HyperScience and Grooper are competing in the document processing space. HyperScience seems to have the upper hand in customer support and ease of use, while Grooper stands out with advanced features that may justify its higher price.
Features: HyperScience emphasizes automation in data extraction, streamlining processes with machine learning capabilities. It includes a robust reporting mechanism and offers the ability to extract handwritten information with high accuracy. Grooper provides advanced document parsing and classification, allowing extraction from a variety of document types and supports a wide range of file formats.
Room for Improvement: HyperScience could enhance advanced feature support for complex document insights and broaden its deployment customization options. Training modules could further simplify user education. Grooper might benefit from simplifying its deployment process and enhancing user interface intuitiveness. It could also explore reducing initial setup complexity.
Ease of Deployment and Customer Service: HyperScience excels with simplified deployment, reducing setup time and requirements, supported by responsive customer service. Grooper's deployment, although more involved, is complemented with extensive support resources and a comprehensive knowledge base.
Pricing and ROI: HyperScience offers competitive pricing with lower upfront setup costs, which appeals to businesses focusing on cost-effectiveness and rapid ROI. Grooper may require a higher initial investment, but it provides long-term value through enhanced functionality, appealing to enterprises seeking specific data-driven outcomes.
Grooper was built from the ground up by BIS, a company with 35 years of continuous experience developing and delivering new technology. Grooper is an intelligent document processing and digital data integration solution that empowers organizations to extract meaningful information from paper/electronic documents and other forms of unstructured data.
The platform combines patented and sophisticated image processing, capture technology, machine learning, natural language processing, and optical character recognition to enrich and embed human comprehension into data. By tackling tough challenges that other systems cannot resolve, Grooper has become the foundation for many industry-first solutions in healthcare, financial services, oil and gas, education, and government.
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:
HyperScience Features
HyperScience has many valuable key features. Some of the most useful ones include:
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.”
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.