A unified workspace to generate and edit AI videos
Prism is an AI video creation platform for making short-form videos without using a dozen different tools. Generate image and video assets from multiple models, organize them in a project, and assemble everything in a timeline editor without having to download files to local storage. Prism also supports templates and one-click asset recreation so you can reuse presets from us or other community members instead of rebuilding each asset from scratch.
Prism explicitly grants commercial usage rights for all generated content. Users can create videos for marketing, social media, client projects, and commercial applications without licensing restrictions, making it suitable for agencies and freelancers serving paying clients.
Prism includes specialized real estate tools: virtual staging for furnishing photos, camera movement to create dynamic property tours from static images, visual effects for marketing enhancement, and property montage templates. These features allow agents to generate professional listing content without photography or videography costs.
Prism provides unlimited generations on Pro and Scale plans with native editing, lip sync, and timeline tools optimized for short-form content. Users can generate multiple video variants, apply face swap and background swap effects, and publish directly without switching between applications, enabling rapid content iteration.
Prism enables users to create campaign-ready videos from text prompts using multiple AI models (Kling, Veo, Sora, Seedance) in one workspace. Users can generate product visuals, UGC-style clips, and brand-safe variants across formats, reducing production time from weeks to days while maintaining on-brand consistency through templates and editing tools.
Prism integrates Google Veo, Kling, Sora, Flux, and other leading models in a single subscription with unified credit system. Users can switch between models within one workflow to find optimal styles for projects, eliminating context-switching and reducing tool fragmentation costs.