JSON Schema Visualizer

Demo: review a request schema before API docs publish

Schema diagrams are most useful when they reveal which fields are required, which arrays contain objects, and where composition changes behavior.

• Required fields should stand out from optional metadata.
• Enums should be visible because they often become UI states or SDK constants.
• oneOf and anyOf need human explanation in docs, not only a visual branch.

{
  "type": "object",
  "required": ["email", "plan"],
  "properties": {
    "email": {"type": "string", "format": "email"},
    "plan": {"type": "string", "enum": ["free", "pro"]},
    "metadata": {"type": "object", "additionalProperties": true}
  }
}

This small schema already shows required fields, enum states, and open metadata.

Schema review: find breaking changes before clients do

JSON Schema diagrams are especially useful during API evolution. They make required fields, enum changes, nested arrays, nullable fields, and oneOf branches easier to review before a schema update ships.

• Treat newly required fields as breaking unless every client already sends them.
• Review enum additions with downstream validation rules.
• Flatten deeply nested oneOf or anyOf branches into review notes when the diagram becomes too dense.

{
  "type": "object",
  "required": ["id", "status"],
  "properties": {
    "status": {"enum": ["draft", "paid", "cancelled"]}
  }
}

Documentation pattern: pair schema trees with examples

A schema tree explains structure, but developers still need examples. Use the visualization to show required fields and branches, then place a small request or response example next to it.

• Use the tree for structure and the example for realistic values.
• Call out enum values that map to user-visible states.
• Explain oneOf or anyOf branches in prose when the visual tree becomes dense.

{
  "email": "user@example.com",
  "plan": "pro",
  "metadata": {"source": "checkout"}
}

Examples make a schema visualization more useful for SDK users and API consumers.