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Vidu

Vidu

Cinematic AI video.

FreemiumVideo
Visit vidu.com
Monthly visits
5M
Growth
+90.0%
Rating
4.1 (95)

About Vidu

Vidu is an AI video generation platform developed by Shengshu Technology, a Shanghai-based AI research company. The tool takes text prompts, images, or reference characters and converts them into short video clips with a cinematic visual style. Users can describe a scene in natural language and Vidu renders it as a polished video, handling motion, lighting, and composition without requiring manual editing or production skills. The platform also supports image-to-video generation, allowing users to animate a still image into a moving sequence. The main use cases include content creation for social media, concept visualization for filmmakers and creative directors, marketing material production, and rapid prototyping of visual ideas. Vidu places particular emphasis on character consistency, meaning a specific person or figure can appear across multiple generated clips without drifting in appearance — a practical feature for anyone building a narrative or branded content series. The platform targets creative professionals, independent filmmakers, marketers, and general users who want high-quality video output without access to a full production pipeline. Its cinematic framing positions it toward users who care about visual quality rather than purely functional or instructional video. Vidu operates on a credit-based subscription model, which is common across AI video generators. Free access with limited credits is available for new users, while paid tiers unlock higher resolution outputs, longer clip durations, faster generation queues, and greater monthly credit allowances. The platform is web-based and does not require software installation. As a product from Shengshu Tech, Vidu reflects a wave of competitive AI video tools emerging from Chinese AI labs, sitting alongside international competitors like Runway and Kling. Its differentiation rests on cinematic output quality and character consistency rather than breadth of editing features, making it a focused tool for users with specific visual storytelling goals.

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