01. IL CONTROLLO REALTÀ
Controllo sulla Fedeltà
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. CONTESTO DI RICERCA
Seguendo la Scienza
L'approccio di PinePaper è informato da ricerche accademiche emergenti sulle capacità LLM con la grafica vettoriale. Questi articoli dimostrano che i formati vettoriali basati su testo forniscono un'interfaccia naturale per i modelli linguistici.
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. CASI D'USO
Da "Scene" a "Segnali"
PinePaper isn't trying to replace Hollywood VFX tools. We optimize for the high-utility layer that LLMs can master today: Functional Micro-Interactions.
Segnali di Stato Live
Indicatori "Registrazione", badge "Live" o spinner "Elaborazione". Animazioni semplici, definite da codice che comunicano lo stato del sistema senza overhead di file video.
PinePaper.create('circle', {animate: 'pulse'})
Accenti sui Dati
Sovrapposizioni contestuali per grafici. Usa un Agente per analizzare i dati e posizionare programmaticamente frecce animate, evidenziatori o callout esattamente dove sono importanti.
PinePaper.annotate(chart, {highlight: 'Q3'})
Prototipazione UI
Genera rapidamente mockup UI interattivi. Poiché l'output è basato su DOM, questi componenti possono spesso essere trasferiti direttamente al codice di produzione.
PinePaper.exportSVG() → React component
04. ARCHITETTURA
Il "Passaggio di Mano all'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
The agent interprets your prompt, reasons about positions, shapes, and animations, then expresses that as code.
Execution Layer
You run the code (paste into console or via MCP tool) to render vector graphics locally. This keeps the tool free, secure, and client-side.
Iterate & Export
Refine with natural language feedback, then export as MP4, GIF, animated SVG, or PNG.
05. FONDAMENTA
Sulle Spalle dei Giganti
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. PRINCIPI FONDAMENTALI
Costruito per il Web Aperto
Core Lato Client
Nessuna installazione richiesta. Funziona interamente nel tuo browser senza roundtrip al server. I tuoi dati rimangono sul tuo dispositivo—privacy per architettura.
API Nativa per AI
Built from the ground up to be controlled by agents. Exposes a global window.PinePaper API for programmatic generation and manipulation.
Globale per Impostazione Predefinita
Supporto per 41 lingue e tutti i sistemi di scrittura inclusi Cinese, Arabo, Hindi ed emoji. Crea contenuti per qualsiasi pubblico.
Stiamo Testando un'Ipotesi
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:
- ✓ Manual editor for text, shapes, and SVG import
- ✓ 9 animation presets + effect system (sparkle, blast)
- ✓ Timeline editor with keyframe animations & easing
- ✓ MP4 & GIF export ✨ NEW
- ✓ Animated SVG export with SMIL animations
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Global
window.PinePaperAPI for programmatic control
Help us validate this — try the editor and share your experience via our feedback board.
08. FAQ
Domande Frequenti
Cos'è PinePaper Studio?
Uno strumento basato su browser per creare micro-interazioni SVG animate. Costruito su Paper.js, espone un'API dichiarativa progettata sia per agenti AI che per umani per comprendere e manipolare la grafica vettoriale.
PinePaper Studio è gratuito?
Sì, è freeware. Funziona interamente nel tuo browser senza account richiesto. Tutta l'elaborazione avviene lato client—i tuoi dati rimangono sul tuo dispositivo.
Gli agenti AI possono usare 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.
Cos'è Paper.js?
Un framework di grafica vettoriale open-source maturo su HTML5 Canvas. Fornisce un grafo di scena (DOM) per la grafica vettoriale. PinePaper è costruito come un livello di astrazione su di esso.
Quali formati di esportazione sono supportati?
MP4 video (H.264 via WebCodecs), GIF animations, animated SVG files (SMIL), and static PNG images. MP4 works best for social media; GIF is perfect for messaging apps.
Quali animazioni sono disponibili?
9 preset: Pulsazione, Oscillazione, Rotazione, Rimbalzo, Digitazione, Tremolio, Dondolio, Gelatina e Scorrimento. L'editor Timeline offre animazioni keyframe con 5 funzioni di easing. Il Sistema Effetti aggiunge tracce scintillanti e particelle esplosive agli elementi.
Pronto a sperimentare?
Nessun account richiesto. Tutto funziona nel tuo browser.