Convert XML to Avro Schema Online
Data Source
Extract from Web Page
Enter a web page URL containing table data to automatically extract structured data
Paste your XML data or drag XML files here
Online Table Editor
Table Generator
How to Quickly Convert XML to Avro Schema Online Format?
1. Upload, paste, or extract XML from web pages with multiple input methods supported
Upload XML files or paste XML data. The tool automatically parses XML structure and converts it to table format, supporting namespace, attribute handling, and complex nested structures.
2. Modify XML using our professional online table editor
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.
3. Copy or download Avro Schema with multiple export options supported
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.
What is XML format and its application scenarios?
XML (eXtensible Markup Language) is the standard format for enterprise-level data exchange and configuration management, with strict syntax specifications and powerful validation mechanisms. Widely used in web services, configuration files, document storage, and system integration. Supports namespaces, schema validation, and XSLT transformation, making it important table data for enterprise applications.
What is Avro format and its application scenarios?
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.