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Format, validate, minify JSON with JSONPath queries, tree view explorer, schema validation, diff comparison, and sort keys. Multiple indent styles
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Paste a JSON object and this tool infers a JSON Schema definition from it automatically. It detects types, required fields, nested objects, arrays, enums, and patterns — giving you a schema you can use for validation, documentation, or API contract definitions. Manually writing JSON Schema from scratch is slow and error-prone; this generator handles the boilerplate so you can focus on refining the rules.
Generate a schema from a sample API response and use it to validate future responses, catching breaking changes early.
Create validation schemas for form submissions by generating a schema from expected input, then adding constraints like required fields and patterns.
Generate a schema for application config files so that invalid configurations are caught before deployment.
Use the generated schema as the basis for API documentation, ensuring docs stay aligned with actual data structures.
Define schemas for data flowing between services or pipeline stages, enabling automated validation at each step.
Input: {"name": "Alice", "age": 30, "email": "alice@example.com"} generates a schema with string, integer, and string (format: email) types, all marked as required.
Input: {"team": "Engineering", "members": [{"name": "Bob", "role": "dev"}]} generates nested object schemas with array item definitions.
The generator analyzes your sample JSON recursively: it determines the type of each value, identifies which fields are present (marking them as required), infers array item types, and detects potential enum values when arrays contain a small set of distinct strings. For nested objects, it generates nested schema definitions. The output follows the JSON Schema draft-07 specification by default and can be adjusted. You can then edit the generated schema to add constraints like minLength, maximum, pattern, or custom validation rules that cannot be inferred from a single sample.
The output follows JSON Schema draft-07 by default, which is widely supported by validation libraries in most programming languages.
Providing multiple samples improves inference — the tool can detect optional fields (present in some samples but not others) and union types.
Basic format detection (date-time strings, email patterns, URIs) may be inferred from common patterns, but you should verify and add explicit format annotations for accuracy.
Yes. The output is fully editable. Add minLength, maximum, pattern, or any other JSON Schema keyword to refine the validation rules beyond what can be inferred automatically.
All processing happens directly in your browser. Your files never leave your device and are never uploaded to any server.