What exactly is an OPTICAL CHARACTER RECOGNITION

Introduction

OCR is a method of technology that was developed to convert printed, scanned or handwritten text into machine-readable text. The software that converts images analyzes the documents and compares them with fonts found in databases and determines features that are common for characters. The image converter software also seeks out common characteristics such as open areas lines, diagonal lines intersections of lines closed shapes, etc. The most important element of OCR solutions OCR system is the process of collecting Dataset For Machine Learning and capture. 

An OCR application that takes cloud computing one step further. Its popularity grows every year, thanks to the advent of faster microprocessors leading to significantly improved techniques for optical character recognition. It includes all the essential characteristics of any internet-based storage program, including the ability to scan as well as uploading and editing written or typed documents. After OCR has completed changing the image into text it presents the user with a variety of formats for manipulating the information.

What exactly is OCR Software?

OCR is an acronym that stands for Optical Character Recognition. It is a program that allows you to convert the photo of words (such as a scan of a handwritten or typed document) into an electronic text resource. In essence, it converts an image that has been scanned into text format that you can then share or publish with your text editor of choice. OCR applications are essentially text editors. OCR application follows a straightforward sequence of steps: 

1. Scanning
2. Converting text content to the machine-readable format

Certain software's performance is better over others, the job of choosing and highlighting the most effective OCR software is crucial. On the positive side, there are image-to-text software's that keep their standards in check and continuously improve and also enhance the functionality of their software. E.g. OmniPage Pro, Readiris Pro and ABBYY FineReader

OCR Features

Optical Character Recognition not only reduces the time spent scanning, but also helps create smarter documents. It takes away the pile of papers you've stacked on your desk, and transforms them into search engines with informational content. . The most important feature of every optical recognition program is its ability to edit and open the most well-known images formats (JPG, BMB, TIFF etc.).) and PDF documents.

TRANSFORMING TEXT IMAGES to Google Docs

OPTICAL ACTER RECOGNITION

The optical character recognition (shortened to OCR) lets you convert text images from images to editable files. This is done through the help of advanced computer algorithms. Images can be processed separately or in PDF documents with multiple pages. Here is the list of document types that work with OCR: 

• Images or PDF files are obtained through the use of flatbed scanners
• Photos taken with smartphones or digital cameras

Utilizing OCR TO USE OCR GOOGLE DOCS

Google Docs, takes your photos or PDF files that you have uploaded then scans the files and then uses computer algorithms to convert the image into the form of a Google document.

To get the best results For the best results, PDF or image files must be in compliance with specific standards. 

• High-resolution images. For optimal results, high-resolution images advised that each line within the document(s) should have minimum 10 pixels.
• Documents that have horizontal content left to right is suggested and more easily recognized. If you accidentally scan or recorded a document with an incorrect orientation, you may need to scan it over again
• The majority of OCR Training Dataset can work with traditional characters and fonts aswell in a range of languages(depending on the OCR software you're using.) E.g. the Google Docs OCR engine supports a range of character sets, however non-Latin characters are still in the process of being developed. Thus, your chances of getting higher quality results are enhanced the more your document contains common fonts like Times New Roman and Arial.
• High-quality (sharp images that have uniform lighting) images are the best.
• A size of at least 2MB is recommended for both images, as well as PDF documents.
• When processing documents, Google Docs tries its level best to keep the formatting of the text (e.g. Bold or Italic font, size, etc.). But, these intricate particulars can be very difficult to identify and could not always be successful.
• Other formatting elements for text could be lost.

E.g. bulleted, as well as tables, lists that are numbered as well as text columns and footnotes or endnotes . Employing the image-to-text conversion technology lets you create modifications to your document simple and quick. All you need to do is ensure that you comply all the steps required and your text to image conversion will be a great success.

How do I use Google OCR Text?

The most used search engine around the globe has now partnered with OCR software, which is able to use OCR tasks on photos that have digital content. However, this feature is not yet available on Google docs but you can test it through this link- http://googlecodesamples.com/docs/php/ocr.php Google released Tesseract OCR - an optical character recognition tool that is now open source. The reason Google calls it"re-release" is that Tesseract was not initially developed by Google. It was designed through Hewlett & Packard between the between 1985 and 1995. Back then, it was considered to be one of the top three OCR applications available to convert images.

Functionality

It appears to be quite simple to make use of OCR Datasets. All you need to do is

1. Select the file you wish to be to convert.

2. Select 'Start import OCR'

3. Your image is then converted and transferred to Google Docs and is now ready to be sharedor edited, and saved.

Google Docs OCR strives for 100% accuracy however, it achieves close to the same level. However, since it's an open-source, free OCR it's extremely effective. The principal purpose that Google had Google was to provide information free to all, whether printed on paper or on the computer. It didn't matter what medium you used the most important thing was the accessibility and accessibility. Google has set out to make information accessible to the public, regardless of regardless of whether it's an electronic documents or otherwise. Through Google's optical recognition initiative, image conversion into text that could be used to index documents is easy to access and quick.

Constructing Best OCR Datasets With GTS

Global Technology Solutions (GTS) OCR has got your business covered. With its remarkable accuracy of more than 90% and fast real-time results, GTS helps businesses automate their data extraction processes. In mere seconds, the banking industry, e-commerce, digital payment services, Image Data Collection, AI Training Dataset, Video Dataset and many more can pull out the user information from any type of document by taking advantage of OCR technology. This reduces the overhead of manual data entry and time taking tasks of data collection.