IBM Datacap and HyperScience are prominent solutions in the data capture and document processing industry. HyperScience holds an edge with its advanced OCR capabilities and AI-driven improvements.
Features: IBM Datacap offers robust data capture from unstructured content, a variety of export formats, and seamless integration with other IBM products. It is known for scalability and reliability. HyperScience is recognized for its superior OCR functionality, effective handling of handwritten documents, and AI-driven advancements. It efficiently manages distorted and rotated images.
Room for Improvement: IBM Datacap could improve its OCR speed, reporting and analytics, and management of Arabic language documents. Integration of AI technology is also desired. HyperScience needs better unstructured data extraction, language support, and integration with RPA tools. Handling of multiple tables in single forms could also be enhanced.
Ease of Deployment and Customer Service: IBM Datacap usually deploys on-premises, with extensive documentation, though its first-line support is noted for language limitations and responsiveness issues. HyperScience offers flexible deployment options, including hybrid and cloud, but its technical support faces challenges with limited resources.
Pricing and ROI: IBM Datacap is seen as expensive with user-value licensing models, though integration with other IBM products provides value. HyperScience is considered more affordable with lifetime licensing options, but page charges may accumulate. Both aim to automate processes and cut costs, but IBM's productivity gains sometimes fall short of expectations.
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.”
IBM Datacap helps you streamline the capture, recognition and classification of business documents and extract important information. Datacap supports multiple-channel capture by processing paper documents on scanners, mobile devices, multi-function peripherals and fax. It uses natural language processing, text analytics and machine learning technologies, like those in IBM Watson, to automatically identify, classify and extract content from unstructured or variable documents. The software can reduce labor and paper costs, deliver meaningful information and support faster decision making.
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.
