Automatically Identify and Extract Text from Images
We can help you with optical character recognization. The technology is based on deep learning, using convolutional neural networks.
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Computerized Recognition of Handwritten Characters
An OCR application can take scanned images as input and provide a machine-encoded interpretation of the source content. A document that has been through this process is called an image based representation or OCR output . Computerized recognition of handwritten characters and reading text in images is a common application.
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Automatically Extract Text from Documents
OCR is used by companies, militaries and governments to automatically extract text from documents. It is the basis for many search engine technologies. The accuracy of OCR software has increased substantially as computer processing power has grown and as better algorithms have been developed.
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Identify Distinctive Features
OCR is based on pattern recognition which involves identifying distinctive features, and extracting those features to determine the patterns and corresponding characters they represent.
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Accessibility
Many documents such as invoices, bills and loan statements contain information that is personal or sensitive in nature and may be meant only for the eyes of the intended recipient.
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Digitization
Converting physical documents into digital ones that can then be transmitted via email or read by a screen reader.
How can Optical Character Recognition help your business?
We can help you with optical character recognization. The technology is based on deep learning, using convolutional neural networks.
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Security: Organizations are regularly faced with the task of monitoring, recording and reporting on printed documents that contain sensitive information. OCR offers methods for automating this process.
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Business: Document automation is frequently used in accounting, documentation and publishing industries. It reduces costs by reducing manual effort, speeding up processes, improving accuracy and reducing reliance on paper-based documents.
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Publishing: Digitizing older books and newspapers to produce E-book versions with text-to-speech synthesizers or screen readers, also called “document publishing”.
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Machine reading: An ability to read text in images such as road signs, handwritten notes and product labels, enabling machines to effectively read and know the information contained in it.
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