Apache Avro to JSON Schema Converter

Convert Apache Avro (.avsc) schemas into standardized JSON Schema specifications directly in your browser.

At a glance

Apache Avro to JSON Schema Converter transforms Avro Schema (.avsc) files into compliant JSON Schema (Draft-07 and 2020-12) documents. It translates primitive types, logical formats like timestamp-millis and uuid, optional union types, nested records, and maps into structured JSON Schema properties in browser memory.

100% Client-Side In-Browser Apache Avro to JSON Schema Converter

Convert Apache Avro Schema (.avsc) files directly into JSON Schema (Draft-07 & 2020-12) specifications in your browser memory.

Pure In-Browser
Sample Presets:
Valid Avro 0 chars

Generation Options

Lines
0
Properties
0
Defs / Types
0
Draft Standard
2020-12
Type Mapping Highlights: int → integer (int32), long → integer (int64), timestamp-millis → date-time, uuid → uuid, and nullable unions → optional properties.

Why Use This Apache Avro to JSON Schema Converter?

100% Client-Side Privacy: Your Avro schemas and enterprise models never leave your browser.
Dual Draft Support: Generates compliant JSON Schema for both Draft-07 and Draft 2020-12 specifications.
Logical Types Support: Handles timestamp-millis, timestamp-micros, date, time, uuid, and decimal formats.
Clean Nullability Syntax: Supports both clean type array [type, null] and anyOf validation modes.

How to Use Apache Avro to JSON Schema Converter

1

Paste Apache Avro Schema

Enter or paste your .avsc JSON schema definition into the Avro editor.

2

Configure Schema Options

Select your desired JSON Schema draft (2020-12 or Draft-07) and preferred nullability style.

3

Copy or Export JSON Schema

Review the generated JSON Schema specification, copy it to clipboard, or export as a .json file.

Apache Avro to JSON Schema Conversion Output

Converts Avro record into a Draft 2020-12 JSON Schema specification with int64 formats, date-time format for timestamp-millis, nullable type array, and required properties array.

Avro Schema Definition (.avsc) Source
{
  "type": "record",
  "name": "UserEvent",
  "fields": [
    { "name": "id", "type": "long" },
    { "name": "username", "type": "string" },
    { "name": "createdAt", "type": { "type": "long", "logicalType": "timestamp-millis" } },
    { "name": "nickname", "type": ["null", "string"], "default": null }
  ]
}
Generated JSON Schema (2020-12) Processed
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "UserEvent",
  "type": "object",
  "properties": {
    "id": {
      "type": "integer",
      "format": "int64"
    },
    "username": {
      "type": "string"
    },
    "createdAt": {
      "type": "string",
      "format": "date-time"
    },
    "nickname": {
      "type": [
        "string",
        "null"
      ],
      "default": null
    }
  },
  "required": [
    "id",
    "username",
    "createdAt"
  ]
}

Technical Specifications & Engine Details

Technical specifications and engine details for Apache Avro to JSON Schema Converter
Specification Details
Supported Formats APPLICATION/JSON, APPLICATION/AVRO, TEXT/PLAIN, .AVSC → APPLICATION/JSON, APPLICATION/SCHEMA+JSON, TEXT/PLAIN, .JSON
Execution Mode 100% Client-Side In-Browser (client)
Browser Requirements Modern browser with JavaScript enabled.
Performance Constraints Runs client-side in browser memory. Performance and file limits are bounded by available local device RAM.
Maintained by Pragyan Pahadi

100% Client-Side Privacy Guarantee

Your files remain strictly on your local device. Zero data is transmitted to external servers.

Frequently Asked Questions

Are my Avro schemas uploaded to any server?
No. All parsing and schema compilation occur 100% client-side in your web browser. Your proprietary schema definitions and field identifiers never touch any external network or server.
Which Avro logical types are supported?
The converter automatically maps timestamp-millis and timestamp-micros to date-time, date to date, uuid to uuid, and decimal to number.
How are Avro unions converted to JSON Schema?
Optional nullable unions (e.g. ["null", "string"]) are converted into clean type arrays ["string", "null"] or anyOf branches according to your configured nullability setting.
Can I convert complex nested records and enums?
Yes. Child records and named enums are automatically extracted into $defs (or definitions in Draft-07) and linked with standard JSON Schema $ref pointers.

Methodology

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

Last updated .