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The enclosed electronic (PDF) document has been created by scanning an original paper document. Optical Character Recognition (OCR) has been used to create searchable text. OCR technology is not perfect,
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Start by defining OCR (Optical Character Recognition) as a technology that converts different types of documents, such as scanned paper documents, PDFs, or images taken by a digital camera, into editable and searchable data.
02
Explain the importance of OCR in automating data entry tasks, saving time and reducing errors.
03
List the common applications of OCR, such as digitizing printed documents, automating invoice processing, and extracting data from business cards.
04
Mention the steps involved in using OCR software, including scanning the document, selecting the OCR tool, and reviewing the extracted text for accuracy.
05
Highlight the benefits of using OCR tools, such as increased efficiency, improved accessibility of information, and easier document management.

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Businesses that deal with large volumes of paperwork and wish to streamline data entry tasks.
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Educational institutions looking to digitize and archive old texts and documents.
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Healthcare providers needing to manage patient records efficiently.
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Researchers and historians who require digitization of printed material for analysis.
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Individuals who want to convert printed documents into digital formats for easier access and editing.
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OCR stands for Optical Character Recognition, a technology that converts different types of documents, such as scanned paper documents or images taken by a digital camera, into editable and searchable data.
Individuals and businesses that need to convert physical documents into digital formats or need to process text from images are typically required to use OCR technology.
To implement OCR, users typically scan a document, upload it to an OCR software or application, which then processes the image and converts it into editable text. The accuracy of the conversion may require proofreading and editing.
The purpose of OCR is to digitize printed documents to make them easily editable, searchable, and shareable, enhancing data accessibility and organization.
The information reported using OCR primarily includes the text extracted from documents, along with metadata such as the date of creation, author, and document type, depending on the specific requirements of the application.
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