JSON to TypeScript
Quick Answer
Use the JSON Schema Generator to convert JSON into TypeScript interfaces. Paste your JSON, select the TypeScript tab, and copy the generated interfaces. The tool infers types automatically from your data structure.
Why Convert JSON to TypeScript?
- Type Safety: Catch errors at compile time instead of runtime
- IDE Support: Get autocomplete and IntelliSense for API responses
- Documentation: Interfaces serve as living documentation
- Refactoring: Easily update types when APIs change
Step-by-Step Instructions
- Open the tool: Navigate to the JSON Schema Generator.
- Select TypeScript tab: Click on the "TypeScript" tab to ensure TypeScript output.
- Paste your JSON: Copy your JSON sample and paste it into the input area on the left.
- Review the output: The tool generates TypeScript interfaces on the right side.
- Copy to your project: Click the copy button or select and copy the generated code.
- Paste into your TypeScript file: Add the interfaces to your project.
Example
Input JSON:
{
"id": 123,
"name": "John Doe",
"email": "john@example.com",
"isActive": true,
"roles": ["admin", "editor"],
"profile": {
"avatar": "https://example.com/avatar.jpg",
"bio": "Software developer"
}
}Generated TypeScript:
interface User {
id: number;
name: string;
email: string;
isActive: boolean;
roles: string[];
profile: Profile;
}
interface Profile {
avatar: string;
bio: string;
}Type Inference Rules
The tool makes intelligent decisions about types:
- Numbers: All numeric values become
number - Strings: Text values become
string - Booleans: true/false become
boolean - Arrays: Become
Type[]with the appropriate element type - Objects: Become nested interfaces
- Null values: Become union types like
string | null
Best Practices
- Use representative data: Paste JSON that includes all possible fields and value types
- Handle nulls: If a field can be null, include null in your sample JSON
- Review generated types: The tool infers from data, so verify types match your API contract
- Use strict mode: Enable TypeScript strict mode for maximum type safety
Common Problems and Solutions
Problem: All array items typed as any
Solution: Ensure your sample JSON has consistent types in arrays. Mixed types will result in any[] or union types.
Problem: Optional fields marked as required
Solution: The tool can't infer optionality from a single sample. Manually add ? to optional fields: name?: string
Problem: Date strings typed as string instead of Date
Solution: The tool treats dates as strings. Manually change to Date if your application parses them.
Related Tools
- JSON Schema Generator - Main conversion tool
- JSON to Zod Guide - For runtime validation
- JSON to Prisma Guide - For database models
FAQ
Q: Can I generate types from multiple JSON samples?
A: The tool processes one sample at a time. For complex APIs, consider combining samples or using tools like quicktype that support multiple samples.
Q: Does it support JSON Schema?
A: Yes, the tool also generates JSON Schema which can be used with various validators and code generators.
Q: Can I customize interface names?
A: The tool generates names based on keys. You'll need to manually rename interfaces after copying to your project.
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