Structured Output

Generate typed, validated JSON data using Zod schemas and the generateObject function.

corebeginnerstructured-output zod generateObject schema

Loading interactive preview...

Installation

Option 1: Install via CLI

pnpm dlx shadcn@latest add https://ai-sdk-patterns.vercel.app/r/structured-output

Automatically installs the pattern and its dependencies in your project.

Option 2: Copy or Download

Download the complete pattern as a standalone Next.js project.

Usage

1. Set up environment variables

# .env.local

ANTHROPIC_API_KEY=your_anthropic_key

OPENAI_API_KEY=your_openai_key

GOOGLE_GENERATIVE_AI_API_KEY=your_google_key

Add your AI provider API key to enable real functionality.

2. Run the development server

npm run dev

# or

pnpm dev

# or

yarn dev

Open http://localhost:3000 to see the pattern in action.

3. Customize for your needs

The pattern is ready to use. Modify the components, API routes, and styling to fit your application.

Update the UI components in app/page.tsx
Modify API logic in app/api/
Adjust styling with Tailwind CSS classes
Add your own business logic and data sources

Use Cases

API Response Generation

Generate consistent, validated JSON responses for APIs with predefined schemas ensuring data reliability.

Form Data Extraction

Extract structured information from unstructured text like emails, invoices, or documents into organized data.

Configuration File Generation

Create structured configuration files, deployment manifests, or settings files from natural language descriptions.

Data Validation Pipelines

Build systems that validate and transform data into specific formats for database storage or API consumption.

Technical Details

Dependencies

• Next.js 16+ (App Router)

• AI SDK v6

• React 18+

• Tailwind CSS

• TypeScript

Files Included

• app/page.tsx

• app/api/generate/route.ts

Related patterns

Streaming Chat

Stream text responses from AI models in real-time using streamText and the useChat hook.

Tool Calling

Let the AI model call functions and use external tools with the multi-step tool loop.

Structured Output

Generate typed, validated JSON data using Zod schemas and the generateObject function.

corebeginnerstructured-output zod generateObject schema

Topic

Click generate to see structured output...

🔒 Demo mode - uses `generateObject` with real AI providers

Loading interactive preview...

Installation

Option 1: Install via CLI

pnpm dlx shadcn@latest add https://ai-sdk-patterns.vercel.app/r/structured-output

Automatically installs the pattern and its dependencies in your project.

Option 2: Copy or Download

Download the complete pattern as a standalone Next.js project.

Usage

1. Set up environment variables

# .env.local

ANTHROPIC_API_KEY=your_anthropic_key

OPENAI_API_KEY=your_openai_key

GOOGLE_GENERATIVE_AI_API_KEY=your_google_key

Add your AI provider API key to enable real functionality.

2. Run the development server

npm run dev

# or

pnpm dev

# or

yarn dev

Open http://localhost:3000 to see the pattern in action.

3. Customize for your needs

The pattern is ready to use. Modify the components, API routes, and styling to fit your application.

Update the UI components in app/page.tsx
Modify API logic in app/api/
Adjust styling with Tailwind CSS classes
Add your own business logic and data sources

Use Cases

API Response Generation

Generate consistent, validated JSON responses for APIs with predefined schemas ensuring data reliability.

Form Data Extraction

Extract structured information from unstructured text like emails, invoices, or documents into organized data.

Configuration File Generation

Create structured configuration files, deployment manifests, or settings files from natural language descriptions.

Data Validation Pipelines

Build systems that validate and transform data into specific formats for database storage or API consumption.

Technical Details

Dependencies

• Next.js 16+ (App Router)

• AI SDK v6

• React 18+

• Tailwind CSS

• TypeScript

Files Included

• app/page.tsx

• app/api/generate/route.ts

Related patterns

Streaming Chat

Stream text responses from AI models in real-time using streamText and the useChat hook.

Tool Calling

Let the AI model call functions and use external tools with the multi-step tool loop.