Decart.ai

Decart.ai

Decart AI – Real-Time Generative Video & Image Platform

About Decart.ai

Decart AI is a real-time generative media platform built to power live, interactive video and image experiences for products, games, events, and tools. It focuses on ultra-low-latency video generation and transformation so that visual changes appear instantly, enabling new forms of creativity where users can see AI-driven effects as they act, speak, or move on camera. The platform combines optimized diffusion-based models with a high-performance infrastructure designed specifically for live streaming and continuous video, rather than slow, clip-based rendering.​ At its core, Decart provides models for text-to-video, video-to-video, image-to-video, and image-to-image tasks, accessible through a unified API and SDKs for common programming languages. Developers can restyle live camera feeds, apply character-preserving effects, or overlay AR-like elements in real time, all while maintaining temporal consistency and visual stability frame by frame. This makes it suitable for interactive broadcasts, virtual production, experiential marketing, and consumer apps that require immediate visual feedback.​ The platform’s flagship technology, including the MirageLSD live-stream diffusion model, is engineered to deliver frame generation times under roughly 40 milliseconds, allowing continuous, “infinite” streams that react fluidly to prompts or scene changes. Decart also emphasizes production readiness: it supports enterprise workloads with high efficiency, usage-based billing, and ownership of inputs and outputs, making it viable for large-scale deployments as well as rapid prototyping. By abstracting away GPU and model complexity behind simple APIs, Decart enables teams to build next-generation video experiences—from live filters to fully AI-driven visual worlds—without needing to design and operate their own low-latency AI infrastructure.
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Key Features

  • Ultra-low-latency, always-on video generation optimized for continuous, real-time streams rather than offline clips.
  • Unified API and SDKs offering text-to-video, video-to-video, image-to-image, and related generative models with production-grade performance.
  • Enterprise-focused infrastructure with high efficiency, usage-based billing, and full ownership of generated assets for large-scale deployments.

Use Cases

  • Powering interactive live streams where creators restyle themselves or their environment dynamically using text prompts.
  • Driving live event visuals in arenas or venues, transforming stages, screens, and audiences in real time for immersive shows.
  • Enabling creative and marketing tools that offer instant video previews, AI filters, and branded effects without long rendering times.

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