JSON to Zod Schema Generator
指导
JSON to Zod Schema Generator
Convert any JSON data into a ready-to-use Zod validation schema. Paste your JSON and get correctly typed Zod code with recursive type inference, string pattern detection for dates, UUIDs, emails, and URLs, automatic enum detection for fields with limited unique values, and optional field handling when processing arrays of objects.
如何使用
Paste your JSON into the input area or click the sample button to load example data. The tool instantly generates the corresponding Zod schema. Toggle between TypeScript and plain JavaScript output. Enable strict mode for exact object shapes or passthrough mode to allow unknown keys. Optionally add a type inference export line. Customize the schema variable name and copy the output to your clipboard.
特征
- 递归类型推断 – Handles nested objects, arrays, mixed types with z.union(), and all primitive types
- String Pattern Detection – Automatically detects ISO dates, UUIDs, emails, URLs, and IP addresses and applies the matching Zod validators
- Enum Detection – When a string field has fewer than 6 unique values across array items, suggests z.enum() instead of z.string()
- 可选字段检测 – Fields not present in all array items are automatically marked as .optional()
- Strict vs Passthrough – Toggle between .strict() for exact shapes or .passthrough() to allow unknown keys
- TypeScript 输出 – Switch between TypeScript and plain JavaScript with optional z.infer type export
- 实时生成 – Schema updates instantly as you type or paste JSON
- 复制到剪贴板 – One-click copy of the generated schema code
常问问题
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What is Zod and why should I use it?
Zod is a TypeScript-first schema validation library that lets you define data shapes and validate them at runtime. Unlike TypeScript types which only exist at compile time and are erased in production, Zod schemas validate actual data flowing through your application. This catches malformed API responses, invalid form inputs, and unexpected data shapes before they cause bugs. Zod integrates well with React Hook Form, tRPC, and Next.js server actions, making it the most popular runtime validation library in the TypeScript ecosystem.
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How does the tool detect string patterns like dates and emails?
The tool uses regular expressions to match common string patterns in your JSON values. ISO 8601 datetime strings like 2024-01-15T10:30:00Z are detected and mapped to z.string().datetime(). UUID v4 strings are mapped to z.string().uuid(). Email addresses get z.string().email(), URLs get z.string().url(), and IP addresses get z.string().ip(). This means your generated schema includes built-in validation for these common formats rather than just z.string(), giving you more precise type safety and validation out of the box.
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What is the difference between strict and passthrough mode?
In strict mode, the generated schema uses z.object().strict(), which means any properties not defined in the schema will cause validation to fail. This is useful when you want to ensure no extra data sneaks through. Passthrough mode uses z.object().passthrough(), which allows unknown properties to pass through without validation. Use strict mode for security-sensitive data like API inputs. Use passthrough mode when you only care about specific fields and want to ignore the rest, such as when consuming a third-party API that may add new fields.
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How does optional field detection work with arrays of objects?
When your JSON contains an array of objects, the tool compares all objects in the array to determine which fields are present in every item versus only some items. Fields that appear in all objects become required in the schema. Fields that are missing from at least one object are marked with .optional(). This is especially useful when working with real API responses where some records have nullable or missing fields. The tool merges all object shapes intelligently so you get one comprehensive schema that handles all variations in your data.
