Frequently, situations arise where texts are embedded within images and a need arises to copy these texts for various purposes. Regardless of the nature of the text – a simple message, an email address, or a detailed write-up, the techniques detailed below ensure the extraction of this text swiftly and efficiently whilst maintaining the format of the original text.
The OnlineOCR.net allows you to use an OCR converter to extract text from images. OnlineOCR.net is a tool which runs on various operating systems such as Windows, Mac and Linux. Device specificity is not a problem as the tool operates efficiently on all devices.
To make use of OnlineOCR.net: Visit the site Opt for the image to text converter from the topmost bar Upload several images at a time to extract the embedded text Click on Convert Download the outcome in text file format or easily copy to clipboard
Google’s Lens technology offers a simple way to extract text from within image files. This globally used application is compatible with Android, iOS, macOS, and Windows platforms.
To extract text with Google Lens:
The process involved in this is:
An added feature is the ability to call phone numbers displayed within images. The process is the same as previously described, with an added window prompt to call the displayed number. In the case of scanning a website, a simple click will direct to that site. For texts presented in a foreign language:
The methods for extracting text from images are diverse and cater to a variety of needs and technological environments. From utilizing OnlineOCR.net, a versatile and user-friendly online OCR converter compatible with multiple operating systems, to leveraging Google Lens for its simplicity and wide device compatibility, each method provides a reliable way to capture text from images. Additionally, the built-in features of iOS devices offer a straightforward approach for iPhone and iPad users, complete with the added functionality of interacting with phone numbers and URLs within images, and even translating foreign language text.
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