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How Scan a Document and Edit it?


Assume you have a large number of handwritten notes that you want to save in a computer file and edit from time to time. You might spend the time typing the data in by hand, but there’s a much faster way. You can scan the text and have the words automatically translated into editable computerized letters and words. You’ll need Optical Character Recognition (OCR) program to do this.

Making Use of OCR Software for Your Scanner

Step 1

Open your OCR software program and configure it to accept newly scanned files.

Step 2

Import your document into your computer through scanning. Make sure the page you want to scan is as clear as possible, with dark ink, so the scanner can pick up on every letter. If the piece is handwritten rather than typed, the words should be printed (written in different, unconnected letters) if possible, since many OCR programs have difficulty deciphering script (cursive) handwriting.

Step 3

Choose your preferred output format (such as RTF, Word, PowerPoint, Excel, Text, or PDF), then allow the OCR program to convert the file and save it to your hard drive.

Step 4

Start the word processing software for the converted text. Open the file and make changes to your text. You will need to do extensive editing depending on the quality of the scan and OCR applications (for example, “ri” may have been erroneously translated as “n”). Keep your spell-checker on when editing to catch any errors.

The Google Way

Step 1

Google also has an OCR scheme. When you find a website in Google that is directly connected to a PDF file, you have the option of reading it as a PDF or in HTML (text). So, to begin, scan in your text.

Step 2

Convert the text to PDF format. Simply save the image as a PDF file in your image editing program to accomplish this (like Adobe Photoshop). Alternatively, on a Mac running OSX, select “Print” and then “Save as PDF.”

Step 3

Make the PDF file public by uploading it to your website hosting account (or using a free website hosting service like Geocities). Make a note of the exact URL to the PDF file.

Step 4

Submit the connection address to Google Submit (see Resources) to have it indexed and appear in Google search results (this could take a couple of days).

Step 5

Enter the exact web connection to the PDF file into the Google search engine to find it. Select the option to save it as an HTML file.

Step 6

To edit the text in your HTML file, copy and paste it into Microsoft Word or another word processing software.

What is the best way to edit a scanned document?

We are often needed to scan a document (basically an image file) and edit it. This could be relatively simple if the document is short, or it could be lengthy and time-consuming if the document is long.

As a result, we need some kind of program that can turn images into editable text files. This will save us the time and effort of typing out the whole document and then editing it. This article will go into how to edit a scanned text.

Optical Character Recognition (OCR) is a technology that helps us to transform image files into word documents. This technology has been around for a while and is only getting better. The name suggests that the technology is used to recognize characters in a text. Let’s take a look at how this is done.

How does optical character recognition (OCR) work?

In general, there are two main ways in which OCR functions. These are their names:

Pattern Recognition: This is a basic method of character recognition. The input character is read and matched to all of the characters in the database. The one that fits the input character is then chosen, processed, and outputted. The main disadvantage of this approach is that if the input character is unclear, the output will be incorrect.

Feature Recognition: The feature recognition approach was developed to address the above-mentioned drawback of the pattern recognition technique. In this case, rather than contrasting the whole character, the strokes or characteristics of the individual characters are contrasted. This means that the proper character is identified. Even though the input quality is poor in this situation, the output is reasonably reliable. As a result, this approach is the most commonly used in OCR applications.

How to Make Use of OCR?

OCR is a technology that can’t transform something on its own. As a result, tools that harness the power of OCR and perform the actual conversion work have been created. They are known as OCR software. There are several free OCR resources available online. In addition, there are two types of OCR tools: those that can be accessed online and those that must be downloaded. We’ll take a look at all of them.

Online OCR software

There are several online OCR resources. A quick Google search would bring up a plethora of free OCR software. Let’s take a look at one of them.

OnlineOCR (http://www.onlineocr.net/) is a website that provides information about online OCR. is an example of a free tool. To convert JPG files to Image files, go to the website and follow the on-screen instructions.

OCR software was downloaded.

There is also a lot of OCR software that can be downloaded and used for the conversion process. The main benefit of using downloaded OCR tools is that they do not need an internet connection to work. Again, there is a plethora of free OCR software available, but to prevent confusion, let us concentrate on one software, JPG to Word Converter. Alternatively, click on this page.

Install the program on your PC once the download is complete. The software’s GUI (Graphical User Interface) is not difficult to use. The software’s graphical user interface (GUI) is shown below.

To convert, launch the program and select the file to be converted. The screen will look like this after you open it:

Next, use Word as the output format:

Then press the save button. The file will be converted before being opened in Microsoft Office.

This app can also search files from a scanner and offers the best security features such as password authentication and watermarking.


Always keep in mind that an OCR converter’s output quality and accuracy are just as good as the input file quality. So, if the quality of the input file is poor, the output file will be poor and will not accurately reflect the input file.

How to Get Text Out of Images on iPhone and iPad

Have you ever tried to copy text from a picture you came across? It may be an interesting quote in a social media image article, a significant paragraph of information in a magazine or journal, or simply some numbers in a table on a piece of paper that you photographed to remember later. Wouldn’t it be great if your iPhone or iPad could automatically extract and copy text from images?

Scanner Pro is an iPhone and iPad document scanner app that allows you to make high-quality scans of images using your device’s cameras. It has an integrated powerful OCR function that allows you to extract and copy text from images scanned with the app. Here’s a step-by-step guide to extracting and copying text from an image on iPhone and iPad with Scanner Pro and its powerful iPhone OCR feature.

How to Get Text Out of Images on an iPhone or iPad:

Launch the app after downloading it from the App Store.

To begin a new scan, press the orange + button.

Take a snapshot of the object from which you want to remove text, or use the Gallery icon to select an image from the Photos app.

Scanner Pro can detect picture borders automatically and produce a high-quality scanned image.

To view all of the text extracted from your paper, go to the Text tab at the top. Scanner Pro recognizes text on the document automatically using OCR, enabling you to extract and copy text from the scanned PDF.

Scanner Pro is a portable scanner app for iPhones and iPads that is quick and simple to use. Create high-quality digital scans quickly by taking a picture and converting them to PDFs or JPGs to share them anywhere. And, thanks to its amazing OCR capabilities, Scanner Pro 8 can easily extract text from documents.

Get Scanner Pro and upgrade to the best iPhone and iPad scanner software.


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