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Zod Schema Visualizer

Zod Schema Visualizer: Visualize Zod object schemas, validators, and validation documentation structure.

Examples
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Move this preview into a nearby workflow for conversion, debugging, or export.

Schema documentation workflowjson-schema-visualizerjson-schema-form-previewzod-schema-visualizertypescript-interface-visualizer

How to use

  1. 1Examples: choose an example or paste your own Zod schemas.
  2. 2Review the rendered relationships, field names, resource references, or request order.
  3. 3Export the SVG/PNG or keep the source with your documentation.

Common use cases

API documentation and debuggingArchitecture and platform docsAI-generated draft review before publishing

FAQ

Can I use generated or production-like source?

Yes, but remove secrets, tokens, private hostnames, and customer data before pasting any source.

Use this tool to turn existing developer source into a visual explanation that is easier to review in docs, tickets, and architecture notes.

Start with a small sample, verify the relationships, then paste the larger source once the workflow is clear.

Keep the source next to exported SVG or PNG files so diagrams remain reviewable and editable.

Demo: preview a Zod validation schema

Zod schemas combine type shape and runtime validation. A visual preview helps reviewers understand required fields, refinements, enums, and nested objects.

  • Show field names and validators together.
  • Separate transform logic from simple validation when possible.
  • Use preview screenshots in PRs for form or API validation changes.
const UserSchema = z.object({
  email: z.string().email(),
  role: z.enum(["admin", "member"]),
  age: z.number().int().min(18).optional()
});

Validation checklist: schema diagrams need examples

A diagram explains the rules, but examples prove whether the schema matches real input. Pair the preview with valid and invalid payloads.

  • Test missing required fields.
  • Test invalid enum and format values.
  • Check transforms and defaults separately from validation.
valid: {"email":"ada@example.com","role":"member"}
invalid: {"email":"ada","role":"owner"}

Review checklist for Zod Schema Visualizer

Use Zod Schema Visualizer when you need to inspect source content visually before it becomes documentation, a pull request note, an incident write-up, or a handoff artifact. Zod Schema Visualizer: Visualize Zod object schemas, validators, and validation documentation structure.

Before exporting, check that labels are readable, relationships match the source, generated examples do not contain private data, and the preview still makes sense after you edit the input.

Limits and troubleshooting

If the preview fails, reduce the input to the smallest complete example, confirm the format syntax, and then add sections back one at a time. Many rendering failures come from partial files, indentation mistakes, missing diagram headers, or copied snippets that depend on hidden context.

Treat the preview as a review surface rather than a source of truth. Generated diagrams, converted files, dashboards, and rule examples should be checked before they are used in production documentation or operations.

Example inputs to test

  • User schema: const UserSchema = z.object({ id: z.string().uuid(), email: z.string().email(), name: z.string().min(1), roles: z.array(z.string()), active: z.boolean().default(true), })
  • Checkout schema: const CheckoutSchema = z.object({ cartId: z.string().min(1), paymentMethodId: z.string(), couponCode: z.string().optional(), savePaymentMethod: z.boolean().default(false), })
  • Env schema: const EnvSchema = z.object({ NODE_ENV: z.enum(["development", "production"]), DATABASE_URL: z.string().url(), REDIS_URL: z.string().url().optional(), PORT: z.coerce.number().defaul...

Tool maturity

Advanced preview

Advanced parser

This tool extracts useful structure and relationships from developer input. Complex edge cases should still be checked against the source.

The maturity label is not a quality score. It tells visitors whether the tool is best for stable export, deeper debugging, quick parsing, or AI-assisted generation.