Image To Text-OCR Text Scanner 1.15

When you save your favorite citations or quotes from books or magazines, it can be quite challenging to manually input them using a smartphone keyboard. However, now there is a solution available through our free application.

Typing out text from photos or book content on editing tools can be laborious, but with optical character recognition (OCR), you can save valuable time. By simply opening our free application and scanning the desired text or image, you can instantly convert it. Even without an internet connection, you can utilize our Image to Text (OCR) scanner offline.

Our OCR-powered application accurately recognizes characters from photographs, books, and more with a high level of precision (99%+). It essentially transforms your mobile device into a content scanner and converter, allowing you to extract text from images seamlessly.

One of the key features of OCR technology is converting JPG files to text format, and our application excels at this task. Whether it's converting JPG to text, extracting text from images, or serving as a text scanner, our app covers a vast range of functionalities.

• This is a free document scanner and converter application.
• Considered one of the premier content scanners with OCR capabilities within the realm of Android applications.
• You can effectively convert your device into a mobile text scanner.

Key functionalities of our app include Optical Character Recognition (OCR), extracting text from images and pictures, cropping images for precise content selection, editing the extracted content, copying it to the clipboard for use in other apps, sharing it via email or social media platforms, saving extracted content as PDF files, multi-language support, and converting JPG files to text. This versatile tool caters to various users such as students, professionals, and journalists.

If you encounter any bugs, issues, or have feature requests, please feel free to reach out via email. A couple of important reminders are to capture sharp images with good lighting for optimal results and note that the OCR functionality does not support reading handwritten text.