OCR based Image Text to Speech Conversion using Python

  • Chalamala Sri Sai Ram, Dr. V.S. R. K. Sharma

Abstract

Optical Character Recognition (OCR Optical Character Recognition (OCR) assumes a significant part in report picture handling. Acknowledgment of characters in a shrewd manner is acquiring significance in the advanced days, as gigantic heaps of information is produced, and it should be handled and controlled. OCR disposes of the need of retyping if there should arise an occurrence of deletion of a significant advanced record unintentionally, it stimulates computerized look, empowers quicker content editing, sets aside the extra room with the utilization of proficient calculation. Availability of OCR to the outwardly impeded is an incredible advancement, Where clients can examine books, magazines, approaching sends or different projects. OCR can likewise be combined with a voice-over utility, or voice synthesizer, that peruses out the text perceived optically by the product. OCR likewise has its own bottlenecks. It may not perceive complex text, numerical factors, manually written contents. Very good quality OCR utilities are utilized in regions where required, yet it accompanies an extra computational expense.

Published
2021-12-01
How to Cite
Chalamala Sri Sai Ram, Dr. V.S. R. K. Sharma. (2021). OCR based Image Text to Speech Conversion using Python. Design Engineering, 1103 - 1115. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/7057
Section
Articles