Certainly! Here are some free tools you can use to convert text in images to editable text using OCR (Optical Character Recognition) technology:
- Google Drive: Google Drive offers a built-in OCR feature that can extract text from images and convert it into editable text. Simply upload the image containing the text to Google Drive, right-click on the image file, select “Open with” > “Google Docs,” and Google will perform OCR to extract the text.
- OnlineOCR.net: OnlineOCR.net is a free online OCR service that supports multiple languages. You can upload an image file or provide the URL of an image, and it will convert the text within the image into editable text. It supports various output formats such as Word, Excel, and plain text.
- Microsoft OneNote: If you have Microsoft OneNote installed on your computer or mobile device, you can use its OCR capabilities to extract text from images. Simply create a new note, insert the image containing the text, right-click on the image, and select “Copy Text from Picture.” The extracted text can then be pasted into an editable document.
- OnlineOCR.io: OnlineOCR.io is another free online OCR service that can convert text in images to editable text. It supports over 46 languages and offers various output formats, including Word, Excel, and plain text. You can upload an image file or provide the URL of an image for conversion.
- Tesseract OCR: Tesseract OCR is an open-source OCR engine that you can use locally on your computer. It supports over 100 languages and can be integrated into various programming languages. You can find Tesseract OCR libraries and wrappers for different programming languages like Python, Java, and C++. With some programming knowledge, you can develop your own OCR solution using Tesseract.
Remember to review the terms of service and privacy policy of each tool before using them, as OCR tools may store or process your data in different ways. Additionally, keep in mind that the accuracy of the OCR results may vary depending on the quality and clarity of the image, as well as the complexity of the text and language involved.
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