We performed a comparison between HyperScience and Python RPA based on real PeerSpot user reviews.
Find out what your peers are saying about UiPath, Microsoft, Automation Anywhere and others in Robotic Process Automation (RPA)."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."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"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."
"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."
"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."
"Keyword-driven automation has been beneficial in streamlining operations."
"Instead of writing multiple lines of code, we can do it in a single statement."
"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."
"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."
"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."
"When we call an API and there is an error, it doesn't tell you what the error is."
"Support could be improved."
HyperScience is ranked 6th in Intelligent Document Processing (IDP) with 7 reviews while Python RPA is ranked 23rd in Robotic Process Automation (RPA) with 2 reviews. HyperScience is rated 7.6, while Python RPA is rated 8.6. 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 Python RPA writes "Helps streamline operations, the error handling capability is fairly good, and integrations are easy". HyperScience is most compared with ABBYY Vantage, UiPath, Instabase, Microsoft Power Automate and Tungsten RPA, whereas Python RPA is most compared with Microsoft Power Automate.
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