YAML / CSV Converter

LOCAL · Browser-Only

Convert between YAML and CSV formats

YAML Input

Ctrl+Enter to convert

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What is YAML to CSV Converter?

Free online YAML to CSV converter to convert YAML data into CSV format for use in spreadsheets and databases.

Convert a YAML array of objects to a CSV table, open YAML config data in Excel or Google Sheets, and flatten nested YAML into columns. Handles YAML arrays of objects, extracting keys as column headers and values as rows. Supports nested values (flattened with dot notation), quoted fields, custom delimiters, and multiple data types. Preview the tabular output before exporting. The conversion runs entirely in your browser, so your YAML never leaves your device. No signup required.

How to Use YAML to CSV Converter

1Paste your YAML data into the input area
2The tool parses the YAML and extracts fields
3Preview the CSV data in a table view
4Copy or download the CSV output

Frequently Asked Questions

What YAML structure is expected?

The converter expects a YAML array of objects (a list of records). Each object's keys become CSV column headers, and values become row data. Simple key-value YAML maps are converted to a two-column CSV.

How are nested values handled?

Nested objects are flattened using dot notation. For example, address.city becomes a column header 'address.city'. Arrays within values are joined with semicolons.

Can I set a custom delimiter?

The default output is comma-separated. You can also choose tab or semicolon as the delimiter for compatibility with different spreadsheet programs.

How do I open YAML data in Excel or Google Sheets?

Convert the YAML to CSV here, copy or download the result, then open the CSV in Excel or import it into Google Sheets. Each YAML record becomes a row and each key becomes a column.

How do I convert a YAML array of objects to CSV?

Paste the YAML list directly. The tool reads each object in the array, uses the keys as the header row, and writes one CSV row per object, flattening nested fields with dot notation.

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Keep reading: Python Cheat Sheet and http headers reference. Doing this in code instead? See the encoding endpoints.