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OCR++: A Robust Framework For Information Extraction from Scholarly Articles Mayan Singh, Barnopriyo Beirut, Priyanka Paled, *Mani Gang, Siddhartha Sat apathy, Samuel Bush, Kumar Ayush, Krishna SAI

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What is ocr a robust framework?

OCR (Optical Character Recognition) is a robust framework that enables the conversion of different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data.

Who is required to file ocr a robust framework?

Any individual or organization that needs to digitize large amounts of documents or streamline document processing can benefit from using OCR as a robust framework.

How to fill out ocr a robust framework?

OCR a robust framework can be filled out by implementing OCR software or tools that are capable of extracting text from images or scanned documents and converting it into a digital format.

What is the purpose of ocr a robust framework?

The purpose of OCR as a robust framework is to automate the process of digitizing documents, reducing manual data entry, and improving the efficiency of document management.

What information must be reported on ocr a robust framework?

The information that must be reported on OCR a robust framework includes the text content extracted from the documents, as well as any metadata or formatting details that are preserved during the conversion process.

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