🧮 SuperTools

CSV to YAML Converter

Convert CSV (Comma-Separated Values) data to YAML (YAML Ain't Markup Language) format with customizable options. Upload a CSV file or paste your data directly.

CSV Input

Or upload a CSV file

CSV Parse Options

YAML Output

YAML output will appear here after conversion...

YAML Output Options


About CSV to YAML Conversion

This tool converts comma-separated values (CSV) data into YAML format.

YAML is a human-readable data serialization format that is commonly used for configuration files, but it can be used in many applications where data is being stored or transmitted.


About CSV Format

CSV (Comma-Separated Values) is a simple file format used to store tabular data, such as a spreadsheet or database. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

CSV is a common data exchange format that is widely supported by consumer, business, and scientific applications. Among its most common uses is moving tabular data between programs that natively operate on incompatible formats.

About YAML Format

YAML (YAML Ain't Markup Language) is a human-friendly data serialization standard that's commonly used for configuration files and in applications where data is being stored or transmitted.

YAML is designed to be easily readable by humans while also being machine-parsable. It uses indentation rather than brackets or braces to indicate nesting, making it visually cleaner than formats like XML or JSON.

Conversion Tips

  • Check your delimiter: While comma is the most common CSV delimiter, some files use semicolons, tabs, or pipes instead.
  • Headers matter: If your CSV has a header row (column names in the first row), make sure to check the "First row is header" option for proper YAML key mapping.
  • Handling quotes: The converter automatically handles quoted values in your CSV, which is useful when your data contains commas or delimiter characters.
  • Trim whitespace: Enable "Trim values" to remove leading and trailing whitespace from each field, which often improves YAML readability.
  • Double-check the output: Always verify the YAML output to ensure the structure matches your expectations, especially for complex data.

Common Use Cases

Converting CSV to YAML is particularly useful in these scenarios:

  • Configuration Management: Transforming tabular data into configuration files for systems like Kubernetes, Docker Compose, or CI/CD pipelines.
  • Data Migration: Moving data from spreadsheets or databases into systems that prefer YAML format.
  • Static Site Generation: Converting content from CSV spreadsheets into YAML front matter for static site generators like Jekyll or Hugo.
  • API Testing: Creating test data in YAML format from existing CSV data sources.