This topic surveys generative AI platforms used across media and entertainment workflows — from concept-to-publish video creation to localization, music generation and audience-facing communities — in the industry environment shaped by recent studio–AI partnerships and rising attention to rights, safety and distribution. As of 2026, major deals between studios and model providers have accelerated adoption of synthetic media while raising practical questions about licensing, attribution and human oversight. Key categories covered include generative video tools and video-creation platforms (Runway, InVideo, Pictory.ai, Zebracat, Fliki), localization and dubbing (LingoSync), synthetic music (SongR), repurposing/publishing pipelines (Repurpose.io), and creator/monetization platforms (FanHero). Runway is positioned for image/video generation, node-based workflows and developer APIs for production pipelines; InVideo and Pictory.ai focus on prompt-driven and text-to-video conversion for short-form and branded content; Zebracat and Fliki optimize rapid social clips and multilingual voiceovers; LingoSync automates transcription, translation and TTS for scale; SongR generates lyrics, vocals and backing tracks; Repurpose.io automates cross-platform publishing; FanHero adds white‑label community and live features. Supporting tools (Writesonic, Copy.ai, MarketMuse) help ideation, scripts and SEO-driven distribution planning. The overview emphasizes practical trade-offs: speed vs. control, model governance and rights clearance, quality assurance and human-in-the-loop review. For teams adopting these tools, common patterns are chained node/API workflows, template-driven social production, automated localization, and integrated republishing. Evaluations should weigh output fidelity, licensing terms, integration capabilities and moderation controls to align generative tooling with editorial standards and distribution requirements.