HyperScience Reviews

Name: HyperScience
Brand: HyperScience
Rating: 3.8 (7 reviews)

3.8 out of 5

7 reviews
100% willing to recommend

320 followers

What is HyperScience?

HyperScience is a cloud-based input-to-output platform that automates document-based workflows and extracts data for analysis from both physical and digital documents.

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HyperScience is the #5 ranked solution in top Intelligent Document Processing (IDP) solutions. PeerSpot users give HyperScience an average rating of 7.6 out of 10. Based on the analysis of the 7 most recent HyperScience reviews, the overall sentiment is positive, with a sentiment score of 7.4. (Among the highest in the category). HyperScience is most commonly compared to ABBYY Vantage: HyperScience vs ABBYY Vantage. HyperScience is popular among the large enterprise segment, accounting for 68% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 17% of all views.

Helped 816,406 peers since 2012

Featured reviews

Pavan Balaji

Digital Innovation Leader at Allstate India

The solution lacks support for a variety of languages. It supports three or four languages, whereas other vendors support 60 languages. I'd also like to see some improvement in the various dictionaries, including address validation dictionaries, or phone number validation dictionaries, those things need to be improved. It provides a machine confidence score but doesn't give accuracy scores.

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Satender Sajwan

Operations Manager at Genpact

We tested HyperScience on structured formats of the forms, and it worked really well. We tested it with semi-structured formats, and it worked well. We also tested creating a new form that does not have any format. 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. Such a capability would make it a perfect system for processes like data entry, accounts tables, etc. Secondly, before putting the actual volume in the tool, I believe that we have to create a manual form every time. If the procedure of creating the forms can be shortened or automated, it would help. It would reduce the manual effort of creating a form every time you start working on it. There should be an automated form creation system that does not require any manual intervention. Whenever a new form comes, the system should be able to create a dummy form for that. That will help.

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Abdul Quadir

Assistant Manager at WNS Global Services

Extracting tables from certain documents could be improved. The next product release should include a utility that provides HyperScience JSON output. It would be related to any application, like other platforms and include Power Apps. We need to impact their REST API, but we would need a connection bridge application. And the second feature would be HyperScience providing different outputs. At present, HyperScience only provides JSON output. If a business needs a different output, we must create the utility ourselves and provide that data to XML or something similar. But if HyperScience could do that, we would no longer need third-party apps.

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HyperScience mindshare

As of November 2024, the mindshare of HyperScience in the Intelligent Document Processing (IDP) category stands at 9.4%, up from 9.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Intelligent Document Processing (IDP)

Key learnings from peers

Last updated Nov 21, 2024

Valuable Features

HyperScience's most valuable features include its superior accuracy with handwritten documents, effective user-training module, and advanced OCR quality. Users appreciate Visual Template Projection for identifying document templates despite orientation issues. It excels in data extraction from handwritten text and checkboxes, achieving high accuracy with ML enhancements. Its AI continuously improves performance, offering flexibility and robust reporting.

"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."

Room for Improvement

HyperScience needs to improve usability, especially in handling multiple tables and unstructured data extraction. Language support is limited, with room for more languages beyond the current few. Integration with other RPA automation tools could enhance functionality. Users desire more output format options and reduced manual form creation effort. The price could be more competitive. There's a need for enhancing dictionaries for validation purposes, while JSON output limits require alternatives for broader application integration.

"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."
"Extracting tables from certain documents could be improved."
"The solution lacks support for a greater range of languages."

Pricing

Users find HyperScience pricing competitive compared to other tools, with options like lifetime licensing and volume-based models. However, opinions on affordability vary; some mention high costs with a per-page charge at $1.50. Different pricing models include a fixed price based on a minimum number of pages. Overall, licensing costs remain less transparent, and some organizations note that the pricing depends heavily on the volume processed through the platform.

"I don't have any idea about the licensing costs, but I know that there was a per-page charge. They had different models of pricing. One of them was based on the minimum number of pages, and we had a fixed price. So, the price model depends on the volume that is coming through HyperScience."
"I think HyperScience is cheaper when compared to other tools. They also have a lifetime licensing option."

Popular Use Cases

HyperScience is utilized primarily for document processing and automation across diverse fields such as medical and financial services. It handles extraction from structured, unstructured, printed, and handwritten documents. Users apply it for enterprise-level document automation, enabling data extraction and integration with existing systems. It processes scanned, emailed, and printed documents, providing JSON outputs for further automation. Users report employing HyperScience for intelligent document management, handling claims automation and streamlining data entry on cloud platforms.

Service and Support

Technical support from HyperScience is responsive and helpful, with users appreciating their in-house assistance without relying on outside consultants. HyperScience provides training and extensive technical support, showcasing strong product knowledge. Customers value their ability to customize offerings to meet specific needs. Some users, however, have not directly interacted with the HyperScience team. Overall, those with experience praise their responsiveness and expertise.

Deployment

Users found HyperScience's initial setup straightforward, with a week for completion for some. They appreciated HyperScience team's assistance during deployment, finding it dependent on specific needs. Integration was simple, and complexity lay with developers integrating it into existing systems. Few people were needed for deployment and maintenance. Users noted a smooth upgrade process, no concerns about deployment duration, and high accuracy. New template training was quick, even with a large document volume.

Scalability

HyperScience is generally found to be scalable. It performs well with a high document load, handling scalability needs efficiently. Some users report long batch processing times, possibly affected by configuration settings. Training aids its effective use among many users, predominantly consultants. In automation environments, it integrates seamlessly, requiring no direct users. While inapplicable in certain situations, it gained attention in projects, accommodating fluctuating user numbers.

Stability

HyperScience is noted for its stability, with users mentioning good performance and minimal issues. While generally reliable, some improvements are suggested, particularly in language support and dictionary validations. Users mention successful performance after training, with no bugs, glitches, or crashes. Although stable, some users express a need for enhanced features like character and address corrections. The solution meets required performance standards effectively once properly trained and deployed.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our HyperScience Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

14%

Manufacturing Company

Insurance Company

Government

Healthcare Company

Real Estate/Law Firm

University

Construction Company

Comms Service Provider

Retailer

Educational Organization

Energy/Utilities Company

Wholesaler/Distributor

Media Company

Non Profit

Logistics Company

Legal Firm

Outsourcing Company

Transportation Company

Recreational Facilities/Services Company

Hospitality Company

Performing Arts

Pharma/Biotech Company

Consumer Goods Company

Compare HyperScience with alternative products

Learn more about HyperScience

The HyperScience platform simply integrates with your current business systems thanks to an open API, an intuitive UI, and pre-trained models, resulting in a totally automated digital workflow.

The classic scanning paradigm has been reimagined by HyperScience; it has replaced the need for human verification with intelligent technology that learns as it goes. The solution automates previously manual operations using a simple model-based solution or from the ground up, saving time and resources that can be redirected to more strategic efforts. The platform has a minimum accuracy of 75% when it is first installed, but it can exceed 99% accuracy in a matter of weeks.

With out-of-the-box and customizable tasks, workflows, and connectors, the solution automatically connects into your document workflows. HyperScience, which is powered by industry-leading machine learning, makes it simple to get from input to actionable data.

HyperScience Benefits

There are many benefits to implementing HyperScience. Some of the biggest advantages the solution offers include:

Automation: With automation, users can save 89% of the time they would have spent doing things the old way. Businesses are able to save money in this way.

Risk mitigation: The number of human errors can decrease by 67%. Users can benefit from straight-through processing at 94% with 99% data accuracy.

Speed: Some users see 75-95% automation out of the box and a 4-5x improvement in throughput.

HyperScience Features

HyperScience has many valuable key features. Some of the most useful ones include:

Simplify document processing: Convert unstructured text into actionable data that can be utilized to speed up and improve the accuracy of downstream processing. Set your target accuracy rates, and our machine will automate them using our patented machine learning technology.
Flow Studio: For your document-intensive tasks, pre-built or easily configurable corporate automation solutions are available. Flows, which are the organized execution of Blocks that represent your business processes, are put together to construct end-to-end solutions for certain use cases or industries. All Flows are displayed in HyperScience's Flow Studio, where end-to-end document processing solutions can quickly inspect and modify Flow and Block settings.
Blocks: The HyperScience Platform is built on modular Code Blocks. These help you to create the best document processing solution for your customers thanks to built-in machine learning. Code Blocks are components that can be developed and deployed by business users individually. Code Blocks help you to quickly assemble the workflows and processes that best meet your document processing needs.
Connectivity and integration: To ensure the accuracy of your retrieved data, the HyperScience platform readily connects to systems of record and other platforms. Integrate with other systems in your environment during document processing to leverage external data for further automation and decision-making.
Granular reporting: You can see exactly how your automation enhances the customer experience, which staff are the most efficient and consistent, and where bottlenecks in your document processing are, thanks to built-in, real-time reporting.
Human supervision: HyperScience equips humans with a streamlined task queue and easy-to-use interface designed to empower your teams, not slow them down.

Reviews from Real Users

HyperScience stands out among its competitors for a number of reasons. Two major ones are its robust user-training module and its accuracy with handwritten documents. PeerSpot users take note of the advantages of these features in their reviews:

One PeerSpot reviewer, a Lead Analyst at a financial services firm, writes, “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.”

Yogesh S., OCR Developer at a tech vendor, notes of the solution, “I like that compared to other tools, HyperScience works best with handwritten documents.” He adds, “We're automating invoices and some handwritten filled-out documents. We can automate with accuracy, and even though we used HyperScience initially for selling purposes and as a comparison tool, we're now getting these results with HyperScience.”