We performed a comparison between HyperScience and Pega Robotic Process Automation based on real PeerSpot user reviews.
Find out in this report how the two Robotic Process Automation (RPA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I like that compared to other tools, HyperScience works best with handwritten documents."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"We have seen pretty good accuracy."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent 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."
"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."
"The most valuable features are the loops to lookup tables to read the data."
"It is a scalable solution."
"The most valuable feature of Pega Robotic Process Automation is the technique: you can create a user interface that can interact with a human being for attended robots."
"Pega Robotics offers all the required features to build end-to-end process automation like any other similar tools. It's unique development style using data line and control flow line makes it easy to debug through the flow."
"They are leaders in the same industry."
"It is really flexible in what it can do."
"The most valuable aspect for myself was access to the .net framework. If I couldn't figure something out using the objects that they had provided, I could bring in the .net objects and do so using similar logic that I would in a .net or C sharp coding language. Having that familiarity was helpful."
"The low-code/no-code development aspect of the solution is great."
"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."
"The solution lacks support for a greater range of languages."
"They could work on the price and make it a bit more reasonable."
"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."
"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."
"I feel like it doesn't get updated frequently enough. There aren't a lot of new features or a clear roadmap for future improvements."
"The OCR capabilities of the solution could be improved."
"It's difficult not knowing when alerts will arrive."
"Pega Robotic Process Automation scalability is too low."
"Pega Robotic Process Automation can improve the OGR area. You don't have a feature to read documents in computer voices."
"Rule versioning and deployment to enable parallel development could still be improved"
"It is still a niche skill and resources are scarce in the market unless big IT companies are involved."
"There have been some scenarios where the bot was not able to replace some of the controls and could not recognize and personalize the task we wanted to automate."
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HyperScience is ranked 6th in Intelligent Document Processing (IDP) with 7 reviews while Pega Robotic Process Automation is ranked 9th in Robotic Process Automation (RPA) with 22 reviews. HyperScience is rated 7.6, while Pega Robotic Process Automation 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 Pega Robotic Process Automation writes "Great for UI creation, helpful support services, and reliable". HyperScience is most compared with ABBYY Vantage, UiPath, Instabase, Microsoft Power Automate and Tungsten RPA, whereas Pega Robotic Process Automation is most compared with UiPath, Blue Prism, Automation Anywhere (AA), Microsoft Power Automate and Pega CRM. See our HyperScience vs. Pega Robotic Process Automation report.
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