What Is Pydantic?
Pydantic is a Python library for data validation using Python type annotations. Generating Pydantic models from JSON Schema ensures your Python data models are always valid against the schema.
JSON Schema to Pydantic generation is used for:
- FastAPI: Creating request/response models from OpenAPI schemas.
- Data Validation: Ensuring JSON data conforms to expected structure.
- Configuration: Type-safe configuration file parsing.
How to Use
- Paste your JSON: Copy a sample JSON response from your API or editor.
- Click Convert: Press the button to process your input.
- Review Output: Your result appears instantly in the output panel.
- Copy to Project: Use the Copy button to grab the result and paste it into your project.
Frequently Asked Questions
How are nested objects handled?
Nested objects generate their own named type definition, referenced from the parent type. This keeps your code organized and reusable.
How are arrays typed?
Arrays infer their element type from the first item. Arrays of objects generate a collection type of the corresponding object type.
Is this tool safe to use?
Absolutely. This tool operates 100% client-side. Your JSON data never leaves your browser and is processed locally. We do not store, track, or upload your data.
Related Tools
- JSON to C — Generate C struct definitions with JSON parsing support from JSON data samples.
- JSON to C++ — Generate C++ class definitions with JSON serialization support from JSON data samples.
- JSON to Groovy — Generate Groovy class definitions with JSON parsing support from JSON data samples.