CSV to YAML Converter [2025]

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Transform CSV data into clean, well-structured YAML with intelligent type detection. Perfect for configuration files and data processing.

✓ Type Detection✓ Smart Formatting✓ Instant Preview

Structure Options

Array Mode

Organize data as a list of objects:

data:
  - # Row 1
    name: John Doe
    age: 30
    city: New York
  - # Row 2
    name: Jane Smith
    age: 25
    city: London

Object Mode

Organize data as keyed objects:

data:
  row_1:
    name: John Doe
    age: 30
    city: New York
  row_2:
    name: Jane Smith
    age: 25
    city: London

Key Features

Data Processing

  • Automatic type detection for numbers and booleans
  • Smart handling of empty and null values
  • Optional value trimming and cleaning
  • Support for quoted and unquoted strings
  • Array detection in CSV fields
  • Proper handling of special characters

YAML Generation

  • Choice between array and object structures
  • Customizable root key name
  • Proper indentation and formatting
  • Smart value quoting when needed
  • Valid YAML output guaranteed
  • Support for nested structures

Common Use Cases

Configuration

  • • Application settings
  • • Environment configs
  • • Build parameters
  • • System properties

Development

  • • Test data
  • • API responses
  • • Data migrations
  • • Schema definitions

Data Processing

  • • Data transformation
  • • Format conversion
  • • Data validation
  • • System integration

Smart Features

Type Detection

CSV Input:

name,age,active
John,30,true
Jane,25,false

YAML Output:

data:
  - name: John
    age: 30
    active: true
  - name: Jane
    age: 25
    active: false

Array Detection

CSV Input:

name,tags
John,"[""dev"",""admin""]"
Jane,"[""user"",""test""]"

YAML Output:

data:
  - name: John
    tags:
      - dev
      - admin
  - name: Jane
    tags:
      - user
      - test

Frequently Asked Questions

How does type detection work?

When type detection is enabled, the converter automatically identifies numbers, booleans, and arrays in your CSV data. Numbers remain unquoted, booleans become true/false values, and array strings are converted to proper YAML arrays.

Which structure should I choose?

Array mode is ideal for collections of similar items where order matters. Object mode is better when you need to reference specific rows by key or when each row has a unique identifier. Both produce valid YAML but serve different use cases.

How are empty values handled?

Empty values in your CSV become null in the YAML output. You can also enable the trim option to remove unnecessary whitespace from values while preserving the actual data structure.

Is my data secure?

Yes, all processing happens entirely in your browser. No data is sent to any server, ensuring your CSV data remains private and secure throughout the conversion process.

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