YAML To XML / JSON / CSV Converter lets you convert YAML to XML, JSON and CSV online. Select a YAML file or Load YAML from url or Enter YAML data and convert it to XML, JSON and CSV. You can validate YAML and download converted XML, JSON and CSV data to your device.
A YAML to XML / JSON / CSV Converter is a tool that transforms YAML (YAML Ain’t Markup Language) data into other common data formats—XML, JSON, or CSV. YAML is a human-readable, structured format used for configurations and data storage. The converter parses YAML's nested key-value structure and outputs equivalent representations in the desired format:
YAML to XML: Converts to a tag-based, hierarchical structure.
YAML to JSON: Converts to a curly-braced, key-value object structure.
YAML to CSV: Flattens the structure into a table of rows and columns.
Interoperability: Not all systems or tools accept YAML; converting allows broader compatibility.
Integration with APIs and Applications: JSON and XML are standard for APIs; CSV is ideal for spreadsheets and databases.
Automation: Easily bridge configuration data from YAML into tools that require other formats.
Data Transformation: Useful when working across multiple formats in data pipelines, ETL tasks, or software deployments.
Prepare Your YAML Data: Create or copy structured YAML content.
Choose Your Target Format: Decide whether you need XML, JSON, or CSV output.
Use a Converter Tool: Paste the YAML into an online converter or use a script in a language like Python (e.g., using PyYAML with json, xml.etree.ElementTree, or csv).
Generate Output: The tool converts and formats the data based on the selected format.
Download or Integrate: Copy the output into your application, script, API, or file system.
For Software or API Integration: When an application only accepts JSON or XML input.
In DevOps and Config Automation: Convert YAML configs into formats accepted by legacy systems or reporting tools.
Data Sharing and Reporting: Use CSV when data from YAML files needs to be shared with non-technical users or imported into Excel.
Cross-Platform Development: When working with tools or platforms that require different data serialization formats for compatibility.