OCR Contract For Work

Aug 6th, 2022
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Follow these basic steps to OCR Contract For Work using DocHub:

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  4. OCR Contract For Work and save adjustments.
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How to OCR Contract For Work

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In this webinar led by Quentin Russell, an engagement specialist at Doc365, the focus is on providing a basic guide to Optical Character Recognition (OCR) in contract management tools. As OCR technology becomes increasingly integrated into various contract management systems, the session aims to demystify the topic for attendees. The webinar will start with an introduction to Doc365's credibility, followed by a clear explanation of what OCR is. It will then discuss how OCR interacts with contract management processes, equipping participants with the knowledge needed to assess different solutions without being overwhelmed by industry jargon.

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Optical character recognition (OCR) technology is a business solution for automating data extraction from printed or written text from a scanned document or image file and then converting the text into a machine-readable form to be used for data processing like editing or searching.
Images that contain clearly printed or typed information can have their text extracted (and, thus, made searchable) through a process called OCR (Optical Character Recognition). This activity schedules an OCR task using distributed processing.
OCR stands for Optical Character Recognition. It is a technology that recognizes text within a digital image. It is commonly used to recognize text in scanned documents and images. OCR software can be used to convert a physical paper document, or an image into an accessible electronic version with text.
OCR software can be used to convert a physical paper document, or an image into an accessible electronic version with text. For example, if you scan a paper document or photograph with a printer, the printer will most likely create a file with a digital image in it.
There are two types of OCR. These are software based OCR and machine based OCR (or inline OCR). The core algorithms are very similar. But the technologies are used on different types of text and are tuned in rather different ways.
Optical character recognition (OCR) uses a scanner to process the physical form of a document.
The most well-known use case for OCR is converting printed paper documents into machine-readable text documents. Once a scanned paper document goes through OCR processing, the text of the document can be edited with word processors like: Microsoft Word. Google Docs.
Optical Character Recognition (OCR) is the process that converts an image of text into a machine-readable text format. For example, if you scan a form or a receipt, your computer saves the scan as an image file. You cannot use a text editor to edit, search, or count the words in the image file.

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