Text Recognition in Images and Converting Recognized Text to Speech using python

• Python
• Machine Learning

The recent technological advancements in the field of Image Processing and Natural Language Processing are focusing on developing smart systems to improve the quality of life. In this project, an effective approach is suggested for text recognition and extraction from images and text to speech conversion. The incoming image is firstly enhanced by employing gray scale conversion. The two library files are used in the project , one is Google vision API it is used to extract the text from images and another is gTTS?(Google Text-to-Speech), a Python library and CLI tool to interface with Google Translates text-to-speech API that is used to convert the extracted text to speech. The proposed algorithm is tested on images representing different scenes ranging from documents to natural scenes. Promising results have been reported which prove the accuracy and robustness of the proposed algorithm and encourage its practical implementation in real world scenarios.