Paper Key : IRJ************497
Author: Bhushan Manohar Deshmukh
Date Published: 28 Oct 2023
Abstract
ABSTRACT Image-to-text conversion, a subfield of computer vision and natural language processing, has gained substantial attention in recent years. This research paper delves into the advancements and challenges in this domain, exploring the development of models that can automatically transform visual content into human-readable text. We discuss various techniques, including convolutional neural networks and attention mechanisms, which enable the extraction of semantic information from images. We also address real-world applications such as image captioning, scene description, and document digitization. The paper sheds light on the promising potential of image-to-text conversion in areas like accessibility, content indexing, and human-computer interaction, as well as the ongoing research efforts to improve accuracy, multilingual support, and model interpretability.Keywords: Image-to-Text Conversion, Computer Vision, Natural Language Processing, Image Captioning, Visual Content Analysis, Deep Learning, Accessibility.