Transform your daily workflows and OCR CV

Aug 6th, 2022
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How to ocr cv

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this video will cover the OCR tool on the CVX otherwise known as the optical character recognition tool this is very good for reading characters such as letters numbers and other characters like periods hyphens etc were going to add the tool you can find it in two places you find it in the function list under the OCR tool you can also find it the identification category under the characters tool so Im gonna go ahead and add that to the program thats going to give you your region the only thing you have to make sure is that your region will fall around the characters and then its going to try and automatically extract the characters in individual blocks as you can see that has already happened except the letter F and I will explain why that happened later on and some other settings but first you can see you have the choice to choose the font color white or black obviously the font here is black can choose the text Direction right left up and down as well as mirrored reading if your

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Optical Character Recognition (OCR) is the process of detecting and reading text in images through computer vision. Detection of text from document images enables Natural Language Processing algorithms to decipher the text and make sense of what the document conveys.
Optical Character Recognition (OCR) software is used to read your resume and convert it to a text file. The scannable resume is based on facts and nouns.
Optical Character Recognition (OCR) is the tool that converts the various format documents (scanned copies, images, pdf files, etc.) into an editable and searchable format. RChilli has included Optical Character Recognition (OCR) to scan the printed document and digitize the entire text with its resume parser.
Optical character recognition (OCR) is used to turn scanned images and other visuals into text. This turns paper-based documents into editable and searchable digital mediums and enables the development of an automated optical character recognition (OCR) system.

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