This topic covers the current generation of AI tools used to create, edit and localize images and video, from browser-based text-to-video converters to developer-focused APIs and node-based creative workflows. By late 2025, generative video and image models—including newer entrants such as Gracia AI, Theia and a growing class of “4D” video systems that model temporal and depth information—have pushed production workflows toward faster iteration, more realistic synthetic actors and tighter integration with audio, music and localization. Key categories and representative tools: Runway provides an AI-first creative platform with apps, node-based Workflows and developer APIs for chaining generative and editing steps; Fliki and InVideo focus on converting text and scripts into videos with realistic voices, avatars and templates; Pictory.ai, Zebracat and VideoIdeas.ai streamline long-form-to-short-form workflows and ideation for social platforms; LingoSync automates transcription, translation and TTS for localization; Freebeat AI targets music-video generation and synchronization; DeepfakesWeb exemplifies face-swap/deepfake tooling and the attendant ethical and provenance risks. Why it matters now: content demand for short-form, localized and personalized video continues to grow, and AI has matured enough to be integrated into end-to-end production pipelines—from ideation and scripting to rendering and dubbing. Practical concerns include workflow integration (APIs and node-based chains), quality vs. compute trade-offs, rights and consent for synthetic likenesses, and the need for provenance and moderation tools. This landscape favors platforms that combine accessibility (browser apps, templates), developer extensibility (APIs, SDKs), and safeguards for ethical use.