HyperScience Valuable Features

Abdul Quadir - PeerSpot reviewer
Assistant Manager at WNS Global Services

Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy, which can be improved using ML technology. 

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Pavan Balaji - PeerSpot reviewer
Digital Innovation Leader at Allstate India

The product performs well on handwritten text and on checkboxes with regard to data extraction. It also has some algorithms that can detect a document template even if it is rotated in different directions and if the image has a lot of distortions. It has a great feature called visual template matching, which identifies the template and extracts the data.

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Satender Sajwan - PeerSpot reviewer
Operations Manager at Genpact

HyperScience provides a lot of features. It can auto-transcribe the handwritten information on the forms. You can create as many forms as you want in order to provide HyperScience information about the input coming up for similar forms. It has an AI that helps to improve the accuracy day by day as you work on it. It gives you a better output every time you work on it. There is a lot of flexibility around it. 

There is a very robust reporting mechanism inside it, which can give you all sorts of data that you need in order to improve the process and provide feedback to HyperScience.

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Buyer's Guide
HyperScience
March 2024
Learn what your peers think about HyperScience. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.
Pavan Nanjundappa - PeerSpot reviewer
Sr. Manager at Allstate India

What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google.

There is a feature called Visual Template Projection which tries to identify the template of the document that is submitted regardless of the orientation of the document, whether it's visually damaged, or in very bad shape. It will try to match the template.

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YS
OCR Developer at a tech vendor with 10,001+ employees

I like that compared to other tools, HyperScience works best with handwritten documents.

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NK
Head of AI and Automation at a insurance company with 5,001-10,000 employees

As far as the product goes, I really like the product. It’s clear why it is the market leader.

We have seen pretty good accuracy.

There are all different kinds of use cases that we get out of it - especially for its core capabilities. We are experiencing pretty good results with the core capabilities overall.

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SP
Lead Analyst at a financial services firm with 1,001-5,000 employees

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.

The user-training module allows users to go in and retrain it by correcting a few configurations that can allow for better extraction. It will enable the extraction to be correct on the second attempt or in the subsequent attempts.

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Buyer's Guide
HyperScience
March 2024
Learn what your peers think about HyperScience. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.