Image to Text – OCR Online – Document Scanner –SL

Image to Text – OCR Online – Document Scanner –SL Apps Lab is a useful app that contain number of features which includes: text scanner, OCR text scanner, photo scanner, JPG to text, PNG text, picture to text, image to word converter, image to pdf converter, image to text converter, photo to text, scanned pdf to text, extract text from image, text from photo, camscanner to text converter and scan text all format from image to text frequently.

Now a day’s time is a precious for everyone. In this regard, image to text and OCR Online with document scanner app helpful to take text from image or copy text from photo and save text in your document or directly send to your friends or family on few clicks easily.
Furthermore, you can save your time to rewrite text a magazine, book and any format of wording text with that OCR (Optical Character Recognition) scanner or OCR reader to get text from image or any document to use this text for your own purpose.

IN addition you can also any image text into the pdf format. So you can say that this app is also text to pdf converter app. Photo to pdf app easy to use and smoothly work. This app is easy your written work you can also change any text into pdf format with this image to pdf converter app.

What is OCR and how to work?
Suppose you wanted to digitize a magazine article or a printed contract. You could spend hours retyping and then correcting misprints. Or you could convert all the required materials into digital format in few clicks by using an image scanner (or a digital camscanner), image to pdf converter, text scanner app, convert OCR to word and OCR text scanner app to get text from particular document or image to convert into text format. If you required specific portion of text you can easily copy relevant text and to save text where you want or forward to others.

Let’s take a look on how ORC Reader OCR recognizes text. First, the program analyzes the structure of document image. It divides the page into elements such as blocks of texts, tables, images, etc. The lines are divided into words and then - into characters. Once the characters have been singled out, the program compares them with a set of pattern images. It advances numerous hypotheses about what this character is. Basing on these hypotheses the program analyzes different variants of breaking of lines into words and words into characters.

After processing huge number of such probabilistic hypotheses, the program finally takes the decision, presenting you the recognized text.
In addition, ORC Reader provides dictionary support for (1) language. This enables secondary analysis of the text elements on word level. With dictionary support, the program ensures even more accurate analysis and recognition of documents and simplifies further verification of recognition results.