Build an AI Birthday Wishes Image Generator with Next.js React

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Build an AI Birthday Wishes Image Generator with Next.js

Creating personalized birthday cards manually takes time, especially when you want modern designs, custom wishes, animations, and downloadable images. In this tutorial project, I’m sharing a complete AI-powered Birthday Wishes Image Generator built with Next.js, TypeScript, Fabric.js, and OpenAI/Gemini integration.

The project is production-ready and includes editable templates, AI-generated birthday wishes, drag-and-drop text editing, image export, and multilingual support.

Download Source Code

GitHub Repository

Project Overview

This web application allows users to:

  • Generate AI birthday wishes
  • Create beautiful birthday cards
  • Customize text, colors, and fonts
  • Edit card layouts visually
  • Export high-quality PNG/JPEG images
  • Use OpenAI or Gemini APIs
  • Work completely without a database

The system is built using a serverless architecture with Next.js App Router.

Features Included

AI Birthday Wish Generator

Users can generate birthday wishes based on:

  • Recipient name
  • Tone
  • Language
  • Custom context

Supported tones:

  • Funny
  • Emotional
  • Professional
  • Romantic

Supported languages:

  • English
  • Urdu
  • Hindi

The app supports both:

  • OpenAI GPT
  • Google Gemini API

If no API key is added, the system automatically switches to fallback template-based wishes.

Editable Birthday Card Canvas

The project uses Fabric.js with HTML Canvas API for a fully editable experience.

Users can:

  • Drag text
  • Resize text
  • Change font style
  • Update colors
  • Align text
  • Move elements freely

Changes appear instantly in the live preview.

Prebuilt Birthday Templates

The project includes multiple animated templates including:

  • Balloons
  • Birthday cakes
  • Confetti effects
  • Decorative lights
  • Minimal designs
  • Luxury themes

Theme categories:

  • Cute
  • Elegant
  • Luxury
  • Minimal

High Resolution Export

Users can export birthday cards as:

  • PNG
  • JPEG

The export system generates high-resolution images suitable for:

  • WhatsApp sharing
  • Instagram stories
  • Printing
  • Social media posts

Tech Stack Used

Frontend

  • Next.js 14
  • TypeScript
  • Tailwind CSS
  • Fabric.js
  • Framer Motion
  • Lucide React

Backend

  • Next.js API Routes
  • OpenAI API
  • Gemini API

Architecture

  • Serverless
  • No Database
  • LocalStorage state persistence

Project Structure

birthday-wishes-generator/
├── app/
│   ├── api/
│   │   └── generate-wish/
│   │       └── route.ts
│   ├── globals.css
│   ├── layout.tsx
│   └── page.tsx
├── components/
│   ├── CanvasEditor.tsx
│   ├── InputPanel.tsx
│   ├── TemplatePanel.tsx
│   └── TextEditor.tsx
├── lib/
├── types/
├── package.json
└── tailwind.config.ts

How to Run the Project

1. Clone Repository

git clone https://github.com/maduwebtech/birthday_card

2. Open Project Folder

cd birthday_card

3. Install Dependencies

npm install

4. Configure Environment Variables

Create a .env.local file:

OPENAI_API_KEY=your_openai_key
GEMINI_API_KEY=your_gemini_key
AI_PROVIDER=openai

5. Run Development Server

npm run dev

Open:

http://localhost:3000

How the System Works

The application flow is simple:

User Input → AI API → Generated Wish → Editable Canvas → Image Export

Users first generate AI wishes, then customize the birthday card visually before downloading the final image.

Main Components Explained

CanvasEditor.tsx

Handles:

  • Drag-and-drop editing
  • Canvas rendering
  • Text positioning
  • Live updates

Uses Fabric.js for interactive editing.

InputPanel.tsx

Handles:

  • Name input
  • Tone selection
  • Language selection
  • Custom prompts

TemplatePanel.tsx

Displays available birthday templates and themes.

TextEditor.tsx

Allows users to:

  • Modify AI-generated text
  • Change typography
  • Adjust alignment
  • Update colors

Why This Project is Useful

This project is excellent for developers learning:

  • Next.js App Router
  • AI API integration
  • Fabric.js
  • Canvas-based applications
  • Serverless architecture
  • SaaS-style frontend systems

It can also be expanded into:

  • A paid SaaS platform
  • Event invitation generator
  • Greeting card business
  • Festival wishes generator
  • Social media content tool

Deployment

The project is optimized for deployment on:

  • Vercel
  • Netlify
  • VPS servers

For Vercel:

  1. Push project to GitHub
  2. Import repository
  3. Add environment variables
  4. Deploy

Customization Ideas

You can extend this project by adding:

  • User authentication
  • Database storage
  • Premium templates
  • QR codes
  • Voice birthday wishes
  • Sticker libraries
  • Video exports
  • AI image generation

Final Thoughts

This is a complete modern AI project that combines:

  • Next.js
  • TypeScript
  • AI APIs
  • Interactive canvas editing
  • Image processing

If you want to learn how modern AI web apps are built, this project is a strong practical example.

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