• Zainab Shaikh
• Nisha Pawar
• Poonam Shinde

In this growing age of technology, people search for methods that will make their work easy. For example, an individual wants to extract text from images and save the text to modify it for their own purpose. It can be very challenging to detect text from images due to its complex background and noise. This can be done using Optical Character Recognition with the help of Tesseract OCR Engine. The objective of this technique is to design a text detection system which will be able to detect text from images in efficient manner. OCR is well known for its use in applications to detect text from the images. The features of this proposed system doesn’t end here, the extracted text can also be converted into audio format to help visually impaired people and also normal people who prefer to hear the information instead of reading it.

Optical Character Recognition, Text Detection, Text Recognition, Tesseract, Text-to-Speech

"Image to Text and Audio Conversion Using Tesseract", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.646-652, May-2019, Available :http://www.jetir.org/papers/JETIR1905897.pdf

"Image to Text and Audio Conversion Using Tesseract", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp646-652, May-2019, Available at : http://www.jetir.org/papers/JETIR1905897.pdf