OCR-WRITTEN TEXT-TO-AUDIO CONVERTOR

COMPUTER ENGINEERING

Converting text to audio using an optical character reader (OCR) with the help of state-of-the-art technology has solved the main problem of convenient communication. We know that listening is more interactive than reading a book. It is good that the system captures images and detects and recognizes text. Converting text to audio format file. OCR converts input images into editable text. allowing you to turn paper documents into editable and searchable documents. This can help reduce the physical space required to store document and significantly improve the work flow associated with those documents. We built the model using TensorFlow for text recognition after that converting TensorFlow Model to TensorFlow Lite model for using android/mobile application. We integrated the Text-to-Speech (TTS) services for extracted text to audio

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