"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."
"The solution's scalability needs improvement."
"I would like to see integration of Watson AI technology into Datacap."
HyperScience is ranked 5th in Intelligent Document Processing (IDP) with 7 reviews while IBM Datacap is ranked 6th in Intelligent Document Processing (IDP) with 26 reviews. HyperScience is rated 7.6, while IBM Datacap is rated 7.6. The top reviewer of HyperScience writes "It has a lot of functionality, whatever we use, but a few things could be improved". 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". HyperScience is most compared with ABBYY Vantage, UiPath, Instabase, Microsoft Power Automate and OpenText Intelligent Capture, whereas IBM Datacap is most compared with ABBYY Vantage, Microsoft Power Automate, Tungsten TotalAgility, OpenText Intelligent Capture and Hyland OnBase. See our HyperScience vs. IBM Datacap report.
See our list of best Intelligent Document Processing (IDP) vendors.
We monitor all Intelligent Document Processing (IDP) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
