Combating Digital Media Piracy With Agentic AI: Leveraging Video Transcription And Character Recognition For Automated Enforcement

Authors

  • Chandrani Mukherjee Author

DOI:

https://doi.org/10.64252/bn6e4562

Keywords:

Agentic AI, Digital Piracy, Video Transcription, Optical Character Recognition (OCR), Content Protection, Digital Rights Management, Automated Enforcement

Abstract

Digital media piracy represents an ongoing menace for content producers, distributors, and intellectual property rights holders, weakening the digital economy and creative sectors. Conventional anti-piracy solutions frequently prove inadequate due to their reactive nature, limited scalability, and inability to keep up with innovative piracy methods. This article presents a new, proactive model for fighting digital media piracy by leveraging Agentic Artificial Intelligence (AI)—a self-directed and autonomous system capable of adaptive decision-making and action. Combining video transcription and optical character recognition (OCR) technologies, the system proposed herein supports real-time monitoring, detection, and enforcement of copyright infringement across digital platforms. The transcription module translates audio content into text to allow semantic analysis and cross-checking with known copyrighted content, while the OCR module detects embedded or overlaid text—even watermarks, subtitles, and credits—that can be indicative of pirated content. Together, these modules increase the system's ability to detect unauthorized use even in modified or repurposed forms. Experimental tests show that the framework excels in terms of accuracy and latency in detecting infringing content across different media formats. Automated enforcement protocols—such as content flagging, takedown notices, and evidence archiving—are also built into the system, minimizing the workload on human operators. This research highlights the potential of Agentic AI to transform digital rights management by making large-scale, intelligent, and ethical anti-piracy enforcement a reality. The approach proposed herein sets the stage for future research on AI-based content protection and establishes a foundation for joint cooperation among technology providers, content producers, and legal authorities in the continuous battle against digital media piracy

Downloads

Download data is not yet available.

Downloads

Published

2025-08-11

Issue

Section

Articles

How to Cite

Combating Digital Media Piracy With Agentic AI: Leveraging Video Transcription And Character Recognition For Automated Enforcement. (2025). International Journal of Environmental Sciences, 953-963. https://doi.org/10.64252/bn6e4562