AI-powered video messaging tool that records, shares, and manages video messages with AI-generated titles, summaries, and tasks.
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Framefields
Video and image editing toolkit written in TypeScript and rendered on the GPU
About Framefields
framefields is a TypeScript-based toolkit for video production, image editing, motion graphics, 3D rendering, and audio integration. It uses WebGPU to render compositions directly to pixels, enabling real-time previews and high-performance output to MP4 or PNG formats. The system supports kinetic typography, 3D scenes with physically based materials, and over fifty image effects such as curves, levels, and selective color. It also integrates generative AI models through an API gateway for creating stills, clips, and voiceovers within the same timeline. Coding agents can use framefields to write, check, and ship video or image assets programmatically, with support for frame-by-frame inspection and pixel-level assertions.
Key features
- GPU-accelerated video and image rendering
- TypeScript API for coding agents
- Kinetic typography and letter-by-letter animation
- 3D rendering with physically based materials
- Over 50 image effects and GPU-based image processing
- Generative AI integration for stills, clips, and voiceovers
- Frame-by-frame preview and pixel-level assertions
- Audio layering and procedural sound effects
Use cases
- Generating motion graphics and kinetic titles
- Creating high-resolution marketing stills and videos
- Integrating AI-generated content into video pipelines
Pros
- GPU-accelerated rendering for high performance
- TypeScript-based API for coding agents
- Supports motion graphics, 3D, image editing, and audio in one toolkit
- Real-time preview with frame-by-frame scrubbing
- Integrates generative AI models via unified API
Cons
- Requires WebGPU-compatible hardware
- Beta version status
- No free tier mentioned
- Limited to TypeScript-based workflows
Framefields videos
Frequently asked questions about Framefields
What is Framefields and what does it do?
Framefields is a TypeScript-based toolkit for video production, image editing, motion graphics, 3D rendering, and audio integration. It renders compositions directly to pixels using WebGPU, enabling real-time previews and high-performance output to MP4 or PNG formats.
Who is Framefields designed for?
Framefields is designed for coding agents and developers who need to programmatically create, edit, and render video, image, motion graphics, and audio assets with GPU acceleration and TypeScript.
How does Framefields integrate with generative AI?
Framefields includes an AI Gateway that allows users to access over 100 generative image, video, and audio models directly in TypeScript with a unified API key, enabling seamless integration of AI-generated content into video pipelines.
What file formats and effects does Framefields support?
Framefields supports output to MP4 or PNG formats and includes over fifty image effects such as curves, levels, selective color, halftone, film grain, and mesh warp, along with 3D rendering capabilities using physically based materials.
How can I get started with Framefields?
You can install Framefields in coding environments like Claude Code, Codex, Cursor, or Gemini CLI using commands provided on the website, and then begin writing TypeScript compositions that render directly to video or images.
Does Framefields support testing and debugging of video compositions?
Yes, Framefields allows coding agents to render grids of frames for visual testing, export pixel-perfect stills, and assert on pixels or frame-to-frame changes using tools like Vitest.
