AI-Short-Video-Engine orchestrates multiple AI modules in an end-to-end pipeline to transform user-defined text prompts into polished short videos. First, the system leverages large language models to generate a storyboard and script. Next, Stable Diffusion creates scene artwork, while bark provides realistic voice narration. The engine assembles images, text overlays, and audio into a cohesive video, adding transitions and background music automatically. Its plugin-based architecture allows customization of each stage: from swapping in alternative text-to-image or TTS models to adjusting video resolution and style templates. Deployed via Docker or native Python, it offers both CLI commands and RESTful API endpoints, enabling developers to integrate AI-driven video production into existing workflows seamlessly.

Powered by OpenAI GPT models and integrated with text-to-speech services, CrewAI YouTube AI Agents automate every step of video production. Starting with your topic input, it researches keywords, crafts engaging scripts, and optimizes titles and descriptions for SEO. It then generates custom thumbnail images using AI imaging models and produces natural-sounding voiceovers. The framework assembles video segments—combining text overlays, visuals, and audio—into a final video file. Metadata tags are auto-generated, and the agent uploads and schedules the finished video on YouTube via API. With customization options for style, tone, and branding, CrewAI provides a scalable, end-to-end solution to accelerate content pipelines and maintain consistent quality across your YouTube channel.