XML to JSON Lines Converter

About XML to JSON Lines Converter

Convert XML data to JSON Lines (JSONL) format, also known as newline-delimited JSON. Perfect for streaming data, big data processing, and log files. Each line is a valid JSON object or array.

Key Features

• Line-Delimited: One JSON object/array per line for easy streaming
• Multiple Formats: Objects per line or headers + arrays format
• Type Detection: Automatically converts numbers, booleans, and null values
• Streamable: Process large datasets line-by-line without loading entire file
• Appendable: Easy to append new records to existing files
• Big Data Compatible: Works with Hadoop, Spark, Elasticsearch, MongoDB

How to Use

1. Input XML Data: Paste your XML data or upload an .xml file
2. Choose Format: Select objects per line or headers + arrays
3. Copy or Download: Copy to clipboard or download as .jsonl file
4. Process: Use with streaming tools or big data frameworks

Output Formats

• One JSON object per line: Each line is a complete JSON object - ideal for streaming and log processing
• Headers + arrays: First line contains headers, subsequent lines are data arrays - compact format for data transfer

Example Conversion

XML Input:

<?xml version="1.0"?>
<employees>
  <employee>
    <id>1</id>
    <name>John Doe</name>
    <age>28</age>
    <active>true</active>
  </employee>
  <employee>
    <id>2</id>
    <name>Jane Smith</name>
    <age>34</age>
    <active>false</active>
  </employee>
</employees>

Objects Per Line Output:

{"id":1,"name":"John Doe","age":28,"active":true}
{"id":2,"name":"Jane Smith","age":34,"active":false}

Headers + Arrays Output:

["id","name","age","active"]
[1,"John Doe",28,true]
[2,"Jane Smith",34,false]

JSON Lines Advantages

• Streamable: Process one line at a time without loading entire file into memory
• Appendable: Add new records by simply appending lines to the file
• Recoverable: Corrupted lines don't affect other records
• Simple: Easy to parse with any JSON parser
• Universal: Supported by most big data and streaming tools

Type Conversion

• Numbers: Numeric strings are converted to JSON numbers (e.g., "42" → 42)
• Booleans: "true" and "false" strings are converted to JSON booleans
• Null: Empty strings and "null" are converted to JSON null
• Strings: All other values remain as JSON strings

Supported XML Structures

• Repeating Elements: Automatically detects common record names (row, record, item, entry, employee, product, user)
• Nested Elements: Extracts child element values as fields
• Attributes: Includes XML attributes as fields (prefixed with @)
• Mixed Content: Handles various XML structures intelligently

Common Use Cases

• Big Data Processing: Import into Hadoop, Spark, or Hive
• Log Files: Convert XML logs to JSONL for easier processing
• Streaming: Process large XML datasets line-by-line
• Elasticsearch: Bulk import data into Elasticsearch
• MongoDB: Import data with mongoimport
• Data Pipelines: Use in ETL and data processing pipelines

Compatible Tools & Platforms

• Apache Hadoop: Process with MapReduce jobs
• Apache Spark: Read with spark.read.json()
• Elasticsearch: Bulk API accepts JSONL format
• MongoDB: mongoimport supports JSONL
• Command Line: Process with jq, grep, awk
• Python: Read line-by-line with json.loads()

File Format Specifications

JSON Lines format follows these rules:

• Each line is a valid JSON value (object or array)
• Lines are separated by newline characters (\n)
• UTF-8 encoding is recommended
• File extension is typically .jsonl or .ndjson

Privacy & Security

All conversions happen locally in your browser. Your XML data is never uploaded to any server, ensuring complete privacy and security.