This topic covers consumer AI apps and experiences that use image- and video-generative models to create, edit and package visual content for mobile and social consumption. By late 2025, tooling spans lightweight mobile image editors and metaphysical/experiential apps, to cloud and desktop platforms that produce 4D/volumetric video and short-form social clips. Key categories include AI Image Generators for stills and edits, Generative Video Tools that synthesize or extend footage, and Video Creation Tools that convert text, audio or long-form content into branded shorts. Representative tools illustrate the landscape: Runway combines node-based workflows, consumer apps and developer APIs for generative image and video editing; Zebracat and Pictory.ai focus on rapid conversion of text or audio into ready-to-post social videos; Fliki provides text-to-video and audio with realistic AI voices and multilingual support; InVideo offers prompt-driven templates, AI actors and voiceovers; SongR generates music and vocal accompaniments from text prompts; and DeepfakesWeb exposes face-swap/deepfake functionality via cloud and API services. Trends shaping relevance include pervasive short-form social demand, improved on-device inference, broader availability of voice cloning and avatar tools, and growing interest in volumetric or “4D” capture/replication for AR/VR. Consumer metaphysical apps—using generative visuals and audio for meditation, ritual simulation or speculative storytelling—illustrate niche use cases but also raise questions about authenticity and ethical guardrails. Practical considerations in 2025 emphasize moderation, consent, provenance (watermarking/metadata), platform policies and developer APIs that enable integration. Understanding these tools helps creators, product teams and policymakers weigh creative possibilities against safety, legal and UX trade-offs in consumer AI experiences.