Use cases
OpenAPI2Code turns one OpenAPI or Swagger spec into typed models for seven ecosystems at once. Here's where that's actually useful.
A typed frontend, kept in sync with the backend
Point the CLI at your API's spec and generate TypeScript
interfaces, Zod schemas, or both in one run
(--target ts,zod) as part of
your build. When the backend adds a field or changes a type, the
next generation run picks it up automatically. No hand-maintained
model files quietly drifting out of date.
One spec, three native mobile codebases
iOS, Android, and Flutter teams working from the same API
traditionally hand-write and hand-maintain three separate model
layers. That's three places for the same field to get named
differently, typed differently, or just forgotten. Generate
Swift Codable structs,
Kotlin data classes, and
Dart classes from the same spec instead. Each comes with idiomatic
camelCase fields and hand-written JSON (de)serialization, so the
consuming app needs no extra runtime dependency.
Catching breaking API changes at build time
Regenerate types as a CI step whenever the spec changes. If a field becomes optional, an enum value gets removed, or a property gets renamed, it shows up as a compile error in the generated types, not as a runtime surprise in production.
Typed Python services and data pipelines
Generate stdlib
dataclasses for a
zero-dependency internal client, Pydantic
BaseModels for a FastAPI
service that needs real request validation, or both in one run
(--target python,pydantic).
Both share the same field names and structure, so a dataclass
consumer and a Pydantic service built from the same spec never
quietly disagree about a type.
Quick spec inspection, no install
Paste or drop a spec into the playground to see exactly what it generates, in any of the seven targets, before committing to anything. The whole engine runs client-side, compiled to WebAssembly, so nothing you paste is ever sent anywhere. Most OpenAPI code generators need a JVM, a Docker image, or a language-specific toolchain installed before you can see any output. This one just needs a browser tab.
Offline, air-gapped, or behind a strict proxy
The CLI is a single static binary with no runtime dependencies, and it makes no network calls of its own beyond fetching the spec you give it. That means it works the same behind a corporate proxy, on a disconnected build machine, or in a locked-down CI runner as it does anywhere else.