HyperScience pros and cons

3.8 out of 5

7 reviews
100% willing to recommend

320 followers

Pros & Cons summary

HyperScience excels with handwritten documents, offering up to 93-95% extraction accuracy and superior OCR compared to Google. It provides feedback on success status and manages manual review queues. While it effectively detects document templates even when distorted, improvements are needed in supporting multiple tables and unstructured data extraction. It is noted for lacking extensive language support, and users express concerns regarding pricing structures.

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Prominent pros & cons

PROS

HyperScience excels with handwritten documents, enhancing accuracy and efficiency.

User-training modules in HyperScience improve results by providing feedback on confidence levels and queueing items for manual review when needed.

OCR quality in HyperScience surpasses competitors like Google, offering clearer and more accurate text recognition.

HyperScience employs algorithms that effectively recognize document templates, even under distortions.

Tools like IQ Bot in HyperScience allow for high-precision extraction of handwritten documents, achieving 93-95% accuracy rates.

CONS

HyperScience requires configuring a minimal PDF or a maximum of 400 PDFs for better results.

There is a lack of support for scenarios involving multiple tables on the same form.

Improving the unstructured data extraction feature would be beneficial.

The price could be made more reasonable.

Support for a greater range of languages is lacking.

HyperScience Pros review quotes

reviewer1815120

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

Mar 23, 2022

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.

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Satender Sajwan

Operations Manager at Genpact

Oct 25, 2022

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.

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reviewer1881192

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

Jul 14, 2022

We have seen pretty good accuracy.

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Yogesh Shendage

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

Aug 12, 2021

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

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Abdul Quadir

Assistant Manager at WNS Global Services

Sep 5, 2022

Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy.

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Pavan Nanjundappa

Principal Data Scientist at ATOS

Apr 8, 2022

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

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Pavan Balaji

Digital Innovation Leader at Allstate India

Aug 1, 2022

Has algorithms that can detect a document template even if the image has a lot of distortions.

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HyperScience Cons review quotes

reviewer1815120

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

Mar 23, 2022

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.

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Satender Sajwan

Operations Manager at Genpact

Oct 25, 2022

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.

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reviewer1881192

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

Jul 14, 2022

They could work on the price and make it a bit more reasonable.

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Yogesh Shendage

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

Aug 12, 2021

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.

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Abdul Quadir

Assistant Manager at WNS Global Services

Sep 5, 2022

Extracting tables from certain documents could be improved.

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Pavan Nanjundappa

Principal Data Scientist at ATOS

Apr 8, 2022

HyperScience could improve the unstructured data extraction feature.

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Pavan Balaji