

HyperScience and OpenText Capture compete in the document processing space. OpenText Capture is often considered superior due to its comprehensive feature set, while HyperScience is praised for its pricing and support satisfaction.
Features: HyperScience provides advanced machine learning for automating data entry, reducing manual intervention and errors. It offers efficient document data extraction with high accuracy, particularly for handwritten documents. OpenText Capture delivers extensive document management and processing tools with seamless integration into enterprise systems. It supports multiple channels such as fax and mobile devices, enhancing document capture efficiency. Advanced AI-driven data extraction capabilities further boost its feature set.
Room for Improvement: HyperScience could improve its customer onboarding experience and address the steep learning curve associated with its technology. Enhanced integration options with enterprise software and better template recognition would enhance its offerings. OpenText Capture could benefit from simplifying its pricing structure and making its wide range of features more accessible. Additionally, improving mobile integration functionality and reducing setup complexity would enhance user experience.
Ease of Deployment and Customer Service: OpenText Capture is known for smooth deployment processes and strong support services, making it accessible for enterprises. HyperScience, despite efficient deployment options, may require more in-depth training and onboarding. Its support setup might demand more initial time, placing greater emphasis on training resources.
Pricing and ROI: HyperScience offers reasonable setup costs with a strong focus on achieving long-term ROI through improved data processing efficiency and accuracy. OpenText Capture has a higher setup cost, justified by its extensive capabilities and potential for substantial ROI through integration and feature utilization. Despite the higher initial investment, OpenText Capture often provides significant value through its comprehensive features.
| Product | Market Share (%) |
|---|---|
| OpenText Capture | 5.2% |
| HyperScience | 3.3% |
| Other | 91.5% |

| Company Size | Count |
|---|---|
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 6 |
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.”
OpenText Capture leverages machine learning for effective document extraction and automated vendor invoice management, boasting powerful integration capabilities with CRM systems and an efficient OCR tool. Its platform supports API interaction for comprehensive document management.
OpenText Capture enhances document processing through accurate indexing with machine learning and efficient image capture via OCR, integrating data into systems like ECM and ERP. Users benefit from streamlined workflows, automating tasks such as extracting invoice data from scanned or emailed documents. Challenges include improving AI-driven document duplicate detection, OCR for lease abstraction, and the development of mobile capture features. Users seek a more user-friendly experience with lower licensing costs.
What are the key features of OpenText Capture?Industries rely on OpenText Capture for efficient document management in capturing vendor invoices and automating workflows. In real estate, OCR might be used for processing lease documents, streamlining property management. Finance sectors benefit from automated invoice handling, often integrating data with ERP systems for improved financial oversight.
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.