OCR Editor - Text from Image

Online OCR editor to extract the text from images, pdf and word files.

Online OCR editor to extract the text from images, pdf and word files. OCR text extractor, or image to text converter extracts text from images and videos. It uses the optical character recognition (OCR) technology to accurately convert images into text. It supports text extraction from all the image. Why Image to Text Converter is useful? Are you looking to extract text from images or PDFs? If yes, then the OCR editor is the right tool for you. The OCR editor converts any image on your screen to editable text without retyping. This tool is very helpful if someone needs to reuse text in digital documents, emails, and reports. It can convert any kind of image to text, including PDF files, charts, diagrams, and screenshots. Key Features Of Online OCR Editor -Converts images to text with full accuracy -Supports scanned documents and .jpg/.jpeg and .png image formats -Easily convert low resolution images to text -Keeps the same text format -Easy to use -Simple user interface - You can translate it to your desired language. Advantages of Using OCR Image to Text Converter The OCR Editor saves a lot of time for the users because they don't have to rewrite the entire document to have a digital, editable copy on their computer. After digitizing the files, users can search the document for a particular keyword. This tool can recognize text in images, documents, and handwritten notes. This tool can be very useful for professionals in the industry, such as lawyers, students, doctors, teachers, and others. Version 3.2.2 >> Fixes issue with multiple ocr popup Version 3.2.0 >> Added loader in content page of ocr Version 3.1.0 >> Redirect from extension to a weblink. Easy sharing. Version 3.0.0 >> Extended support to convert image from different language to the desired one >> Change in the feedback form link. Version 2.0.0 >> Added multi language support >> Option to upload images added Version 1.1.0 >> Bugs fixes. In some cases users where unable to select the part of screen.