Think of a Zod Schema as a rulebook for your data. It’s where you define exactly what a piece of information should look like. For example, a “Sign Up” schema could have these rules:
  • An email field must be provided, and it must look like a real email address.
  • A password field must be provided, and it must be at least 8 characters long.
By creating these rulebooks, you ensure that the data flowing through your application is always clean, correct, and secure. Saasio uses the powerful Zod v4 library to make this possible without writing any code.

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Why Use Zod Schemas?

Zod Schemas are a versatile tool that you will use in many different parts of your application.

Powering Your Forms

This is the most common use case. By linking a Form element to a Zod Schema, you automatically get data structure and validation. The form will know which fields are required, what type of data to expect, and will even show error messages for you.

Validating Data in Workflows

Using the Validate Data action, you can check if any piece of data (e.g., from an API call) matches your schema’s rules before you try to save it to your database, ensuring data integrity.

Structuring AI Outputs

When working with the AI SDK, you can provide a Zod Schema to an AI model. This forces the AI to return its response in a perfectly structured JSON format that matches your rules, making AI outputs reliable and easy to work with.

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Creating a Zod Schema

Let’s create a simple SignUpSchema to define the rules for a user registration form.
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1. Navigate to the Zod Schemas Tab

In the top navigation bar, click the Data tab, then select the “Zod Schemas” sub-tab.
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2. Create a New Schema

Enter a name for your schema (e.g., SignUpSchema) and click “Create”.
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3. Add Fields and Validation Rules

With your new schema selected, click ”+ Add new field”. For each field, you must define its rules in the properties panel.

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Field Validation Rules

For each field in your schema, you can define:
  • Field Name: The name of the property (e.g., email).
  • Data Type: The type of data, such as Text, Number, or Boolean.
  • Validation Rules: A set of rules to enforce, such as:
    • Required: Is this field mandatory?
    • Minimum / Maximum Length: For text fields.
    • Email Format: Checks if the text is a valid email address.
    • Custom Error Message: You can write your own error message that will be shown to the user if their input is invalid.
Example: SignUpSchema Structure Here is how you would configure the fields for our SignUpSchema.
Field NameData TypeKey Validation RulesError Message Example
nameTextRequired, Minimum length: 2”Name must be at least 2 characters.”
emailEmailRequired”Please enter a valid email address.”
passwordTextRequired, Minimum length: 8”Password must be 8+ characters.”