https://researchberg.com/index.php/araic <p>The Applied Research in Artificial Intelligence and Cloud Computing strives to convey the most current research findings and breakthroughs in the field of applied AI and cloud comuting. The journal focuses on how AI and cloud computing may be used in sectors as diverse as science, architecture, commerce, medical, automation, production, art, management, finance, and more, this Special Issue . We would like to extend an invitation to academics and professionals to submit high-quality research and review papers. </p> ResearchBerg en-US Applied Research in Artificial Intelligence and Cloud Computing https://researchberg.com/index.php/araic/article/view/171 <p>The adoption of AI-based Optical Character Recognition (OCR) and Generative AI can streamline document processing, shifting from manual to automated digital methods, thus increasing efficiency and accuracy in data handling. This study examines the applications of these technologies across various stages of document management. Initially, OCR technology can scan and digitize physical documents, transforming text images into machine-encoded text. This process is essential for converting paper-based records into digital formats. Additionally, OCR can decipher handwritten notes, making it invaluable for processing historical documents and manually filled forms. In the subsequent phase, these technologies can categorize and organize data. AI algorithms, combined with OCR, can classify text into various categories such as invoices, legal documents, or personal letters, thereby streamlining document sorting and retrieval. Generative AI can further enhance this process by producing concise summaries of lengthy documents, enabling quick comprehension without the need to read the entire text. Error detection and correction are also critical areas where these technologies can be applied. Despite its effectiveness, OCR may misinterpret characters, and AI algorithms can identify these errors by comparing the scanned text against language models. Generative AI can then suggest corrections, improving the accuracy of the digitized text. Moreover, the combination of OCR and Generative AI can be employed for data extraction and analysis, extracting specific information from documents, and conducting sentiment analysis on texts like customer reviews to gain insights into customer opinions. In terms of language translation and localization, Generative AI can translate digitized text into various languages and adapt content for different cultural contexts, crucial for international businesses. Document accessibility is enhanced as AI can convert text to speech and introduce interactive elements, making documents accessible to visually impaired users. Furthermore, in ensuring security and compliance, these technologies can identify and redact sensitive information to comply with privacy laws and verify the authenticity of documents to detect alterations. Finally, AI can generate customizable document templates and content, tailoring documents to specific needs and preferences, demonstrating the extensive impact of AI-based OCR and Generative AI in modern document processing and management.</p> Tarek Ahmed Ibrahim Abdelaziz Urfa Fazil Copyright (c) 2023 Applied Research in Artificial Intelligence and Cloud Computing https://creativecommons.org/licenses/by-nc-nd/4.0 2023-11-08 2023-11-08 6 11 1 16