Locators are utilized alongside scene detection, frame-based indexing, and the creation of rough cuts to enhance media processing. Media analytics incorporates technologies like speech-to-text and image as well as face recognition for improved content analysis. The MUX system allows for the seamless matching of MXF video and audio files directly through web browsers. By generating scenes from collected clips and sub-clips, content creators can efficiently craft their projects. Live logging facilitates the straightforward indexing of candidates, actions, and hashtags during live streams on both mobile devices and desktops. Additionally, it supports rule-based media recording that captures all technical metadata and produces proxy files that meet the specifications required by cutting systems. The workflow encompasses every stage from planning and ingesting to indexing, sharing, distributing, and archiving content. A customizable workflow further enhances the process of planning, recording, indexing, sharing, distributing, and archiving media. It enables rapid sharing of media areas and distribution across social media platforms, allowing users to subscribe to various media content. Cognitive media coverage is achieved through the integration of OCR, speech-to-text, and image as well as face recognition technologies, ensuring comprehensive content understanding. Furthermore, assessing the quality of media for specific concerns, such as print or web, is essential for maintaining high standards and ensuring optimal viewer experience. Monitoring these quality aspects can significantly impact the effectiveness of media delivery and audience engagement.