Framefields
Claim this toolRender frame-accurate MP4s with code, motion graphics, 3D, and effects
Paid plans only Visit Website Paid Visit Website
Tracked since 2026
The Bottom Line
- Price
- Paid plans only. Compare plans
Key facts
- Programmatic video engine for coding agents, written in TypeScript and GPU-accelerated.
- Renders motion graphics, 3D, charts, effects, and audio frame-accurately to MP4.
- Integrates with agent tools via plugin or npx command for automated video creation.
Pros
- Extremely fast rendering (255 frames at 1080p in 2.6 seconds on M1 Pro)
- Low memory footprint (200-400 MB per worker) compared to headless browser alternatives
- Seamless integration with popular coding agents and CLI tools
Cons
- Requires TypeScript knowledge and programming workflow, not suitable for non-developers
- No graphical user interface for video composition or timeline editing
What is Framefields?
Framefields is a TypeScript-based video rendering engine that runs on the GPU and outputs MP4 files. It is designed to be used by coding agents (like Claude Code, Codex, Cursor, Gemini CLI) to programmatically generate videos with motion graphics, type, charts, 3D models, effects, and audio. The engine provides a live preview player, frame-accurate timing, and pixel-perfect text rendering. It supports over 50 effects, 3D scenes with PBR materials, vision AI via ONNX for segmentation and tracking, and chart layers. Rendering is extremely efficient, using 200-400 MB of memory per worker, making it suitable for agent-driven video production. The tool includes testing utilities to check easing and transitions, and can assert on pixel output.
Key Features
- GPU-accelerated rendering directly to MP4
- Pixel-perfect text rendering with glyph outline solving per pixel
- 3D scene support with PBR materials, shadows, bloom, ambient occlusion, and skinned models (OBJ, FBX, glTF, STL, PLY, VOX)
- Over 50 video effects including curves, levels, halftone, film grain, mesh warp, liquify, and transitions
- Vision AI through ONNX for object detection, segmentation, pose estimation, and person mattes
- Live preview player with scrubbing, step-through, and note pinning
- Frame-accurate audio tracks, procedural sound effects, and audio-driven property animations
- Chart layers for line, bar, scatter, candlestick, and pie charts
Pricing
Paid
Framefields offers paid plans. Visit their website for current pricing details.
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Framefields FAQ
How does Framefields enable programmatic video generation for developer teams?
Framefields allows developer teams to generate videos programmatically using TypeScript code, running on the GPU to output MP4 files with motion graphics, 3D models, effects, and audio. It integrates with coding agents like Claude Code and Cursor, making it suitable for automated video production in CI/CD pipelines or agent-driven workflows.
What are the main trade-offs of using Framefields for video creation?
Framefields requires TypeScript knowledge and a programming workflow, so it is not suitable for non-developers. It also lacks a graphical user interface for timeline editing or video composition, meaning all work must be done through code.
Which teams benefit most from using Framefields?
Teams of developers and engineers who need to automate video generation, such as those building motion graphics, data visualizations, or 3D scenes programmatically, benefit most from Framefields. It is designed for coding agents and CLI tools, making it ideal for agent-driven video production environments.
How is Framefields priced?
Framefields is a paid product and does not include a permanently free tier. Pricing details are available on the product page.
Can Framefields render videos with frame-accurate timing and pixel-perfect text?
Yes, Framefields provides frame-accurate timing and pixel-perfect text rendering, along with a live preview player. It supports over 50 effects, 3D scenes with PBR materials, and chart layers for comprehensive video composition.
Does Framefields support vision AI features like segmentation and tracking?
Yes, Framefields includes vision AI capabilities via ONNX for segmentation and tracking. This allows developers to incorporate computer vision elements directly into their generated videos.
How does Framefields integrate with coding agents and CLI tools?
Framefields is designed for seamless integration with popular coding agents such as Claude Code, Codex, Cursor, and Gemini CLI. Developers can use these tools to write TypeScript code that controls the video rendering engine, enabling automated video production.
How efficient is Framefields in terms of rendering speed and memory usage?
Framefields is extremely efficient, rendering 255 frames at 1080p in 2.6 seconds on an M1 Pro, while using only 200-400 MB of memory per worker. This low memory footprint makes it suitable for agent-driven video production without heavy resource consumption.
Source: framefields.dev