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Learn "Zod" In 5 Minutes

Goals of Zod

  1. Validation library (Schema first)
  2. First class typescript support (No need to write types twice)
  3. Immutable (Functional programming)
  4. Super small library (8kb)


Can be used with Node/Deno/Bun/Any Browser etc.

npm i zod
import { z } from "zod";
Must have strict: true in tsconfig file

Basic Usage

// creating a schema
const UserSchema = z.object({
  username: z.string(),

// extract the inferred type
type User = z.infer<typeof UserSchema>;
// { username: string }

const user: User = {username: "Arafat"}

// parsing
UserSchema.parse(user); // => {username: "Arafat"}
UserSchema.parse(12); // => throws ZodError

// "safe" parsing (doesn't throw error if validation fails)
// => { success: true; data: {username: "Arafat"} }

// => { success: false; error: ZodError }
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Basic Types

import { z } from "zod";

// primitive values

// empty types
z.void(); // accepts undefined

// catch-all types
// allows any value

// never type
// allows no values
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All types in Zod have an optional options parameter you can pass as the last param which defines things like error messages.

Also many types has validations you can chain onto the end of the type like optional

optional() - Makes field optional
nullable - Makes field also able to be null
nullish - Makes field able to be null or undefined

Some of the handful string-specific validations

z.string().trim(); // trim whitespace
z.string().datetime(); // defaults to UTC, see below for options
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Some of the handful number-specific validations

z.number().gte(5); // alias .min(5)
z.number().lte(5); // alias .max(5)

z.number().int(); // value must be an integer

z.number().positive(); //     > 0
z.number().nonnegative(); //  >= 0
z.number().negative(); //     < 0
z.number().nonpositive(); //  <= 0

z.number().multipleOf(5); // Evenly divisible by 5. Alias .step(5)

z.number().finite(); // value must be finite, not Infinity or -Infinity
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Default Values

Can take a value or function.
Only returns a default when input is undefined.



const one = z.literal("one");

// retrieve literal value
one.value; // "one"

// Currently there is no support for Date literals in Zod.
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Zod Enums

const FishEnum = z.enum(["Salmon", "Tuna", "Trout"]);

type FishEnum = z.infer<typeof FishEnum>;
// 'Salmon' | 'Tuna' | 'Trout'

// Doesn't work without `as const` since it has to be read only
const VALUES = ["Salmon", "Tuna", "Trout"] as const;
const fishEnum = z.enum(VALUES);

fishEnum.enum.Salmon; // => autocompletes

TS Enums: (You should use Zod enums when possible)

enum Fruits {
const FruitEnum = z.nativeEnum(Fruits);



// all properties are required by default
const Dog = z.object({
  name: z.string(),
  age: z.number(),

// extract the inferred type like this
type Dog = z.infer<typeof Dog>;

// equivalent to:
type Dog = {
  name: string;
  age: number;
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.shape.key - Gets schema of that key; // => string schema
Dog.shape.age; // => number schema
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.extend - Add new fields to schema

const DogWithBreed = Dog.extend({
  breed: z.string(),
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.merge - Combine two object schemas

const BaseTeacher = z.object({ students: z.array(z.string()) });
const HasID = z.object({ id: z.string() });

const Teacher = BaseTeacher.merge(HasID);
type Teacher = z.infer<typeof Teacher>; // => { students: string[], id: string }
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.pick/.omit/.partial - Same as TS

const Recipe = z.object({
  id: z.string(),
  name: z.string(),
  ingredients: z.array(z.string()),

// To only keep certain keys, use .pick
const JustTheName = Recipe.pick({ name: true });
type JustTheName = z.infer<typeof JustTheName>;
// => { name: string }

// To remove certain keys, use .omit
const NoIDRecipe = Recipe.omit({ id: true });
type NoIDRecipe = z.infer<typeof NoIDRecipe>;
// => { name: string, ingredients: string[] }

// To make every key optional, use .partial
type partialRecipe = Recipe.partial();
// { id?: string | undefined; name?: string | undefined; ingredients?: string[] | undefined }
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.deepPartial - Same as partial but for nested objects

const user = z.object({
  username: z.string(),
  location: z.object({
    latitude: z.number(),
    longitude: z.number(),
  strings: z.array(z.object({ value: z.string() })),

const deepPartialUser = user.deepPartial();

  username?: string | undefined,
  location?: {
    latitude?: number | undefined;
    longitude?: number | undefined;
  } | undefined,
  strings?: { value?: string}[]
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passThrough - Let through non-defined fields

const person = z.object({
  name: z.string(),

  name: "bob dylan",
  extraKey: 61,
// => { name: "bob dylan" }
// extraKey has been stripped

// Instead, if you want to pass through unknown keys, use .passthrough()
  name: "bob dylan",
  extraKey: 61,
// => { name: "bob dylan", extraKey: 61 }
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.strict - Fail for non-defined fields

const person = z
    name: z.string(),

  name: "bob dylan",
  extraKey: 61,
// => throws ZodError
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const stringArray = z.array(z.string()); - Array of strings

.element - Get schema of array element

stringArray.element; // => string schema
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.nonempty - Ensure array has a value

const nonEmptyStrings = z.string().array().nonempty();
// the inferred type is now
// [string, ...string[]]

nonEmptyStrings.parse([]); // throws: "Array cannot be empty"
nonEmptyStrings.parse(["Ariana Grande"]); // passes
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.min/.max/.length - Gurantee certail size

z.string().array().min(5); // must contain 5 or more items
z.string().array().max(5); // must contain 5 or fewer items
z.string().array().length(5); // must contain 5 items exactly
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Advanced Types


Fixed length array with specific values for each index in the array

Think for example an array of coordinates.

z.tuple([z.number(), z.number(), z.number().optional()])

.rest - Allow infinite number of additional elements of specific type

const variadicTuple = z.tuple([z.string()]).rest(z.number());
const result = variadicTuple.parse(["hello", 1, 2, 3]);
// => [string, ...number[]];


Can be combined with things like arrays to make very powerful type checking.

let stringOrNumber = z.union([z.string(), z.number()]);
// same as
let stringOrNumber = z.string().or(z.number());

stringOrNumber.parse("foo"); // passes
stringOrNumber.parse(14); // passes

Discriminated unions

Used when one key is shared between many types.

Useful with things like statuses.

Helps Zod be more performant in its checks and provides better error messages

const myUnion = z.discriminatedUnion("status", [
  z.object({ status: z.literal("success"), data: z.string() }),
  z.object({ status: z.literal("failed"), error: z.instanceof(Error) }),

myUnion.parse({ status: "success", data: "yippie ki yay" });


Useful when you don't know the exact keys and only care about the values

z.record(z.number()) - Will gurantee that all the values are numbers

z.record(z.string(), z.object({ name: z.string() })) - Validates the keys match the pattern and values match the pattern. Good for things like stores, maps and caches.


Usually want to use this instead of key version of record

const stringNumberMap =, z.number());

type StringNumberMap = z.infer<typeof stringNumberMap>;
// type StringNumberMap = Map<string, number>
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Works just like arrays (Only unique values are accepted in a set)

const numberSet = z.set(z.number());
type NumberSet = z.infer<typeof numberSet>;
// type NumberSet = Set<number>
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Does validation in two steps:

  1. Ensures object is promise
  2. Hooks up .then listener to the promise to validate return type.
const numberPromise = z.promise(z.number());

// ZodError: Non-Promise type: string

// => Promise<number>

const test = async () => {
  await numberPromise.parse(Promise.resolve("tuna"));
  // ZodError: Non-number type: string

  await numberPromise.parse(Promise.resolve(3.14));
  // => 3.14
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Advanced Validation


const email = z.string().refine((val) => val.endsWith(""),
{message: "Email must end with"}
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Also you can use the superRefine method to get low level on custom validation, but most likely won't need it.

Handling Errors

Errors are extremely detailed in Zod and not really human readable out of the box. To get around this you can either have custorm error messages for all your validations, or you can use a library like zod-validation-error which adds a simple fromZodError method to make error human readable.

import { fromZodError } from "zod-validation-error"

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There are many more concepts of Zod, and I can't explain all that stuff here. However, If you want to discover them, head to Zod's official documentation. They've explained everything perfectly there.

So, this was it, guys. I hope you guys will like this crash course. I've tried my best to pick all of the essential concepts of Zod and explain them. If you have any doubts or questions, then feel free to ask them in the comment section. I will answer as soon as I see it. See you all in my next article😊.

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Top comments (5)

magnuspladsen profile image
Magnus Pladsen

Very nice! I'm currently using Yup on a project at work, but kinda sad i did now know about Zod before. This looks much simpler and easier to work with! Thanks for the guide!

thestope profile image

What is mySchema? What does parse do, and why does it turn an object you've just declared as {username:Arafat} into the single string "tuna"?

I'm being facetious but some of these examples could use a bit more context.

arafat4693 profile image
Arafat • Edited

Sorry, I think that was a mistake by me. It is now fixed😊

josuemb profile image
Josué Martínez Buenrrostro • Edited

Nice article. Very useful to introduce anyone to zod.
There is a typo in point 3 of the section "Goals of zod" it is written as "porgramming" instead of "programming".

arafat4693 profile image

Thanks for letting me know😊