01. A REALIDADE
Controle Sobre Fidelidade
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 PESQUISA
Seguindo a Ciência
A abordagem do PinePaper é informada por pesquisas acadêmicas emergentes sobre capacidades de LLM com gráficos vetoriais. Esses artigos demonstram que formatos vetoriais baseados em texto fornecem uma interface natural para modelos de linguagem.
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 "Cenas" a "Sinais"
PinePaper isn't trying to replace Hollywood VFX tools. We optimize for the high-utility layer that LLMs can master today: Functional Micro-Interactions.
Sinais de Status Ao Vivo
Indicadores de "Gravando", badges "Ao Vivo" ou spinners de "Processando". Animações simples, definidas por código, que comunicam estado do sistema sem sobrecarga de arquivo de vídeo.
PinePaper.create('circle', {animate: 'pulse'})
Acentos de Dados
Sobreposições sensíveis ao contexto para gráficos. Use um Agente para analisar dados e colocar programaticamente setas animadas, marcadores ou callouts exatamente onde importam.
PinePaper.annotate(chart, {highlight: 'Q3'})
Prototipagem de UI
Gere rapidamente mockups de UI interativos. Como a saída é baseada em DOM, esses componentes podem frequentemente portar diretamente para código de produção.
PinePaper.exportSVG() → React component
04. ARQUITETURA
A "Transferência de 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).
Razões do agente sobre o espaço vetorial
O agente interpreta seu prompt, razões sobre posições, formas e animações, então expressa isso como código.
Camada de Execução
Você executa o código (colar no console ou via ferramenta MCP) para renderizar gráficos vetoriais localmente. Isso mantém a ferramenta livre, segura e do lado do cliente.
Iterar & exportar
Refinar com feedback de linguagem natural, em seguida, exportar como MP4, GIF, SVG animado, ou PNG.
Traga seu próprio dispositivo 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. FUNDAÇÃO
Nos Ombros 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. PRINCÍPIOS FUNDAMENTAIS
Construído para a Web Aberta
Núcleo no Cliente
Não requer instalação. Funciona inteiramente no seu navegador sem viagens ao servidor. Seus dados ficam no seu dispositivo—privacidade por arquitetura.
API Nativa de IA
Built from the ground up to be controlled by agents. Exposes a global window.PinePaper API for programmatic generation and manipulation.
Global por Padrão
Suporte para 59 idiomas e todos os sistemas de escrita, incluindo chinês, árabe, hindi e emoji. Crie conteúdo para qualquer público.
Estamos Testando uma Hipótese
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. FAQ
Perguntas Frequentes
O que é PinePaper Studio?
Uma ferramenta baseada em navegador para criar micro-interações SVG animadas. Construída sobre Paper.js, expõe uma API declarativa projetada para agentes de IA e humanos entenderem e manipularem gráficos vetoriais.
PinePaper Studio é gratuito?
Sim, é freeware. Funciona inteiramente no seu navegador sem necessidade de conta. Todo processamento acontece no lado do cliente—seus dados ficam no seu dispositivo.
Agentes de IA podem 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.
O que é Paper.js?
Um framework maduro de código aberto de gráficos vetoriais em HTML5 Canvas. Ele fornece um grafo de cena (DOM) para gráficos vetoriais. PinePaper é construído como uma camada de abstração sobre ele.
Quais formatos de exportação são suportados?
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.
Quais animações estão disponíveis?
10 animações em loop (Pulse, Wobble, Rotate, Bounce, Typewriter, Shake, Swing, Jelly, Fade, Scroll) mais 100+ presets de entrada/saída. 15 efeitos de partículas (sparkle, smoke, fire, rain, snow, confetti e mais). 13 presets de deformação de vértices (fold, twist, ripple, wave e mais). Keyframes de linha do tempo com 9 funções de easing.
Pronto para experimentar?
Não requer conta. Tudo roda no seu navegador.