01. LA REALIDAD
Control Sobre Fidelidad
Models like Veo, Sora, and Kling have achieved remarkable visual fidelity. They can render almost anything as pixels. But pixels are static data—you cannot easily modify a single element, interrupt a sequence mid-animation, or attach logic handlers to specific shapes after generation.
PinePaper bets on Visual Control. By exposing the vector DOM (Document Object Model), we allow AI agents to not just "dream" an image, but to structure it. This enables interruptibility, programmatic modification, and precise component reuse.
This isn't about replacing video generation—it's about filling the gap for functional micro-graphics: status indicators, data visualizations, UI components, and interactive diagrams.
The Vector Advantage
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Readable Vector Space Agents can query positions, bounds, and relationships. The DOM is inspectable—enabling understanding, not just output.
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Interruptibility Modify scenes mid-animation based on events. Essential for interactive dashboards and live data.
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Micro-Signals Generate functional, lightweight components (spinners, badges, progress bars) rather than full-frame art.
02. CONTEXTO DE INVESTIGACIÓN
Siguiendo la Ciencia
El enfoque de PinePaper está informado por investigación académica emergente sobre las capacidades de LLM con gráficos vectoriales. Estos artículos demuestran que los formatos vectoriales basados en texto proporcionan una interfaz natural para modelos de lenguaje.
Delving into LLMs' Visual Understanding via SVG
Demonstrates that LLMs can perform visual reasoning, image classification, and generation by processing SVG as text. "The textual nature of SVG provides a data modality that LLMs excel at."
VGBench: Evaluating LLMs on Vector Graphics
First comprehensive benchmark for LLM + vector graphics. Tests understanding and generation across SVG, TikZ, and Graphviz formats with 4,279 QA pairs.
LLM4SVG: Empowering LLMs for Complex Vector Graphics
Introduces semantic tokens for SVG understanding. Released SVGX dataset with 580k SVG-instruction pairs for fine-tuning language models on vector generation.
DeepSVG: Hierarchical SVG Generation & Animation
Pioneering work on neural SVG generation. Demonstrates latent space interpolation for creating smooth animations between vector keyframes.
VDLM: Visually Descriptive Language Model
Introduces "Primal Visual Description" (PVD)—an intermediate text representation between SVG and natural language that improves LLM reasoning on graphics.
StarVector: Image & Text to SVG Generation
Multimodal LLM for SVG generation from both images and text prompts. Achieves state-of-the-art on SVG-Bench for icons, logos, and diagrams.
These papers inform our design decisions but PinePaper is an independent project, not affiliated with any research institution.
03. CASOS DE USO
De "Escenas" a "Señales"
PinePaper isn't trying to replace Hollywood VFX tools. We optimize for the high-utility layer that LLMs can master today: Functional Micro-Interactions.
Señales de Estado en Vivo
Indicadores de "Grabando", insignias "En Vivo" o spinners de "Procesando". Animaciones simples definidas por código que comunican el estado del sistema sin sobrecarga de archivos de video.
PinePaper.create('circle', {animate: 'pulse'})
Acentos de Datos
Superposiciones conscientes del contexto para gráficos. Usa un Agente para analizar datos y colocar programáticamente flechas animadas, resaltadores o llamadas exactamente donde importan.
PinePaper.annotate(chart, {highlight: 'Q3'})
Prototipado de UI
Genera rápidamente mockups de UI interactivos. Como la salida está basada en DOM, estos componentes a menudo pueden portarse directamente a código de producción.
PinePaper.exportSVG() → React component
04. ARQUITECTURA
El "Traspaso al Agente"
Browser security sandboxes prevent external AI agents (like Claude) from directly executing code inside a running tab. We solve this with a transparent Human-in-the-Loop workflow, or via the Model Context Protocol (MCP).
Agent Reasons About Vector Space
El agente interpreta su mensaje, razones sobre posiciones, formas y animaciones, luego expresa eso como código.
Execution Layer
Usted ejecuta el código (paste en consola o a través de la herramienta MCP) para renderizar gráficos vectoriales localmente. Esto mantiene la herramienta libre, segura y cliente-side.
Iterate & Export
Refinar con la regeneración del lenguaje natural, luego exportar como MP4, GIF, animado SVG, o PNG.
Traiga su propio LLM
PinePaper also supports client-side LLMs — Chrome's built-in Gemini Nano, or any model that runs in the browser — entirely on your device, with no account and nothing sent to a server. A constrained grammar lets the model's agent talk to PinePaper's tools directly, so a prompt becomes a scene in one step. Find it under AI / Code → Assistant in the editor.
05. FUNDAMENTO
Sobre los Hombros de Gigantes
PinePaper is built on Paper.js—a mature vector graphics framework. Together, they provide the abstraction layer that lets agents understand and operate in vector space.
Paper.js
The Swiss Army Knife of Vector Graphics Scripting
Paper.js is a mature vector graphics scripting framework that evolved from Scriptographer—a scripting environment for Adobe Illustrator. It provides:
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Vector-First Mathematics — Points, Sizes, and Rectangles as first-class citizens with operator overloading
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Scene Graph / DOM — Nested layers, groups, paths, symbols—all inspectable and modifiable
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Bidirectional SVG — Import, transform, animate, and export vector graphics seamlessly
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Boolean Operations — Unite, intersect, subtract, divide shapes programmatically
Code that reads like geometry — agents can reason about vector space through this syntax
06. PRINCIPIOS FUNDAMENTALES
Construido para la Web Abierta
Núcleo del Lado del Cliente
No requiere instalación. Funciona completamente en tu navegador sin viajes al servidor. Tus datos permanecen en tu dispositivo—privacidad por arquitectura.
API Nativa para IA
Built from the ground up to be controlled by agents. Exposes a global window.PinePaper API for programmatic generation and manipulation.
Global por Defecto
Soporte para 59 idiomas y todos los sistemas de escritura incluyendo chino, árabe, hindi y emoji. Crea contenido para cualquier audiencia.
Estamos Probando una Hipótesis
Can AI agents understand vector space and operate within it? The abstractions—PinePaper, Paper.js—are just the interface. The real question is whether agents can reason about positions, shapes, transformations, and timing to create meaningful visual output.
What we're validating:
- ? Can agents reason about spatial relationships and coordinates?
- ? Can they compose shapes, layers, and animations coherently?
- ? Does the scene graph help them self-correct visual errors?
What works today:
- ✓Relations engine — 25+ relation types (orbits, follows, springs, wiggle, event-driven state machines); behavior lives as a graph, not callbacks
- ✓AI-native — MCP server (120+ tools) + Agent Mode, plus the global
window.PinePaperAPI for programmatic control - ✓Accessible by default — WCAG 2.1 AA widget & SVG export with embedded screen-reader descriptions
- ✓100+ animation presets + keyframe timeline (easing, spatial paths, gradients) & effects (sparkle, blast, aura FX)
- ✓40+ procedural generators — flow fields, nebulae, Truchet, halftone, ribbons — seeded & remixable
- ✓Diagrams, maps & charts — flowcharts with Mermaid import/export, choropleth maps, charts from CSV/JSON
- ✓Rigging, physics & 3D — skeletons, IK, poses, bone physics, equirectangular 3D projection
- ✓Math & simulation — ODE solvers, FFT, function/parametric plotting, live dynamic systems
- ✓Export everywhere — WebM/MP4/GIF, print PDF/PNG (300/600 DPI), animated SVG (SMIL), Lottie, glTF, sprite sheets
Help us validate this — try the editor and share your experience via our feedback board.
07. Preguntas frecuentes
Preguntas Frecuentes
¿Qué es PinePaper Studio?
Una herramienta basada en navegador para crear micro-interacciones SVG animadas. Construida sobre Paper.js, expone una API declarativa diseñada para que tanto agentes de IA como humanos entiendan y manipulen gráficos vectoriales.
¿Es PinePaper Studio gratuito?
Sí, es freeware. Funciona completamente en tu navegador sin necesidad de cuenta. Todo el procesamiento ocurre del lado del cliente—tus datos permanecen en tu dispositivo.
¿Pueden los agentes de IA usar PinePaper?
Yes. It exposes a global window.PinePaper object for programmatic
control. We're testing whether AI can effectively understand and operate in vector space through this
interface.
¿Qué es Paper.js?
Un framework maduro de código abierto para gráficos vectoriales sobre HTML5 Canvas. Proporciona un grafo de escena (DOM) para gráficos vectoriales. PinePaper está construido como una capa de abstracción sobre él.
¿Qué formatos de exportación son compatibles?
WebM (VP9, best quality for animations), MP4 (H.264 via WebCodecs), GIF, animated SVG (SMIL), PNG up to 600 DPI, print-ready PDF (bleed + trim marks), Lottie, glTF/GLB, BVH motion capture, PNG sequence, and self-contained interactive HTML widgets. WebM for high-quality animations; MP4 for social media; PDF for print.
¿Qué animaciones están disponibles?
10 animaciones en bucle (Pulso, Balanceo, Rotación, Rebote, Máquina de escribir, Vibración, Péndulo, Gelatina, Desvanecimiento, Desplazamiento) más 100+ presets de entrada/salida. 15 efectos de partículas (destello, humo, fuego, lluvia, nieve, confeti y más). 13 presets de deformación (plegar, torcer, ondular, ola y más). Keyframes con 9 funciones de easing.
¿Listo para experimentar?
No se requiere cuenta. Todo funciona en tu navegador.