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."The most valuable features have been the rate of recognition and the structured documents."
"The machine learning capability is pretty good."
"Abbyy is really good in terms of reading OCR."
"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 solution has its own language that can be configured many ways and with higher accuracy than other products."
"The OTR (Optical Text Recognition) is the most valuable feature of this solution."
"We are able to extract details from a PDF and put them into a CSV. It is able to extract the details that we are looking for. We have the Machine Learning feature to extract the data with respect to the position of the field."
"We have found the solution to be stable so far."
"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."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"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."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"We have seen pretty good accuracy."
"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"Programming interfaces should include intelligence or documentation."
"In the future, I would like to see integration with Google Sheets."
"It's important to incorporate image detection for signatures or other handwriting elements."
"This solution should have better integration with RPA solutions such as Blue Prism."
"In IRISXtract, we can have master data, and we can set the master data. There are more options for taking any data and comparing it with master data. For a project, they have a dump from SAP for validation. This feature is there in ABBYY, but it is not extensive like IRISXtract. ABBYY is capturing the data, but there are not a lot of options to validate the captured data. It would be helpful if there are more options for validating the captured data in ABBYY FlexiCapture."
"The system does not always train itself to recognize data properly."
"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."
"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."
"They could work on the price and make it a bit more reasonable."
"The solution lacks support for a greater range of languages."
"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."
"HyperScience could improve the unstructured data extraction feature."
"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."
ABBYY Vantage is ranked 1st in Intelligent Document Processing (IDP) with 24 reviews while HyperScience is ranked 5th in Intelligent Document Processing (IDP) with 6 reviews. ABBYY Vantage is rated 8.0, while HyperScience is rated 7.6. The top reviewer of ABBYY Vantage writes "An easy-to-use solution with good ICR and OCR capabilities, but needs more connectors and advanced workflows and better stability". On the other hand, the top reviewer of HyperScience writes "Beneficial user-training module, reliable, and useful digital extractions". 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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