"Rendervid is a free, open-source, stateless, cross-platform video and image rendering engine. It accepts JSON templates as input and outputs high-quality videos and images. Built on a React component system, Rendervid supports advanced animations, custom effects, scene transitions, and audio mixing. It runs in the browser, on Node.js servers, and in the cloud on AWS Lambda, Azure Functions, Google Cloud Run, or Docker containers."

"Is Rendervid free to use?"

"Yes, Rendervid is completely free and open-source. You can use it for personal projects, commercial work, and enterprise applications without any licensing fees. The entire source code is available on GitHub under an open-source license, and the community is welcome to contribute, fork, and extend the project."

"How does Rendervid work with AI agents?"

"Rendervid integrates with AI agents through the Model Context Protocol (MCP). AI coding assistants like Claude Code, Cursor, Windsurf, and Google Antigravite can generate complete video templates from natural language descriptions. You simply describe the video you want, and the AI agent produces a valid JSON template that Rendervid renders into a finished video or image. This makes programmatic video creation accessible to anyone who can describe what they need."

"What output formats does Rendervid support?"

"Rendervid supports a wide range of output formats. For video, it produces MP4, WebM, and MOV files. For images, it outputs PNG, JPEG, and WebP. It also supports animated GIF export. Resolution goes up to 8K (7680x4320), and you can set any custom frame rate. This makes Rendervid suitable for everything from social media clips to high-resolution marketing materials."

"How is Rendervid different from Remotion?"

"While both Rendervid and Remotion use React for video rendering, Rendervid is stateless and template-driven. You define videos as JSON templates rather than writing React code directly. This makes it ideal for AI agents and automated pipelines because the entire video specification is a single JSON document. Rendervid also includes 40+ built-in animation presets, 17 scene transitions, 100+ example templates, and native MCP integration for AI agents, all completely free and open-source."

"Can I use Rendervid without AI agents?"

"Absolutely. While Rendervid is designed with AI-first workflows in mind, you can use it entirely on its own. Write JSON templates manually, use the 100+ example templates as starting points, or integrate it into your own applications via the Node.js API or browser-based renderer. The template variable system with curly-brace syntax makes it easy to create reusable templates for automated video production pipelines."

"What are the system requirements?"

"For browser-based rendering, any modern browser with WebGL support works. For server-side rendering with Node.js, you need Node.js 18 or later and FFmpeg installed on your system. Cloud rendering is supported on AWS Lambda, Azure Functions, Google Cloud Run, and any Docker-compatible environment. Cloud rendering provides a 10-50x speedup compared to local rendering for batch workloads."

"How do I deploy Rendervid to the cloud?"

"Rendervid provides ready-to-use deployment configurations for major cloud platforms. You can deploy to AWS Lambda for serverless rendering, Azure Functions for Microsoft cloud environments, Google Cloud Run for container-based scaling, or any Docker-compatible infrastructure. Cloud deployment enables parallel rendering of multiple videos simultaneously, achieving 10-50x faster throughput compared to local single-machine rendering."

Rendervid particle explosion animation rendered from a JSON template

Generate Videos with AI Agents

Rendervid is a free, open-source video and image rendering engine built for the AI era. Define videos as JSON templates and let AI agents like Claude Code, Cursor, and Windsurf generate stunning videos from natural language. 40+ animation presets, 100+ templates, cloud rendering, and up to 8K resolution.

Get Started on GitHub View Documentation

Everything You Need for Programmatic Video

Rendervid gives you a complete toolkit for creating videos and images programmatically. From AI-driven generation to cloud-scale rendering, every feature is free and open-source.

AI-First Design

Built for AI agents from the ground up. Claude Code, Cursor, Windsurf, and Google Antigravite generate complete video templates from natural language via the Model Context Protocol (MCP).

Learn about AI integration

40+ Animation Presets

Entrance, exit, emphasis, and keyframe animations ready to use. Combine with 30+ easing functions and 17 scene transitions for professional motion graphics without writing a single keyframe.

Custom React Components

Extend Rendervid with your own React components. Define them inline, load from a URL, or register them globally. Built-in components include AnimatedLineChart, AuroraBackground, and TypewriterEffect.

Explore components

100+ Google Fonts

Access a built-in catalog of over 100 Google Fonts. Apply any font to text layers instantly without downloading or configuring font files. Perfect for branded content and multilingual projects.

Cloud Rendering

Deploy to AWS Lambda, Azure Functions, Google Cloud Run, or Docker for 10-50x faster rendering. Process hundreds of videos in parallel with serverless scaling and pay only for what you use.

Deployment guide

Audio Mixing

Full audio pipeline with EQ, compressor, reverb, delay, and stereo panning effects. Mix multiple audio tracks, synchronize sound with animations, and fine-tune volume levels per layer.

8K Resolution

Render at any resolution up to 7680x4320 (8K) with custom frame rates. Output to MP4, WebM, MOV, GIF, PNG, JPEG, or WebP. Ideal for everything from TikTok clips to cinema-quality exports.

Template Variables

Create dynamic, reusable templates with the {{variableName}} input system. Swap text, images, colors, and timing values without editing the template. Perfect for batch video generation at scale.

Template system docs

100+ Example Templates

Jump-start your projects with over 100 ready-to-use templates across 32 categories including social media, e-commerce, data visualization, kinetic typography, and marketing content.

Rendervid product showcase animation demonstrating the JSON to video pipeline

How It Works: JSON In, Video Out

Rendervid follows a simple pipeline. You define your video as a JSON template specifying scenes, layers, animations, and timing. Rendervid parses the template, renders each frame using its React-based engine, and outputs the final video or image. The entire process is stateless, meaning every render is deterministic and reproducible from the same template.

Define Your Template:: Write a JSON template with scenes, layers (text, image, video, shape, audio, group, lottie, custom), animations, and timing. Or let an AI agent generate it for you from a text description.
Render Locally or in the Cloud:: Run the renderer in your browser for quick previews, on a Node.js server for production, or deploy to the cloud for parallel batch processing at scale.
Export in Any Format:: Get your finished video as MP4, WebM, or MOV. Export stills as PNG, JPEG, or WebP. Create animated GIFs. All at up to 8K resolution with custom frame rates.

Rendervid holographic interface demonstrating AI-driven video generation through MCP

AI Agents Generate Videos from Text

Rendervid's Model Context Protocol (MCP) integration lets AI coding assistants generate complete video templates from natural language prompts. Describe the video you want and your AI agent produces a fully valid JSON template, ready to render. This turns video creation into a conversation rather than a coding task.

Claude Code & Cursor:: Generate videos directly from your IDE. Claude Code and Cursor connect to Rendervid's MCP server to produce, preview, and iterate on video templates in real time.
Windsurf & Antigravite:: Windsurf and Google Antigravite also support MCP, giving you a choice of AI assistants for video generation. Use whichever tool fits your workflow.
Natural Language to Video:: Describe your video in plain English. The AI agent handles template structure, animation timing, layer composition, and scene transitions automatically.

Explore AI integration

Template Gallery: 100+ Ready-to-Use Examples

Browse over 100 example templates across 32 categories. Each template is a complete JSON file you can render immediately, customize with variables, or use as a starting point for your own creations.

Rendervid Instagram post template with animated text and graphics

Social Media Content

Instagram posts, TikTok videos, YouTube thumbnails, and stories. Optimized aspect ratios and animations for every major platform.

Browse templates

E-Commerce & Marketing

Product showcases, flash sale announcements, promotional banners, and ad creatives. Dynamic templates with variable-driven product data.

Browse templates

Data Visualization

Animated bar charts, line graphs, and infographics. Feed data through template variables to generate presentation-ready visualizations.

View components

Rendervid wave visualization custom React component rendering

Custom React Components

Go beyond built-in layer types with custom React components. Rendervid ships with pre-built components like AnimatedLineChart, AuroraBackground, WaveBackground, SceneTransition, and TypewriterEffect. Build your own components inline, load them from a URL, or register them globally for reuse across templates.

Pre-Built Components:: Use AnimatedLineChart, AuroraBackground, WaveBackground, SceneTransition, and TypewriterEffect out of the box. Each component is fully configurable through props.
Inline Components:: Define React components directly in your JSON template. Write JSX inline for quick prototyping and one-off effects without creating separate files.
URL-Based Components:: Load custom components from any URL at render time. Host your component library on a CDN and reference them across all your templates.

Component documentation

Rendervid neon text animation demonstrating template variable substitution

Dynamic Templates with Variables

Rendervid's template variable system lets you create reusable video templates with dynamic inputs. Use the {{variableName}} syntax to define placeholders for text, image URLs, colors, durations, and any other value. At render time, pass an inputs object to fill in the variables. This is the foundation for batch video generation, personalized content, and AI-driven workflows.

{{variableName}} Syntax:: Define variables anywhere in your template. Use them for text content, image paths, colors, font sizes, animation durations, and any configurable value.
Batch Generation:: Render hundreds of personalized videos from a single template by passing different input sets. Perfect for mass-producing social media content or personalized marketing.
Default Values & Validation:: Set default values for every variable so templates always render correctly, even without explicit inputs. The system validates types and catches errors before rendering.

Template system documentation

Frequently Asked Questions

: Rendervid is a free, open-source, stateless, cross-platform video and image rendering engine. It accepts JSON templates as input and outputs high-quality videos and images. Built on a React component system, Rendervid supports advanced animations, custom effects, scene transitions, and audio mixing. It runs in the browser, on Node.js servers, and in the cloud on AWS Lambda, Azure Functions, Google Cloud Run, or Docker containers.
: Yes, Rendervid is completely free and open-source. You can use it for personal projects, commercial work, and enterprise applications without any licensing fees. The entire source code is available on GitHub under an open-source license, and the community is welcome to contribute, fork, and extend the project.
: Rendervid integrates with AI agents through the Model Context Protocol (MCP). AI coding assistants like Claude Code, Cursor, Windsurf, and Google Antigravite can generate complete video templates from natural language descriptions. You simply describe the video you want, and the AI agent produces a valid JSON template that Rendervid renders into a finished video or image. This makes programmatic video creation accessible to anyone who can describe what they need.
: Rendervid supports a wide range of output formats. For video, it produces MP4, WebM, and MOV files. For images, it outputs PNG, JPEG, and WebP. It also supports animated GIF export. Resolution goes up to 8K (7680x4320), and you can set any custom frame rate. This makes Rendervid suitable for everything from social media clips to high-resolution marketing materials.
: While both Rendervid and Remotion use React for video rendering, Rendervid is stateless and template-driven. You define videos as JSON templates rather than writing React code directly. This makes it ideal for AI agents and automated pipelines because the entire video specification is a single JSON document. Rendervid also includes 40+ built-in animation presets, 17 scene transitions, 100+ example templates, and native MCP integration for AI agents, all completely free and open-source.
: Absolutely. While Rendervid is designed with AI-first workflows in mind, you can use it entirely on its own. Write JSON templates manually, use the 100+ example templates as starting points, or integrate it into your own applications via the Node.js API or browser-based renderer. The template variable system with curly-brace syntax makes it easy to create reusable templates for automated video production pipelines.
: For browser-based rendering, any modern browser with WebGL support works. For server-side rendering with Node.js, you need Node.js 18 or later and FFmpeg installed on your system. Cloud rendering is supported on AWS Lambda, Azure Functions, Google Cloud Run, and any Docker-compatible environment. Cloud rendering provides a 10-50x speedup compared to local rendering for batch workloads.
: Rendervid provides ready-to-use deployment configurations for major cloud platforms. You can deploy to AWS Lambda for serverless rendering, Azure Functions for Microsoft cloud environments, Google Cloud Run for container-based scaling, or any Docker-compatible infrastructure. Cloud deployment enables parallel rendering of multiple videos simultaneously, achieving 10-50x faster throughput compared to local single-machine rendering.

Start Generating Videos with AI

Rendervid is free, open-source, and ready to use. Clone the repository, install dependencies, and render your first video in minutes. Or connect your AI agent via MCP and start generating videos from natural language today.

Get Started on GitHub Read the Documentation

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