JSON Schema Generator
Paste an example JSON document and this tool infers its structure into a valid JSON Schema (draft-07). It detects the types of every field, marks required keys, builds array item schemas and nests nested objects automatically — a perfect starting point for API design, form validation and data contracts.
What is JSON Schema Generator – From Sample JSON?
Create a JSON Schema from a sample JSON document. Paste an example JSON document and this tool infers its structure into a valid JSON Schema (draft-07). It detects the types of every field, marks required keys, builds array item schemas and nests nested objects automatically — a perfect starting point for API design, form validation and data contracts. The tool runs 100% in your browser — nothing is uploaded to a server, so your data stays private, and it is free to use with no signup required.
Quick Answers
- How accurate is the generated schema?
- It reflects the types found in your sample document. Use a clean, representative sample and then refine the output with enums, formats and additional constraints.
- Which JSON Schema version is produced?
- The output targets draft-07, the most widely supported version by validators in JavaScript, Python and Java.
- How are arrays handled?
- The schema adds an items property inferred from the first elements. If elements have different shapes, an anyOf list is generated.
How to use JSON Schema Generator – From Sample JSON
- Paste a sample JSON document that represents your data shape.
- The tool infers types, required fields and array item schemas automatically.
- Copy the generated JSON Schema or download it as a file.
Why use our json schema generator – from sample json?
Writing JSON Schema by hand is tedious and error-prone. This generator builds a complete draft-07 schema from a single sample document: scalars become type definitions (string, integer, number, boolean, null), objects become nested properties blocks with a required list, and arrays get an items schema inferred from their elements. Start from one clean sample and then tighten the schema with your own constraints, enums and formats. It is the fastest way to bootstrap API request validation, mock data contracts and editor autocompletion. Everything runs in your browser.
Writing a schema by hand vs generating it from a sample
Hand-written schemas are precise but slow. Generated schemas boot-strap from real data in seconds — the right starting point you then tighten with constraints.
| Aspect | Hand-written schema | Generated from a sample |
|---|---|---|
| Setup time | Minutes to hours of typing | Seconds, from one pasted sample |
| Type accuracy | Depends on care | Read directly from real values |
| Required fields | Must be listed manually | Inferred from every present key |
| Nested objects | Hand-written nesting | Recursive inference |
| Array items | Described by hand | Inferred from elements, anyOf on mixed |
Turning one API response into a reusable schema
Designing API contracts starts with a schema. Paste one real response from your endpoint and let the generator infer every type, required field and array item before you hand it to the validation team.
Sample API response
{
"id": 4242,
"username": "ada_lovelace",
"email": "ada@example.com",
"admin": true,
"balance": 1999.75,
"roles": ["admin", "developer"],
"profile": {
"first_name": "Ada",
"last_name": "Lovelace",
"age": 36
}
}Generated JSON Schema
{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"id": { "type": "integer" },
"username": { "type": "string" },
"email": { "type": "string" },
"admin": { "type": "boolean" },
"balance": { "type": "number" },
"roles": {
"type": "array",
"items": { "type": "string" }
},
"profile": {
"type": "object",
"properties": {
"first_name": { "type": "string" },
"last_name": { "type": "string" },
"age": { "type": "integer" }
},
"required": ["first_name", "last_name", "age"]
}
},
"required": ["id", "username", "email", "admin", "balance", "roles", "profile"]
}Paste a representative JSON response from your API, database document, or form payload to bootstrap a draft-07 schema for validation, code generation and editor autocompletion.
Frequently Asked Questions
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