JSON → TypeScript interfaces
ClientPaste a JSON object or array to emit export interface declarations aligned with the sample—handy for typing API responses before you wire fetch or JSON.parse.
Learn more: JSON and TypeScript
Paste a sample JSON object or array to generate TypeScript interfaces that mirror its shape—a starting point for typing parsed data or REST payloads.
Interfaces vs runtime data
TypeScript types describe the expected form of values at compile time; JSON from the network is still untyped at runtime until you validate or narrow it. Generated interfaces capture field names and nesting from one example so you can annotate `JSON.parse` results or generic helpers.
From sample to types
One response does not prove every future payload matches, but it documents keys and structure for a first draft. You may add optional properties, unions, branded types, or stricter number literals once you know your API contract.
Scope
Like the C# and Java generators on this hub, this flow is JSON → TypeScript scaffolding only. It does not read existing `.ts` files or produce runtime validators—pair with your team’s schema or test strategy when correctness matters.
JSON → TypeScript
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Parses JSON in your browser and emits classes inferred from the sample shape. Nested objects become nested types; arrays use the first element only to guess item shape. Nothing is uploaded.
Property names use camelCase when safe; adjust unions, optional fields, and readonly to match your API contract.
Common use cases
- Bootstrap interfaces for fetch() responses while exploring a new HTTP API.
- Turn example config JSON into typed shapes before moving settings into typed modules.
- Share readable type scaffolding in docs or PRs when the payload is stable enough to sample.
Common mistakes to avoid
Treating one response as the full contract
Optional fields, unions, and discriminated variants appear only when samples include them—merge multiple examples or use JSON Schema when strictness matters.
Shipping generated names without review
Rename interfaces and properties to match your codebase conventions; generated labels are a starting point.
FAQ
Is TypeScript generated on your servers?
No. Inference runs locally from the JSON you paste.
Should this replace OpenAPI or JSON Schema tooling?
Use it for quick drafts. For published APIs, prefer schema-first sources that encode optionality and validation rules explicitly.
More tools
Related utilities you can open in another tab—mostly client-side.
JSON → C# classes
ClientPOCOs from sample JSON with JsonPropertyName.
JSON → Python TypedDict
ClientTypedDict scaffolding from sample JSON—nested shapes inferred in the browser.
JSON → Rust structs (serde)
ClientSerde structs with JSON renames from sample data—local only.
JSON sort keys
ClientRecursively sort object keys for stable JSON text—pretty or minify, client-side.