XML Input

Python Output

What is XML to Python Converter?

Working with Django, Flask, or Python and need to convert XML to classes? This tool generates clean Python classes or dataclasses from XML data. Perfect for data processing, API integration, and working with XML-based services.

Instead of manually writing Python classes for XML parsing, paste your XML (eXtensible Markup Language) and get ready-to-use code. The converter handles nested structures, attributes, and generates Python classes with optional type hints and dataclass support.

Everything runs in your browser. Your XML never leaves your machine – generate, download, and start using the classes right away. Works perfectly with Django models, Flask applications, and data processing pipelines.

How to Use XML to Python

Follow these steps to convert XML to Python classes. Each step uses the actual buttons and panels on this page.

Paste, Upload, or Load Sample

Paste XML into the left XML Input panel, or click Upload to load a file. Click Sample to load example data. Example:

<subscribers><subscriber><subscriberId>SUB-1001</subscriberId><plan>Unlimited 5G</plan><dataUsage>45.2</dataUsage></subscriber></subscribers>

Use Clear to start fresh. You can also validate your XML first if needed.

Configure Options

Set Class Name in the config panel. Toggle Use Dataclasses for modern Python 3.7+ style, or Use Type Hints for type-safe code. The right Python Output panel shows the generated classes instantly.

Download or Copy

Click Download to save the Python file, or Copy to copy to your clipboard. All processing runs in your browser – your XML never leaves your computer.

When You'd Actually Use This

Django Development

Generate Python classes from XML configs for Django projects. Create model classes for XML-based data or API responses. Perfect for Django data transformation and serialization.

Flask Applications

Convert XML API responses to Python classes. Handle XML-based web services or legacy system integrations with generated Python classes in Flask apps.

Data Processing

Generate Python classes from XML data structures. Perfect for ETL pipelines, data validation, or working with XML feeds in your data processing workflows.

Machine Learning

Generate Python dataclasses from XML training data. Convert structured XML datasets to Python objects for analysis with pandas, scikit-learn, or TensorFlow.

Common Questions

Is my XML data stored?

No. Everything runs in your browser. Your XML never leaves your computer.

What Python version does it generate?

The code works with Python 3.7+. If you enable dataclasses, you'll need Python 3.7 or later. Without dataclasses, it works with older Python versions too. Check the Python documentation for version-specific features.

Does it use dataclasses or regular classes?

You can choose. Dataclasses are cleaner and require less boilerplate, but regular classes work if you need more control or compatibility with older Python versions.

Can I customize the generated code?

You can set class names and choose between dataclasses and regular classes. The generated code is clean and easy to modify – add methods or properties as needed.

Does it work with Django models?

The generated classes are plain Python classes. You can extend them to Django models if needed, or use them as data transfer objects.

What about XML attributes?

XML attributes become properties in the generated classes. Nested elements become nested classes or lists, depending on the structure.

Other XML Tools You Might Need

Conversion is just one XML task. Here are other tools that work well together: