VectorCraft AI is a professional-grade vector art generation platform powered by the Appsgm 3 Pro engine. It allows users to describe visuals in plain text and receive production-ready SVG code in seconds.

Key Features

Text-to-Vector Synthesis: Leverage the power of Appsgm to create intricate icons, scenes, and illustrations.

Developer-Friendly Output: Generates clean, optimized SVG code ready for inclusion in web projects.

Interactive UI: Real-time feedback and high-fidelity previews.

Export Options: Download as .svg files or copy the raw code directly.

Installation & Setup

To run VectorCraft AI locally, follow these steps:

1. Clone the Repository:

BASH

git clone https://github.com/your-repo/vectorcraft-ai.git

cd vectorcraft-ai

2. Serve the Application: Since this is a client-side React application using ESM modules, you need a local web server.

Using VS Code: Install the "Live Server" extension and click "Go Live".

Using Node.js:

BASH

      npx serve .

3. API Key Configuration: The application utilizes the Appsgm API (Google GenAI SDK). It expects an API key to be available via process.env.API_KEY.

Note: In this specific environment, the key is injected automatically. For external deployments, ensure your build tool or hosting provider injects the key.

Technologies Used

React 19: Modern frontend framework for building interactive components.

Tailwind CSS: Utility-first CSS framework for a sleek, responsive design.

Google GenAI SDK: Powering the core Appsgm generation engine.

Lucide React: Beautifully crafted open-source icons.

License

This project is licensed under the Apache-2.0 License.

About

A professional AI-powered vector art generator that creates production-ready SVG code from text descriptions using Appsgm 3 Pro.

16 files

2 folders

19.36 KB total size

0 open issues

0 open pull requests

0 watchers

0 forks

0 stars

37 views

Updated 5 days ago

Recent Commits View all

Initial commit - Upload project 'vectorcraft-ai'

GeetMark committed 5 days ago

Languages

TypeScript 90.3%

HTML 9.7%

CSS 0.0%