XML to Qlik Converter

Transform XML data into Qlik Sense load script format for business intelligence

XML Input

Qlik Output

About XML to Qlik Converter

Convert XML data to Qlik Sense load script format. Perfect for importing XML data into Qlik Sense dashboards and business intelligence applications.

Key Features

  • LOAD Script Generation: Creates Qlik Sense LOAD statements with INLINE data
  • Field Escaping: Properly escapes field identifiers with square brackets
  • Quote Handling: Handles values with commas, quotes, and newlines
  • Unique Headers: Automatically handles duplicate column names
  • XML Parser: Accurately parses XML with table-like structures
  • File Upload: Upload .xml files directly
  • Copy & Download: Save as .qvs file for Qlik Sense

How to Use

  1. Input XML Data: Paste your XML data or upload an .xml file
  2. Review Output: The Qlik load script generates automatically
  3. Copy or Download: Use the Copy or Download button to save your .qvs file
  4. Import to Qlik: Paste the script into Qlik Sense Data Load Editor

Supported XML Structures

The converter recognizes several common XML table patterns:

  • <table><row>...</row></table>: Standard table structure
  • <data><record>...</record></data>: Data records pattern
  • <records><record>...</record></records>: Records collection
  • Repeated Elements: Any root with repeated child elements
  • Attributes: Also supports attribute-based data

Qlik Load Script Format

The converter generates a standard Qlik Sense LOAD statement with INLINE data:

  • Table Name: XMLData (can be customized in Qlik)
  • LOAD Statement: Lists all fields with proper escaping
  • INLINE Block: Contains CSV-formatted data with header row
  • Delimiter: Uses comma delimiter with proper quoting

Example Conversion

XML Input:

<?xml version="1.0" encoding="UTF-8"?>
<data>
  <record>
    <Name>John Doe</Name>
    <Age>28</Age>
    <City>New York</City>
    <Department>Engineering</Department>
  </record>
  <record>
    <Name>Jane Smith</Name>
    <Age>34</Age>
    <City>London</City>
    <Department>Marketing</Department>
  </record>
</data>

Qlik Output:

XMLData:
LOAD
    [Name],
    [Age],
    [City],
    [Department]
INLINE [
Name,Age,City,Department
John Doe,28,New York,Engineering
Jane Smith,34,London,Marketing
] (delimiter is ',');

Common Use Cases

  • Business Intelligence: Import XML data into Qlik Sense dashboards
  • Data Analysis: Analyze XML data with Qlik's powerful analytics
  • Reporting: Create reports from XML documentation
  • Data Integration: Combine XML data with other data sources
  • Visualization: Build interactive visualizations from XML data
  • ETL Processes: Extract XML data for transformation and loading

Qlik Sense Compatibility

The generated load script is compatible with:

  • Qlik Sense Enterprise (all versions)
  • Qlik Sense Cloud Business
  • Qlik Sense Desktop
  • QlikView (with minor syntax adjustments)

Field Name Handling

  • Square Brackets: All field names are wrapped in [brackets] for safety
  • Escape Characters: Right brackets (]) are escaped as ]]
  • Duplicate Names: Automatically appends _2, _3, etc. to duplicates
  • Empty Headers: Generates Field1, Field2, etc. for missing headers

Data Value Escaping

  • Quotes: Double quotes are escaped as ""
  • Commas: Values with commas are wrapped in quotes
  • Newlines: Values with newlines are wrapped in quotes
  • Empty Values: Preserved as empty strings

Using in Qlik Sense

  1. Open Qlik Sense and create or open an app
  2. Go to Data Load Editor
  3. Paste the generated load script
  4. Click "Load data" to import the table
  5. Use the data in your visualizations and analytics

Tips for Best Results

  • Ensure XML has consistent structure across records
  • Avoid special characters in tag names when possible
  • Test with sample data before processing large XML files
  • Review field names in Qlik and rename if needed
  • Consider data types when building Qlik expressions

Privacy & Security

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