What type of recognition converts scanned documents into editable text?

Optical character recognition (OCR) is the technology that converts different types of documents, such as scanned paper documents, PDF files, or images taken by a digital camera, into editable and searchable data. OCR works by analyzing the shapes of characters in scanned images and recognizing them as letters, numbers, and symbols, which can then be converted into machine-readable text.

In the context of document management and digitization, OCR is particularly important as it allows organizations to transform physical documents into digital formats that can be easily edited, searched, and stored. This not only enhances efficiency but also supports better data management practices within an organization, making it accessible for further processing.

In contrast, voice recognition involves interpreting spoken language into text; image recognition focuses on identifying and understanding content within images rather than text, and text-to-speech conversion converts written text into spoken words, which does not involve converting scanned documents into editable formats. Thus, OCR is the only technology among the choices that is specifically designed to convert scanned content into editable text.