AI Engineering

Structured Output Schema Builder

Build strict nested JSON Schema from visual field definitions, validate sample model responses locally, and export current OpenAI, Anthropic, Google, or generic configurations.

Processed locally in your browser

Schema nameDescription

Dot paths create nested objects. Append [] to create an array, for example items[].name or tags[].

Output fields

Up to 50 fields and five nesting levels.

Path	Type	Required	Description	String enum	Actions
Field 1 path
Field 2 path
Field 3 path
Field 4 path

Sample response validation

Validation runs locally and checks types, required fields, enums, arrays, nested objects, and unexpected properties.

Sample JSON

Sample matches the generated schema.

Generated configuration

Export target

{
  "type": "object",
  "description": "Structured candidate screening result",
  "properties": {
    "candidate": {
      "type": "object",
      "properties": {
        "name": {
          "type": "string",
          "description": "Candidate's full name"
        },
        "skills": {
          "type": "array",
          "items": {
            "type": "string",
            "description": "Relevant technical skills"
          }
        },
        "years_experience": {
          "type": "integer",
          "description": "Completed years of relevant experience"
        }
      },
      "required": [
        "name",
        "skills",
        "years_experience"
      ],
      "additionalProperties": false
    },
    "recommendation": {
      "type": "string",
      "description": "Screening recommendation",
      "enum": [
        "advance",
        "review",
        "decline"
      ]
    }
  },
  "required": [
    "candidate",
    "recommendation"
  ],
  "additionalProperties": false,
  "title": "candidate_result"
}

Provider wrappers follow official documentation checked on 2026-08-28. Provider-supported JSON Schema subsets can change; test the exported configuration against the selected model.

Schema nameDescription

Dot paths create nested objects. Append [] to create an array, for example items[].name or tags[].

Output fields

Up to 50 fields and five nesting levels.

Path	Type	Required	Description	String enum	Actions
Field 1 path
Field 2 path
Field 3 path
Field 4 path

Sample response validation

Validation runs locally and checks types, required fields, enums, arrays, nested objects, and unexpected properties.

Sample JSON

Sample matches the generated schema.

How to use this tool

Describe each leaf field with a dot path; [] creates array segments.Validate representative and intentionally invalid sample responses before integration.Export raw JSON Schema or a provider request wrapper, then confirm model-specific schema support.

Frequently asked questions

Does this call an AI provider?

No. Schema generation, sample parsing, validation, copying, and downloads stay in the browser.

Does a valid sample guarantee provider support?

No. It proves the sample matches this generated schema. Each provider and model may support a smaller JSON Schema subset.

Why are additional properties disabled?

Strict output workflows are safer when unexpected keys are rejected. The builder applies additionalProperties: false to every generated object.

Path

Type

Required

Description

String enum

{ "type": "object", "description": "Structured candidate screening result", "properties": { "candidate": { "type": "object", "properties": { "name": { "type": "string", "description": "Candidate's full name" }, "skills": { "type": "array", "items": { "type": "string", "description": "Relevant technical skills" } }, "years_experience": { "type": "integer", "description": "Completed years of relevant experience" } }, "required": [ "name", "skills", "years_experience" ], "additionalProperties": false }, "recommendation": { "type": "string", "description": "Screening recommendation", "enum": [ "advance", "review", "decline" ] } }, "required": [ "candidate", "recommendation" ], "additionalProperties": false, "title": "candidate_result" }