Upload JSON files or paste JSON arrays. Supports automatic recognition and parsing of object arrays, nested structures, and complex data types. The tool intelligently validates JSON syntax and provides error prompts.
Edit data using our professional online table editor. Supports deleting empty row data, removing duplicate rows, transposing data, sorting by rows, regex find & replace, and real-time preview. All changes will automatically convert to Avro Schema format with simple and efficient operation and precise reliable results.
Generate standard Avro schema definitions with support for data type mapping, field constraints, and schema validation. Generated schemas can be directly used in Hadoop ecosystems, Kafka message systems, and other big data platforms.
Note: Our online conversion tool uses advanced data processing technology, runs completely in the browser, ensures data security and privacy, and does not store any user data.
JSON (JavaScript Object Notation) is the standard table data format for modern web applications, REST APIs, and microservice architectures. Its clear structure and efficient parsing make it widely used in front-end and back-end data interaction, configuration file storage, and NoSQL databases. Supports nested objects, array structures, and multiple data types, making it indispensable table data for modern software development.
Apache Avro is a data serialization system that provides rich data structures, compact binary format, and schema evolution capabilities. Widely used in big data processing, message queues, and distributed systems. Its schema definition supports complex data types and version compatibility, making it an important tool for data engineers and system architects.