| Traditional OCR | Hyperscience | |
|---|---|---|
| Purpose | Extracts text from images and scanned documents. | Automates processing of structured and unstructured documents from a variety of inputs (PDF, image, email, etc.) |
| Accuracy | Around 95% for clear, well-formatted text, dropping to 50-70% with handwriting and poor image quality. | Up to 99.5% as defined by your business needs, for both printed and handwritten text. |
| Speed | Faster processing, but lower accuracy and more manual effort to correct mistakes. | Slower initial processing, but increased accuracy improves overall processing times. |
| Flexibility | Used for well-structured documents where you know the data that needs to be extracted and where to find the data within the document. | Handles a wide range of document types and formats, from structured forms to fully unstructured documents like contracts or emails. |
| Customization | Text extraction only. Often requires additional tools for preprocessing and postprocessing. | Adaptable to any business process, capabilities go well beyond extraction, helping customers act on data. |
| Human-in-the-Loop | None. Errors must be corrected later, often in another system. | Machine learning identifies when human input is necessary to ensure the highest accuracy. |
| Templates | Requires predefined templates for each specific document variation, often requiring IT or 3rd party support. | Template-free. ML handles document variability by learning from day to day processing. |
| Learning Capabilities | None. Needs constant maintenance to avoid making the same mistakes over and over. | Uses human feedback to finetune ML models, requiring less human intervention over time. |
| Adding New Use Cases | Between 2-4 weeks, depending process complexity. | Normally 1-2 days, depending on process complexity. |
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Hyperscience’s unique document automation approach prioritizes data extraction accuracy. On average, this approach performs 20% better than competitors on printed text, and 4x better on handwriting.
Watch a demoAn intuitive user interface means end-users can easily create layouts, models, and supervision tasks in under 30 minutes, without dedicated developer resources.
The Hyperscience Platform can be deployed in our highly secure, SaaS environment, private cloud, or on-premise.
Watch a demoHyperscience integrates with leading software providers to deliver out-of-the-box connectors, ensuring a seamless fit with existing workflows—delivering faster time-to-value and greater end-to-end automation.
Watch a demoDiscover a new approach to automation where machines know when to seek input from humans—no matter what step of the process. Minimize risk in your IDP deployment and make operations easier to execute and scale—leaving behind the limitations of other automation methods like RPA and OCR.
Watch a demoIndustry-Leading Accuracy
Easy to Use and Deploy
Built for Flexibility
Human Centered Approach
Hyperscience’s unique document automation approach prioritizes data extraction accuracy. On average, this approach performs 20% better than competitors on printed text, and 4x better on handwriting.
Watch a demoAn intuitive user interface means end-users can easily create layouts, models, and supervision tasks in under 30 minutes, without dedicated developer resources.
The Hyperscience Platform can be deployed in our highly secure, SaaS environment, private cloud, or on-premise.
Watch a demoHyperscience integrates with leading software providers to deliver out-of-the-box connectors, ensuring a seamless fit with existing workflows—delivering faster time-to-value and greater end-to-end automation.
Watch a demoDiscover a new approach to automation where machines know when to seek input from humans—no matter what step of the process. Minimize risk in your IDP deployment and make operations easier to execute and scale—leaving behind the limitations of other automation methods like RPA and OCR.
Watch a demo
