Multimodal generative AI now spans images, audio, and time-based video workflows, and by late 2025 these capabilities are moving from research demos into production tools used by creators, marketers, and studios. This topic examines platforms that combine image generation, voice synthesis and transcription, short-form video automation, and emerging 4D (spatio‑temporal) video production into end-to-end workflows. Key offerings include Runway — an AI‑first creative suite with node-based Workflows and developer APIs for generative image and video editing; Stability AI — an enterprise multimodal platform (Dream Studio, APIs) for image, video, 3D and audio; and Adobe Firefly — a Creative Cloud‑integrated generative suite for images, vectors, effects, audio and video. Specialist tools address specific production needs: Zebracat, Pictory.ai and Fliki automate conversion of text, URLs or audio into social-ready videos; LingoSync focuses on automated transcription, translation and TTS dubbing for localization; Murf AI and Fliki provide studio-quality TTS, voice cloning and voice APIs; SongR turns prompts into lyrics, vocals and instrumental backing. Why it matters now: model performance, lower inference costs, and richer APIs have made multimodal generation practical for content pipelines, localization, and rapid prototyping. Creators are prioritizing integration (Creative Cloud and developer APIs), scalability for enterprise use cases, and workflow automation for short-form distribution. At the same time, practitioners must manage quality, identity/voice consent, and provenance. Evaluating tools by output fidelity, customization, localization support, developer integration, and governance helps teams choose the right mix for image, voice and 4D video production.