NuOCR is a high-performance optical character recognition system for enterprises that automates data extraction from paper, images or pdf files. After extraction, it enables the user to validate the content and save it to the database or download the content.
NuOCR converts unstructured information to structured digital data allowing enterprises to power up their CRM capabilities for enhanced customer experience.
Manual data collation is a tedious task, in which one minor error can result in mismatching outputs affecting the quality of the data. The solution to this problem lies in an automated data capture system that collects information from any document and gets it right, every time.
NuOCR converts information on any document – an image file, a paper document, or a pdf document – into quickly accessible, searchable, and error-free digital data. The system then saves it to your database, helping organizations manage data better and saving time and energy spent on finding the right information. It also allows enterprises to save costs and improve business productivity.
Reduce time and money spent on manual data capture processes with NuOCR. Automatic data detection, easy edit options and smart content organization allows users to save much time and money spent on their data management.
Do away with the inconvenience of paper documentation and embrace the simplicity of organized digital data. NuOCR helps to make data available to the user right at their fingertips.
Intelligent systems capture the right data, reducing data errors and improving the overall quality of the data. Errors that make their way into the system can be quickly captured by the users and edits made before saving it to the database.
Declutter your office space of paper documents and make space for meaningful work to happen. Digitized documents have the information you need for your work readily available to you allowing you to get rid of the paper counterparts.
NuOCR is a solution that can be used across industries. Most of our pre-built industry-specific form templates are from:
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