What is JSON to Avro Schema Generator?
Apache Avro is a compact binary serialization format used in Kafka, Hadoop, and Spark pipelines. This tool generates Avro schema definitions from your JSON data, handling type mapping and nullable field detection automatically.
How to Use
- Set the record name and namespace in the options above
- Paste your JSON data into the input area
- Click "Generate Avro Schema" to create the schema
- Copy the output and save it as a .avsc file for use with Kafka or Hadoop
Why Use This Tool?
Tips & Best Practices
- Use realistic sample data — type inference depends on actual values
- Integer values that exceed int32 range are automatically typed as long
- Null values in your JSON will generate nullable union types in the Avro schema
- The generated schema can be used directly with Confluent Schema Registry
Frequently Asked Questions
What is Apache Avro?
Apache Avro is a binary serialization format widely used in Kafka, Hadoop, and Spark. It is 3-10x smaller than JSON because field names are stored in the schema, not repeated in every record.
How are JSON types mapped to Avro?
JSON strings → string, integers → int or long, floats → double, booleans → boolean, null → ["null", "type"] union, arrays → {type: "array", items: ...}, objects → nested record definitions.
Can I use this for Kafka messages?
Yes! The generated Avro schema is fully compatible with Apache Kafka, Kafka Connect, and the Confluent Schema Registry.
Is my data sent to a server?
No, all processing happens entirely in your browser. Your JSON data never leaves your device.