HyperFrames

HyperFrames: The Programmatic HTML-to-Video Engine If you've ever tried to generate videos from web pages using headless browsers, you know the pain. You trigger a screen record, but network latency and async animations immediately break the output. You are left with dropped frames, desynced timelines, and an unreliable system that simply cannot scale. HyperFrames fixes this at the browser level. We abandoned real-time screen recording and built an engine that hijacks the browser's virtual clock. We pause time, wait for the exact frame to render, and capture the DOM sequentially. The result is 100% deterministic rendering. You get exactly what you coded, with 0 dropped frames, every single time. Built for AI & Agents Writing rendering pipelines from scratch is a massive time sink. We built this architecture to be explicitly Agent-Native. Feed your LLM raw data, let it write the HTML/JS, and pass that payload directly to our API. Your AI agents can now output flawless, compiled video files without you ever having to debug complex FFmpeg commands. Deep Front-End Compatibility HyperFrames natively understands your existing tech stack. We perfectly capture complex CSS animations, nested GSAP timelines, and Lottie files. It even handles heavy WebGL/Three.js shaders and custom canvas elements without stuttering. Production-Ready Output Export your web scenes directly into MP4, WebM, or MOV formats. Need transparent backgrounds for overlays? We support alpha channels natively. The engine also handles 4K+ exports without crashing your server instances. Core Use Cases: Automated Social Video: Pipe JSON data into HTML templates to generate daily YouTube Shorts and TikToks entirely on autopilot. Dynamic Data Visualizations: Render complex, DOM-based charting libraries into clean video formats for automated reporting or social media. Programmatic Marketing: Generate thousands of localized video ads by dynamically swapping out DOM text and image URLs via API.