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  Nowadays, as information controls are handled daily, from time to time there is a large amount of information. Data can be in any format – from documents to images and sometimes extracting valuable information from them may take a lot of time. That is where the Image to Text OCR (Optical Character Recognition) solution comes into play. I have used it over the years and it has become a handy tool in text recognition that turns image-based text into clean and usable forms of information. Time to look into the development of this awesome technology, the advantages and disadvantages of using it, and how it is revolutionizing the professional life of all those data consumers. What is Image-to-Text OCR? Image-to-text OCR technology enables users to obtain the image’s clear and editable text content. Whether it is scanned text in the form of a document, a photo of a book, or any other picture where text is written, OCR scans through it for you, converts the data, and processes it to be m

  Has something like the following ever crossed your mind? How many reports, documents, or articles containing vast amounts of information do we have to go through each day? Suppose one could take all the hours spent reading and give you the gist in the first five minutes in addition to other key points. This is where the Content Summarization AI comes in, so the new way of information consumption will be faster, smarter, and more effective. The Growing Need for Summarizing Long Texts The current world runs with a lot of pace and direction. Readers, students, professionals, and business managers meandering through these extended texts are exposed to challenged reading processes daily. In school projects, work documents, write-ups, research documents, business proposals, and technical papers – the problem remains the same; how to get through a document in the shortest time possible without missing out on important points. It is here that Content Summarization AI is most valuable, pro