We performed a comparison between ABBYY Vantage and HyperScience 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."It's easy to use."
"The most valuable feature of ABBYY FlexiCapture is the accuracy of the general extractions."
"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."
"The most valuable feature is the ability to capture data from documents with different formats."
"We can quickly integrate the catalogs with proper documentation."
"It's a very useful and user-friendly product."
"We like the fact that this solution is enterprise-ready, so it can be deployed on-premises, scale it, etc."
"I like the flexibility of the layout. For example, for the documents that we're using, this is the main feature that is very useful and makes it flexible for extraction."
"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"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."
"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."
"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."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"It's important to incorporate image detection for signatures or other handwriting elements."
"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."
"It could be more intuitive. It's huge and has many options, and that makes it difficult. You have to go to Google and search for documents and videos to try and understand how it works. Some tools or processes or some parts of the process should be intuitive to make it easier for the developers."
"ABBYY's support model could be improved because we get some complaints from customers regarding the amount of time it takes and the kind of responses we get. They also need to improve their professional services team and train them to support customers better during custom implementations."
"Customization in the solution needs to be modified. In the future, I would like to see the product have better customization functionality."
"They say that they have invoice training or document training where if you put in a certain number of documents of the same type and you fix it once, twice, or a few times, it'll automatically be able to read the same document perfectly without you having to create a layout for it to follow. That has never worked properly for any project, so I just stopped recommending it completely. We spent time trying to test and getting a bunch of invoices to test it with, and in the end, it just didn't do what it needed to. If they fix that or if they can improve on that, that would be great. It will save a lot of time for a lot of people, and it will allow people with less experience with ABBYY to be able to use it."
"Since we are using a trial version, we don't have administration access to create a tenant to integrate my OCR series with Postman."
"The accuracy changes depending on the scenario so you need to test it before committing to this solution."
"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."
"They could work on the price and make it a bit more reasonable."
"Extracting tables from certain documents could be improved."
"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."
"The solution lacks support for a greater range of languages."
"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."
ABBYY Vantage is ranked 1st in Intelligent Document Processing (IDP) with 46 reviews while HyperScience is ranked 5th in Intelligent Document Processing (IDP) with 7 reviews. ABBYY Vantage is rated 8.0, while HyperScience 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 HyperScience writes "It has a lot of functionality, whatever we use, but a few things could be improved". ABBYY Vantage is most compared with UiPath Document Understanding, UiPath, Microsoft Power Automate, OpenText Intelligent Capture and Tungsten TotalAgility, whereas HyperScience is most compared with UiPath, Instabase, Microsoft Power Automate, Tungsten RPA and IBM Datacap. See our ABBYY Vantage vs. HyperScience report.
See our list of best Intelligent Document Processing (IDP) vendors and best Robotic Process Automation (RPA) vendors.
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