Optic Character Recognition (OCR) is the mechanical or electronic conversion of typed, handwritten, or printed images into machine-encoded text for computer editing and digitizing handwritten notes into machine-encoded forms to provide searchability and editability. OCR is widely used to convert books, magazines, and other printed materials to electronic text formats that can be edited electronically and digitize handwritten notes into machine-encoded forms for searchability and editability.
OCR technology can be applied in numerous book-scanning applications. For instance, OCR can digitize printed books into digital files that can be read on computers or e-readers and create searchable databases of book content.
OCR scanning is an efficient and fast method of quickly digitizing large volumes of text. OCR can be accomplished using either a desktop or book scanner; for optimal results, book scanners must feature advanced technology with high-resolution settings for optimal text capture.
Specialized book scanners are explicitly tailored for scanning books. These specialized scanners typically boast higher resolution scanning than desktop scanners. They can simultaneously scan both sides of a page to speed browsing processes while decreasing risks related to book damage.
OCR scanning serves two primary goals. First, it enables computers and other electronic devices to read books; secondly, it makes text from books searchable electronically. Furthermore, OCR can create digital versions of books for reading on devices like e-readers and databases of book text searchable by OCR technology.
OCR scanning books is vital in turning them digital and making them available to readers on computers, phones, and other devices. Furthermore, OCR allows readers to search for specific words or phrases within books.