01. ÀYẸ̀WÒ GIDI
Ìṣàkóso Lórí Ìgbẹ́kẹ̀lé
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. ÀYÍKÁ ÌWÁDÌÍ
Tẹ̀lé Ìmọ̀-Jìnlẹ̀
Ọ̀nà PinePaper jẹ́ àlàyé nípasẹ̀ ìwádìí tí ń jáde lórí agbára LLM pẹ̀lú àwòrán vector.
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. LÍ LÒ
Láti "Àwọn Ìran" sí "Àmì"
PinePaper isn't trying to replace Hollywood VFX tools. We optimize for the high-utility layer that LLMs can master today: Functional Micro-Interactions.
Àmì Ipò Tààrà
Àwọn ìfihàn "Àgbàsílẹ̀", badge "Tààrà", tàbí àyíká "Ṣíṣe". Ìṣípayá tó rọrùn tí ó ń bá ìpò ètò sọ̀rọ̀.
PinePaper.create('circle', {animate: 'pulse'})
Àfikún Dátà
Àwọn ìbora tí ó mọ̀ nípa ìṣẹ̀lẹ̀ fún àwọn àwòrán-ìṣirò. Lo Aṣojú láti ṣàyẹ̀wò dátà kí o sì fi ọfà sí ibi tí ó ṣe pàtàkì.
PinePaper.annotate(chart, {highlight: 'Q3'})
Àpẹẹrẹ UI
Ṣẹ̀dá àwọn àpẹẹrẹ UI àjọṣepọ̀ ní kíákíá. Nítorí pé àbájáde jẹ́ DOM, àwọn ẹ̀yà wọ̀nyí le yí padà sí koodu ìṣelọ́pọ̀.
PinePaper.exportSVG() → React component
04. ÌṢÈTÒ
"Fífi Ọwọ́ lé Aṣojú"
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. ÌPÌLẸ̀
Dúró Lórí Èjìká Àwọn Aláǹfààní
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. ÌLÀNÀ PÀTÀKÌ
Tí a Kọ́ fún Wẹ́bù Ṣíṣí
Ipilẹ̀ Ẹ̀gbẹ́ Oníbàárà
Kò sí ìfisílẹ̀ tí a nílò. Ó ń ṣiṣẹ́ gbogbo nínú aṣàwákiri rẹ láìsí ìrìnàjò sí olùpín. Dátà rẹ wà lórí ohun-èlò rẹ—ìpamọ́ nípasẹ̀ ìṣètò.
API Aṣáájú-AI
Built from the ground up to be controlled by agents. Exposes a global window.PinePaper API for programmatic generation and manipulation.
Àgbáyé nípa Àpapọ̀
Àtìlẹyìn fún àwọn èdè 59 àti gbogbo àwọn ètò kíkọ̀ pẹ̀lú Ṣáínà, Lárúbáwá, Híńdì, Síńdì, Sàwáhílì, Amhárìkì, àti emoji. Dá àkóónú fún àwọn olùgbọ́ kankan.
À Ń Dán Àbá-ọ̀rọ̀ Wò
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
- ✓ Interactive behaviors (repel, attract, follow, orbit)
- ✓ MP4 & GIF export + print-ready PDF/PNG (300/600 DPI)
- ✓ 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. ÌBÉÈRÈ
Àwọn Ìbéèrè Tí A Máa Ń Béèrè
Kíni PinePaper Studio?
Ohun-èlò aṣàwákiri fún ṣíṣẹ̀dá ìjápọ̀ SVG tí ó ní ìṣípayá. Tí a kọ́ lórí Paper.js, tí ó ní API fún àwọn aṣojú AI àti ènìyàn.
Ṣé PinePaper Studio jẹ́ ọ̀fẹ́?
Bẹ́ẹ̀ni, software ọfẹ́ ni. Ó ń ṣiṣẹ́ gbogbo nínú aṣàwákiri rẹ láìsí àkọọlẹ̀.
Ṣé àwọn aṣojú AI lè lo 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.
Kíni Paper.js?
Ètò àwòrán vector oríṣun-ṣíṣí lórí HTML5 Canvas. Ó pèsè àwòrán àyè (DOM) fún àwòrán vector.
Irú ọ̀nà ìgbéjáde wo ni a ṣàtìlẹ́yìn?
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.
Irú ìṣípayá wo ni ó wà?
Ìṣípayá 10 àyíká (Pulse, Wobble, Rotate, Bounce, Typewriter, Shake, Swing, Jelly, Fade, Scroll) pẹ̀lú àwọn ìṣètò 100+. Ipa abala 15. Ìṣètò vertex 13.
Ṣé o ti ṣetán láti gbìyànjú?
Kò sí àkọọlẹ̀ tí a nílò. Gbogbo nǹkan ń ṣiṣẹ́ nínú aṣàwákiri rẹ.