Input example
{
"id": 101,
"email": "user@example.com",
"active": true,
"roles": ["admin", "editor"]
}JSON developer tool
Paste a sample JSON object and generate a starter JSON Schema for validation, API documentation, data contracts, forms, and integration checks.
Generate schemaBrowser tool
The input is processed locally in your browser. Review the generated schema before using it in production.
Paste or upload JSON, then generate the schema.
A JSON Schema generator reads a sample JSON document and creates a schema that describes the shape of that data. Instead of writing every property by hand, you can start with a real example and let the tool detect objects, arrays, strings, numbers, integers, booleans, and null values. The generated schema is useful when you need a quick starting point for API validation, form rules, data import checks, documentation, or integration contracts.
This tool is especially helpful when you receive JSON from a webhook, export, API response, or third-party service and need to explain what fields exist. A schema can make the data easier to discuss with developers, QA testers, support teams, or clients because it separates the structure from one specific example.
Example
This example shows how a simple user object becomes a starter JSON Schema.
{
"id": 101,
"email": "user@example.com",
"active": true,
"roles": ["admin", "editor"]
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "Generated JSON Schema",
"type": "object",
"properties": {
"id": { "type": "integer" },
"email": { "type": "string" },
"active": { "type": "boolean" },
"roles": {
"type": "array",
"items": { "type": "string" }
}
},
"required": ["id", "email", "active", "roles"]
}Use this JSON Schema generator when you are documenting an API response, preparing a validation rule, describing a webhook payload, checking a data import format, or creating a first draft for a configuration contract. It is also useful for learning because you can paste different examples and see how strings, numbers, arrays, nested objects, booleans, and null values are represented in schema form.
The generated output should be treated as a starter schema. A single JSON example cannot always reveal optional fields, allowed enum values, string formats such as email or date-time, minimum and maximum numbers, unique array rules, or business-specific constraints. After generating the schema, review it and add the rules that your real application requires.
Common mistakes
The tool marks object keys from the sample as required because they exist in that example. Remove fields from required if they are optional in real data.
A value like user@example.com is detected as a string. Add format rules such as email, uri, date, or date-time manually when your validator supports them.
Use several real examples when possible. A single sample may not show every field, array variant, null value, or alternate object shape.
Schema generation can detect structure, but it cannot know your product rules. Add enum, minimum, maximum, pattern, and length rules after review.
The JSON Schema generator is designed to run in your browser. Your pasted JSON is processed by client-side JavaScript so you can create a schema quickly without creating an account. Share links can include the content you entered, so only use them for JSON examples that are safe for another person to view.
Do not paste passwords, API keys, private access tokens, customer records, payment data, confidential production payloads, or internal identifiers into any online tool unless your policy allows it. If you need to discuss a private structure, create a small fake example with the same fields and safe placeholder values.
FAQ
It reads a valid JSON example and creates a starter JSON Schema that describes detected object, array, string, number, integer, boolean, and null values.
It is a useful starting point, but you should review optional fields, formats, enum values, limits, patterns, and business rules before using it in production.
Yes. If you paste an array, the tool creates an array schema and infers the item shape from the sample values.
The generator must parse valid JSON before it can create a schema. For a dedicated syntax check, use the JSON validator page.