Send to Translate Home: To get more information, tap Send to Translate Home.Listen: To get Translate to read your translated text, tap Listen.Copy text: To copy the text, select the text that you’d like to copy and tap Copy text.At the bottom, choose an option from the carousel:.Select the part of the text on which you want to take action.Some of these systems can even reproduce the original page's format, including images, columns, and other non-textual components.Once the text in an image is translated, you can do things like copy the text, get it read aloud, or send it to Translate Home for more information.

However, more advanced systems are now widely available that can achieve high levels of accuracy in recognizing most fonts, and can accept a variety of digital image file formats as input. In the past, early versions of OCR required individual training with images of each character and could only recognize one font at a time.

OCR is a subject of research in the fields of artificial intelligence, pattern recognition, and computer vision. OCR is widely used for data entry and machine processes such as text-to-speech, machine translation, cognitive computing, and text and data mining. It converts images of typed, printed, or handwritten text into machine-encoded text, making it easier to edit, search, store, and display electronically. OCR, or optical character recognition, is a popular technology used for digitizing printed text records, such as invoices, bank statements, passport documents, business cards, and mail. This can be done by scanning a document, taking a photo of it, capturing text from a scene-photo (such as a picture of a sign or billboard), or extracting text from subtitle overlays on images (such as those used in television broadcasts). Optical character recognition (OCR) refers to the process of electronically or mechanically converting images of printed, handwritten, or typed text into machine-encoded text.

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