Zod to Apache Avro Schema Converter

Convert TypeScript Zod validation schemas into Apache Avro (.avsc) record schemas in your browser.

At a glance

Zod to Avro Converter transforms runtime Zod schemas into Apache Avro record schemas. It maps z.object to Avro records, translates string, int, double, and boolean primitives, converts optional and nullable modifiers into null unions with defaults, handles arrays and enums, and exports valid .avsc JSON files client-side.

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100% Client-Side In-Browser Zod to Apache Avro Generator

Compile runtime Zod validation schemas into Apache Avro (.avsc) record definitions, optional null unions, enums, and timestamps locally in browser memory. Zero network traffic or cloud uploads.

Pure In-Browser
Presets:
0 lines • 0 chars
Apache Avro Schema Options
Valid Apache Avro 1.11+ Schema JSON
0 lines • 0 chars

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Why Use This Zod to Apache Avro Schema Converter?

100% Client-Side Conversion: All AST parsing and Avro schema generation executes in browser memory with zero network latency.
Optional and Nullable Unions: Automatically wraps optional or nullable fields in valid Avro ["null", type] unions with default null.
Integer and Double Distinction: Maps z.number().int() to int (or long) and standard z.number() to double.
Container Support: Compiles z.array(T) into Avro array items and z.enum([...]) into Avro enum symbols.
Doc & Namespace Integration: Preserves schema descriptions from .describe() as Avro doc properties and supports custom namespaces.

How to Use Zod to Apache Avro Schema Converter

1

Paste Zod Source Code

Enter or paste your TypeScript Zod schema object definitions into the input editor.

2

Configure Avro Options

Specify an optional namespace (e.g. com.example.events), root record name, and integer mapping preference.

3

Copy or Download .avsc

Copy the generated Apache Avro JSON schema directly or download it as an .avsc file ready for Kafka and event streams.

Zod Account Schema to Apache Avro Record

Demonstrates converting a Zod schema into an Apache Avro record schema with scalar primitives and array containers.

Zod Schema Input Source 
const userSchema = z.object({
  id: z.string().uuid(),
  score: z.number(),
  isActive: z.boolean(),
  tags: z.array(z.string()),
});
Apache Avro Output Processed 
{
  "type": "record",
  "name": "User",
  "fields": [
    { "name": "id", "type": "string" },
    { "name": "score", "type": "double" },
    { "name": "isActive", "type": "boolean" },
    { "name": "tags", "type": { "type": "array", "items": "string" } }
  ]
}

Technical Specifications & Engine Details

Technical specifications and engine details for Zod to Apache Avro Schema Converter
Specification Details
Supported Formats TEXT → TEXT
Execution Mode 100% Client-Side In-Browser (client)
Browser Requirements Modern browser with JavaScript enabled.
Performance Constraints Zero external dependencies. Runs 100% client-side in browser memory.
Maintained by Pragyan Pahadi

100% Client-Side Privacy Guarantee

Your files and data remain strictly on your local device. Computations run locally using browser memory with zero network uploads.

Frequently Asked Questions

How are optional and nullable Zod fields represented in Avro?
In Apache Avro, optional and nullable fields are represented as type unions with null, such as ["null", "string"], paired with a default value of null.
Does this tool support nested Zod objects?
Yes. Nested z.object definitions are recursively converted into nested Avro record schemas with their own record names and fields.
How does integer vs floating point mapping work?
Fields using z.number().int() map to Avro int (or long if selected in options), while standard z.number() fields map to double.
Is my schema data private?
Yes. 100% of the Zod parsing and Avro formatting occurs locally within your browser sandbox. No source code or schemas are transmitted to external servers.

Methodology

This tool runs entirely in your browser. The example above shows a representative input and the result it produces.

Last updated .

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