An image to text converter is a crazy and very helpful technology to play with. Extracting text from any picture or document and making it editable is known as an image to text conversion or text extraction from an image.
Image to text conversion technology is helping out people in the most effective way. People are using a photo to text converter for their personal use as well as it is helping organisations to convert their whole manual data entries into digital format.
Image to text technology uses OCR (Optical Character Recognition) to detect the text written in images.
Image to text extractors works to assist with artificial intelligence algorithms. It is efficient enough to detect text of any font and or even if the picture is blurry.
An OCR-based image to text generator captures the font style and pattern of text on images.
In the second step, it matches these patterns with thousands of patterns saved already in the database. After all, it gives you the most appropriate output in the form of text. This text can be copied and used anywhere.
There are hundreds of useful applications of an image to text technology. Some handy uses of it are written below.
Trillions of tons of paper are used every year by big organisations. High consumption of paper is injurious to our environment as paper is made from wood.
Organisations have hundreds and thousands of paper bundles, including employee data, payroll information, reports, letters, applications, and much more.
Handling these documents can be a severe issue for them. Here comes the role of the image to text technology in document management.
Every big organisation has now shifted its systems online. Their online software can handle the data digitally in a more appropriate manner.
But here comes the problem of converting documents into digital text. As a solution to this problem, an image to text converter can be very useful.
Extracting the text from the paper manually and adding it to the software can take months and will cost you a lot.
The simplest way to perform this task is to click pictures of documents and upload them to an image to text converter.
This technology will instantly generate the text written on the images into a digital format that can be copied and used anywhere.
You can use this technology to convert old documents to text as well as the documents coming on a daily basis. But ultimately you should shift all your information to digital format and decrease paper usage.
Image to text converters are online tools for extracting text from images that can be copied and used anywhere.
We have tested a few online images to-text generators, and most of them work similarly. Hence, here are a few easy steps to use any picture to text converter.
Step 1:
For extracting text from an image, you have to first upload the image and make sure it has some text in it. Some image to text converters allows you to process multiple images in a single go.
Moreover, in a few text extractors, you can also provide a URL leading to the image or attach it using your Google drive.
Step 2:
Press the “Extract Now” or “Submit” button to start processing the extraction.
Step 3:
In a short time, the text will be extracted from the images and shown in the respective output boxes. You can copy or export this text freely in most of the tools.
Below are the few perks of using the image to text technology mentioned.
Image to text technology is helping many people in every field, whether they are students, workers, writers, businessmen, etc.
Try this insane image to text technology in your daily life tasks and let us know your experience with it. Still, have some confusion about this technology? Read the FAQs down below.
Data entry is usually known as extracting text from documents and inserting it into excel sheets or some software. Image to text technology can help in extracting the text from pages, this text can be copied and pasted freely into excel sheets.
Yes! Most of the converters are freely available.
Yes! They are safe to use but make sure to use a reputable website to convert your sensitive images.