HyperScience vs OpenText Intelligent Capture comparison

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HyperScience Logo
2,240 views|973 comparisons
100% willing to recommend
OpenText Logo
2,279 views|976 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between HyperScience and OpenText Intelligent Capture based on real PeerSpot user reviews.

Find out in this report how the two Intelligent Document Processing (IDP) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed HyperScience vs. OpenText Intelligent Capture Report (Updated: March 2024).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We have seen pretty good accuracy.""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.""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.""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."

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"The solution is very powerful because it allows for custom scripting.""It allows you to image capture, scan documents and use machine learning to automatically index and tie them.""We use it to capture documents coming through our product and mobile channels and make them available for our business to access and email. We use it to automate the email workflow in our applications, pull the documents, and email them to the users.""The automated version of the vendor invoice management is great.""The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText.""Being able to have accurate extraction is most valuable. It has machine learning and other tools to make the extraction more accurate."

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Cons
"Extracting tables from certain documents could be improved.""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 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.""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."

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"If something is handwritten and attached to an email, it doesn't capture the information correctly.""Knowledge of .NET is required to effectively use the solution or it can be complicated.""The setup is medium complexity.""The area for improvement primarily centers around licensing concerns rather than technical issues. Captiva, intended for larger clients, poses challenges for medium and small businesses due to licensing costs. The current licensing model is based on volume, such as purchasing a volume for one million dollars per year for scanning. This pricing structure may be prohibitive for companies with constrained budgets. Another aspect requiring attention is the mobile capture feature, which, although experiencing recent enhancements in intelligent document processing through AI, could benefit from further improvements. Specifically, there is room for enhancement in enabling users to efficiently capture documents using their smartphones.""It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement.""We are using it to improve the image and the documentation for the cases. And sometimes, some cases have more than fifteen different types. We use some tools as fixed standard analysis and provide information to support the different types to take some decisions and help in an automated process. We choose the case type and subtype DNS scanning documents from the data entry up.""I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents"

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Pricing and Cost Advice
  • "I think HyperScience is cheaper when compared to other tools. They also have a lifetime licensing option."
  • "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."
  • More HyperScience Pricing and Cost Advice →

  • "Some customers say the solution can get costly because it requires licenses or enterprise packages."
  • "OpenText is an expensive solution."
  • More OpenText Intelligent Capture Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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.
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer:The enterprise and capturing feature of OpenText is its valuable feature. As we have integrated CRM with OpenText.
    Top Answer:The area for improvement primarily centers around licensing concerns rather than technical issues. Captiva, intended for larger clients, poses challenges for medium and small businesses due to… more »
    Top Answer:It is designed for the automated capture and recognition of documents. Whether obtained through scanning, emails, faxes, or other sources, documents can be captured and data automatically extracted… more »
    Ranking
    Views
    2,240
    Comparisons
    973
    Reviews
    5
    Average Words per Review
    640
    Rating
    7.6
    Views
    2,279
    Comparisons
    976
    Reviews
    4
    Average Words per Review
    440
    Rating
    8.3
    Comparisons
    Also Known As
    OpenText Captivas
    Learn More
    HyperScience
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    Overview

    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.

    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.”

    OpenText™ Intelligent Capture, formerly OpenText Captiva, is an enterprise capture platform, providing omni-channel capabilities for collecting everything from scanned paper to chatbots. It is not just for organizing content at the front door, but automating processes across the enterprise. It can automate processes for standard documents, such as Financial Accounts Payable and Accounts Receivable, or complex documents, such as contracts or partner requests that require action based on the document’s content.

    Sample Customers
    Hyperscience's customers are some of the top enterprises in the Insurance, Government, Financial Services, and Healthcare industries.
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm12%
    Insurance Company9%
    Government7%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm16%
    Manufacturing Company12%
    Government7%
    Company Size
    REVIEWERS
    Large Enterprise100%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business29%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    Buyer's Guide
    HyperScience vs. OpenText Intelligent Capture
    March 2024
    Find out what your peers are saying about HyperScience vs. OpenText Intelligent Capture and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    HyperScience is ranked 5th in Intelligent Document Processing (IDP) with 7 reviews while OpenText Intelligent Capture is ranked 7th in Intelligent Document Processing (IDP) with 7 reviews. HyperScience is rated 7.6, while OpenText Intelligent Capture is rated 8.2. 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 OpenText Intelligent Capture writes "A powerful solution for custom scripting but .NET knowledge is required". HyperScience is most compared with ABBYY Vantage, UiPath, Instabase, Microsoft Power Automate and Infrrd OCR, whereas OpenText Intelligent Capture is most compared with ABBYY Vantage, Tungsten TotalAgility, UiPath Document Understanding, IBM Datacap and Hyland Brainware. See our HyperScience vs. OpenText Intelligent Capture report.

    See our list of best Intelligent Document Processing (IDP) vendors.

    We monitor all Intelligent Document Processing (IDP) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.