Example
Input (sample JSON)
{
"id": 1,
"name": "Alice",
"active": true,
"tags": ["admin", "user"]
}Output (Draft 2020-12 Schema)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"id": { "type": "integer" },
"name": { "type": "string" },
"active": { "type": "boolean" },
"tags": {
"type": "array",
"items": { "type": "string" }
}
},
"required": ["id", "name", "active", "tags"]
}Note
Schema inferred from a single sample. Every observed field is marked required — remove optional ones manually, or merge schemas from multiple samples.
Usage / FAQ
When to use
- Extract a schema from an API response sample (Swagger / OpenAPI starter)
- Convert existing JSON data to a schema for validation rollout
- Learn JSON Schema by comparing input and output side-by-side
- Auto-generate schemas for test fixtures
- First step in a JSON → ts → schema workflow (pair with json-to-ts)
FAQ
- Q.Which Draft is produced?
- A.Draft 2020-12 — same as the JSON Schema Validator pair tool. The result includes a `$schema` URL.
- Q.Why is every field marked required?
- A.Single-sample inference can't tell which fields are optional, so every observed field is required. Remove optional ones manually after generation.
- Q.Does it detect format (email, uri, date)?
- A.Only base type inference for now — no pattern detection for email / uri / date. Add `format` constraints manually, then verify with the JSON Schema Validator pair tool.
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