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GraphQL to C# record Converter

Paste a GraphQL sample, get production-ready C# record code. Runs entirely in your browser.

Examples:

Simple SDL with non-null and optional fields

InputGraphQL
OutputC# record

About this converter

This free tool converts GraphQL into C# record. GraphQL Schema Definition Language (SDL). C# record type. The conversion runs entirely client-side: nothing is uploaded, nothing is logged. Useful when you want to skip writing types by hand for an API response, a database row, or a config payload.

Why convert GraphQL to C# record

  • Generate C# records that play nicely with System.Text.Json.
  • Express immutable DTOs without the Get/Set ritual.
  • Use init-only properties to keep instances safe to share.

How to use

  1. Paste your GraphQL on the left panel, or pick one of the sample tabs above.
  2. The converter infers field names, optionality, and types automatically.
  3. Copy the generated C# record on the right and drop it straight into your codebase.

Common pitfalls

  • Inferred types only see the payload you pasted. Add nullable / optional flags for fields that can be missing.
  • Numeric types are inferred as integer or float based on the sample. Real APIs sometimes return both — widen to a number/float type when in doubt.
  • Empty arrays default to an `unknown` element type. Paste a non-empty sample to get a meaningful element type.

FAQ

Is this graphql to c# record converter free?
Yes. It is fully free, no signup, and runs entirely in your browser. We do not store your input.
Does it work with nested objects and arrays?
Yes. Nested objects produce separate named types, and arrays infer the element type from the first non-null sample.
What about optional / nullable fields?
Fields whose value is null in the sample (or marked optional in JSON Schema / Prisma / GraphQL) are marked optional/nullable in the output. For real APIs, you may want to widen optionality manually after generation.
Can I generate C# Record from multiple GraphQL samples?
Today the tool processes a single sample. For more aggressive inference across multiple shapes, run the converter on the union/merge of your samples or open an issue.
Is the source code available?
Yes — the entire project is open source. See the GitHub link in the footer.

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