01. NYOCHA EZIOKWU
Njikwa N'elu Ntụkwasị Obi
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. ỌNỌDỤ NYOCHA
Ịgbaso Sayensị
Ụzọ PinePaper na-enweta ozi site na nyocha na-apụta banyere ikike LLM.
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. OJIJI
Site na "Ihe Nkiri" Gaa na "Akara"
PinePaper isn't trying to replace Hollywood VFX tools. We optimize for the high-utility layer that LLMs can master today: Functional Micro-Interactions.
Akara Ọnọdụ Ozugbo
Ihe ngosi "Na-edekọ", akara "Ozugbo", ma ọ bụ mgbagharị "Na-arụ ọrụ".
PinePaper.create('circle', {animate: 'pulse'})
Ịmụba Data
Mkpuchi nwere nghọta maka chaatị. Jiri Onye Nnọchi Anya nyochaa data ma tinye akara ubi.
PinePaper.annotate(chart, {highlight: 'Q3'})
Ime Ihe Atụ UI
Mepụta ngwa ngwa ihe atụ UI na-arụ ọrụ.
PinePaper.exportSVG() → React component
04. NHAZI
"Ịnyefe Onye Nnọchi Anya"
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. NTỌALA
Ịgụzọ N'ubu Ndị Nnukwu
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. ỤKỌ ISI
Ewuru maka Weebụ Mepere Emepe
Isi Akụkụ Onye ahịa
Achọghị nrụnye ọ bụla. Ọ na-arụ ọrụ kpamkpam n'ime ihe nchọgharị gị na-enweghị njem nkesa. Data gị na-anọgide na ngwaọrụ gị—nzuzo site na nhazi.
API Eke nke AI
Built from the ground up to be controlled by agents. Exposes a global window.PinePaper API for programmatic generation and manipulation.
Nke Ụwa Niile site na Ndabara
Nkwado maka asụsụ 59 na usoro ederede niile gụnyere Chinese, Arabic, Hindi, Sindhi, Swahili, Amharic, na emoji. Mepụta ọdịnaya maka ndị ọ bụla na-ege ntị.
Anyị Na-anwale Echiche
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. AJỤJỤ
Ajụjụ A Na-ajụkarị
Gịnị bụ PinePaper Studio?
Ngwa ihe nchọgharị maka imepụta mmekọrịta obere SVG nwere mmegharị. Ewuru ya na Paper.js.
PinePaper Studio ọ bụ efu?
Ee, ọ bụ sọftụwịa efu. Ọ na-arụ ọrụ kpamkpam n'ime ihe nchọgharị gị na-enweghị akaụntụ.
Ndị nnọchi anya AI nwere ike iji 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.
Gịnị bụ Paper.js?
Nhazi eserese vector mepere emepe na HTML5 Canvas.
Kedu ụdị mbupụ akwadoro?
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.
Kedu mmegharị dị?
Mmegharị 10 na-agagharị (Pulse, Wobble, Rotate, Bounce, Typewriter, Shake, Swing, Jelly, Fade, Scroll) yana ntọala 100+.
Ị dị njikere ịnwale?
Achọghị akaụntụ. Ihe niile na-arụ ọrụ n'ime ihe nchọgharị gị.