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GraphQL Schema Visualizer

Visualize GraphQL types, inputs, interfaces, fields, and relationships.

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How to use

  1. 1Paste a focused GraphQL SDL schema or load a sample.
  2. 2Review object types, input types, interfaces, enums, field nullability, and nested relationships.
  3. 3Check query and mutation entry points before reviewing deeper domain types.
  4. 4Look for removed fields, renamed enums, and nullable-to-non-null changes before publishing.
  5. 5Export the visualization for API docs, schema review notes, or SDK onboarding.

Common use cases

GraphQL API documentationSchema breaking-change reviewClient onboardingNested query explanationAI-generated schema validation

Related tools

SQL to ER Diagram

Convert CREATE TABLE SQL into a Mermaid ER diagram.

JSON Schema Visualizer

Inspect JSON Schema properties, types, required fields, and composition groups.

JSON Schema Form Preview

Turn JSON Schema properties, required fields, enums, and formats into a form preview.

FAQ

What is GraphQL Schema Visualizer for?

Visualize GraphQL types, inputs, interfaces, fields, and relationships.

Does it require an account?

No. The tool page can be used directly in the browser.

Which GraphQL changes are risky for clients?

Removed fields, enum removals, renamed types, argument changes, and nullable-to-non-null changes can break clients even when the schema still validates.

How should I make a large GraphQL schema readable?

Start from one query or mutation area, then include only the related object, input, enum, and interface types needed to explain that workflow.

GraphQL Schema Visualizer turns SDL into a visual map of object types, input types, enums, interfaces, fields, and relationships.

Use it for API contract review when nested GraphQL schemas become hard to scan as text, especially before SDK docs or client-facing changes are published.

The visualization helps reviewers discuss breaking changes, query cost, nullability, and relationships while keeping the schema source editable.

Demo: visualize GraphQL types and fields

GraphQL schemas become easier to discuss when object types, inputs, enums, and relationships are visible. A preview helps API teams review schema shape before publishing changes.

  • Separate query, mutation, and domain object types.
  • Look for fields that return broad JSON scalars without documentation.
  • Check whether input types mirror object types too closely.
type Query { order(id: ID!): Order }
type Order { id: ID!, items: [OrderItem!]!, status: OrderStatus! }
enum OrderStatus { DRAFT PAID CANCELLED }

Schema review: catch breaking GraphQL changes

GraphQL changes can break clients even when the schema still validates. Visual review helps catch removed fields, changed nullability, and enum value assumptions.

  • Treat nullable-to-non-null changes as client-impacting.
  • Review enum removals and renamed fields carefully.
  • Use relationship diagrams to explain nested query cost.
Before: user.name: String
After: user.name: String!
Risk: clients that handle null differently

Documentation pattern: start from Query and Mutation

A GraphQL diagram is easier to read when it starts with the operations users call. From there, expand only the related types that explain the response shape or input contract.

  • Show Query and Mutation entry points first.
  • Keep pagination types close to the list fields that use them.
  • Explain expensive nested relationships in docs beside the diagram.
type Query {
  order(id: ID!): Order
}
type Mutation {
  createOrder(input: CreateOrderInput!): Order!
}

Review checklist for GraphQL Schema Visualizer

Use GraphQL 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. Visualize GraphQL types, inputs, interfaces, fields, and relationships.

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

  • Commerce: type User { id: ID! orders: [Order!]! } type Order { id: ID! user: User! total: Float! }
  • Blog: type Post { id: ID! title: String! author: User! } type User { id: ID! name: String! posts: [Post!]! }
  • Auth: type Session { id: ID! user: User! } type User { id: ID! email: String! } input LoginInput { email: String! password: String! }

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.