Transform JSON data into lightweight, tree-shakable Valibot schema definitions with v.object, v.string, v.number, and array validators.
import * as v from 'valibot';
export const RootPaymentSummarySchema = v.object({
currency: v.string(),
subtotal: v.pipe(v.number(), v.integer()),
tax: v.number(),
shippingFee: v.pipe(v.number(), v.integer()),
grandTotal: v.number(),
transactionRef: v.string(),
status: v.string()
});
export type RootPaymentSummary = v.InferOutput<typeof RootPaymentSummarySchema>;
export const RootItemsItemSchema = v.object({
sku: v.string(),
title: v.string(),
quantity: v.pipe(v.number(), v.integer()),
unitPrice: v.number(),
discount: v.nullable(v.number()),
tags: v.array(v.string()),
inStock: v.boolean()
});
export type RootItemsItem = v.InferOutput<typeof RootItemsItemSchema>;
export const RootShippingAddressSchema = v.object({
street: v.string(),
suite: v.string(),
city: v.string(),
state: v.string(),
postalCode: v.string(),
country: v.string(),
coordinates: RootShippingAddressCoordinatesSchema
});
export type RootShippingAddress = v.InferOutput<typeof RootShippingAddressSchema>;
export const RootShippingAddressCoordinatesSchema = v.object({
latitude: v.number(),
longitude: v.number()
});
export type RootShippingAddressCoordinates = v.InferOutput<typeof RootShippingAddressCoordinatesSchema>;
export const RootCustomerSchema = v.object({
id: v.pipe(v.number(), v.integer()),
fullName: v.string(),
email: v.pipe(v.string(), v.email()),
phone: v.string(),
tier: v.string(),
loyaltyPoints: v.pipe(v.number(), v.integer())
});
export type RootCustomer = v.InferOutput<typeof RootCustomerSchema>;
export const RootSchema = v.object({
orderId: v.pipe(v.string(), v.uuid()),
orderNumber: v.string(),
createdAt: v.pipe(v.string(), v.isoTimestamp()),
isFulfilled: v.boolean(),
customer: RootCustomerSchema,
shippingAddress: RootShippingAddressSchema,
items: v.array(RootItemsItemSchema),
paymentSummary: RootPaymentSummarySchema
});
export type Root = v.InferOutput<typeof RootSchema>;Deep JSON parsing and Valibot schema synthesis run entirely in your local browser sandbox with zero network telemetry.
Generates lightweight v.object() and modular import { object, string } syntax to keep client bundle sizes under 1KB.
Automatically detects emails, UUIDs, ISO datetimes, URLs, and numeric integer constraints with configurable strictness.
Transform JSON data into lightweight, tree-shakable Valibot schema definitions with v.object, v.string, v.number, and array validators.
Identifier name for the exported top-level Valibot schema and inferred TypeScript type.
Selects between namespace import (import * as v from 'valibot') and modular named imports (import { object, string } from 'valibot').
Appends an exported TypeScript static type definition inferred via v.InferOutput<typeof Schema>.
Configures the wrapper helper used for missing or null properties in JSON objects.
Valibot schemas leverage function-based modularity. Use named imports in frontend bundles to achieve up to 95% smaller bundle footprints compared to monolithic validator libraries like Zod.
Enhance primitive validators by piping validation actions: chain v.pipe(v.string(), v.email(), v.trim()) onto generated schemas for strict runtime sanitization.
Prefer v.safeParse(RootSchema, data) over throwing v.parse() in API route handlers and form submissions to capture structured typed issues without crashing the runtime.
Keys containing hyphens, spaces, or reserved words must be quoted as object properties. The generator automatically wraps non-standard keys in quotes.
When array elements have varying data types, the generator merges object shapes or produces union schemas with v.union(). Standardize array items or adjust optional field settings.
Valibot uses a modular, function-oriented design where each validation method is a standalone function. Modern bundlers can tree-shake unused code, reducing client validator bundles from 15-50 KB down to under 1 KB.
Use v.InferOutput<typeof RootSchema> for output types (after transformations) or v.InferInput<typeof RootSchema> for raw input data. For example: export type Root = v.InferOutput<typeof RootSchema>;.
No. The conversion executes entirely in your browser using local Abstract Syntax Tree (AST) tokenization and parsing. Zero server uploads occur, ensuring total privacy.
The generator recursively traverses nested JSON objects into nested v.object() schemas and arrays into v.array() schemas, preserving precise nesting levels and property types.
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