Microdeck.tools 100% In-Browser

Structured LLM Output & Schema Generator

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Transform raw JSON into production-ready Zod schemas (TypeScript), Pydantic models (Python), and OpenAI/Gemini function calling JSON Schemas.

100% In-Browser No Server Storage Instant Results
Target Schema:
Generated zod Structured Output
import { z } from "zod";

export const ResponseSchema = z.object({
  userId: z.number().int(),
  username: z.string(),
  email: z.string(),
  isVerified: z.boolean(),
  roles: z.array(z.string()),
  profile: z.object({
    plan: z.string(),
    score: z.number(),
  }),
});

export type ResponseType = z.infer<typeof ResponseSchema>;

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How It Works Under the Hood

Parses JSON objects and recursively infers property types, optional fields, arrays, and primitive mappings to target language schema definitions.

Step-by-Step Instructions

1

Paste your sample JSON payload into the input editor.

2

Choose your target: Zod (TypeScript), Pydantic (Python), or JSON Schema.

3

Copy the validated schema directly into your LLM agent prompt or API.

Key Features & Performance

  • Supports Zod runtime validator with z.infer type export
  • Generates Python 3.10+ Pydantic BaseModel declarations
  • 100% client-side AST inference

Local Browser Processing & Privacy

Traditional web converters upload your documents, snippets, or media files to remote servers. Structured LLM Output & Schema Generator runs inside your browser tab:

Processed in This Tab

Your input text and files are processed locally without uploading payloads to a processing server.

No Tool Payload Logging

Microdeck does not log or store the files or inputs you paste into tool workspaces (normal static hosting/CDN requests still load page assets).

Tab Memory Lifecycle

Working outputs stay in your browser tab and are released when you reset the tool or close the tab.

Frequently Asked Questions

Why use structured outputs with LLMs?

Structured outputs guarantee that the LLM response matches your schema 100% of the time, preventing JSON parsing errors in automated pipelines.

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