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Protocol Buffers to TypeScript Converter

Paste a Protocol Buffers sample, get production-ready TypeScript code. Runs entirely in your browser.

Examples:

proto3 message with primitive fields

InputProtocol Buffers
OutputTypeScript

About this converter

Many teams use Protobuf for backend RPC and TypeScript for the front-end. This converter helps when you need a quick TS shape for a proto without pulling in protoc / ts-proto.

Why convert Protocol Buffers to TypeScript

  • Stop writing types by hand — derive them from real payloads to avoid drift.
  • Document API shapes in a way the IDE can actually use.
  • Ship safer client code that breaks at compile time when contracts change.

How to use

  1. Paste your Protocol Buffers 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 TypeScript 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 protocol buffers to typescript 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 TypeScript from multiple Protocol Buffers 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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