Converting Image Text to Speech Using Raspberry Pi

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Wydyanto, Norshita Mat Nayan

Abstract

This project aims to develop a system that can convert image text into speech using Raspberry Pi. This system will use optical character recognition (OCR) technology to extract text from images, which will then be converted into speech using text-to-speech software. (TTS). (TTS). This will provide a valuable tool for individuals with visual impairments or those who have difficulty reading text in images. This research explores a Raspberry Pi-based device that can translate English into 53 dialects, using a camera module, OCR motor, Google Speech API, and Microsoft Translator. This feature is accessible to visually impaired individuals and those who do not speak English. Raspberry Pi, with the Tesseract OCR engine, Google Voice API, Microsoft Translator, and camera board, enables real-time text translation on images, making it more accessible and inclusive for users with visual impairments or language barriers.

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