CSV To YAML

Search...

⌘K

CSV To YAML

Search...

⌘K


CSV To YAML

CSV To YAML

Qodex’s CSV to YAML Converter makes it easy to transform structured comma-separated data into a clean YAML format. Whether you’re working with configuration files, APIs, or databases, this tool helps you bridge the gap between spreadsheet-style inputs and hierarchical data.


Want to do more? After converting CSV to YAML, you can use our YAML to JSON Converter or YAML to XML Tool to continue processing your data in different formats. For cleaning or restructuring CSV, try CSV to JSON or CSV to XML converters.

Test your APIs today!

Write in plain English — Qodex turns it into secure, ready-to-run tests.

Regular Expression - Documentation

What is CSV to YAML Conversion?


CSV (Comma-Separated Values) is a flat text format used for tabular data, while YAML (YAML Ain’t Markup Language) is a human-readable data serialization format. YAML is better suited for representing nested, structured data such as configuration files or deployment settings.


This tool allows you to:

  • Convert CSV input into structured YAML output

  • Copy or download the result instantly

  • Use it in your codebases, API configs, or deployment workflows


How It Works


  1. Upload CSV File or paste your raw CSV content.

  2. Click Convert to YAML.

  3. Preview your output or click Download YAML.


Examples


Example 1: Simple Person Data


CSV Input:

name,age,city
Alice,30,Paris
Bob,25,Berlin


YAML output:

- name: Alice
  age: 30
  city: Paris
- name: Bob
  age: 25
  city: Berlin


Example 2: Product Inventory


CSV Input:

id,product,price,available
101,Laptop,899.99,true
102,Mouse,19.99,false
103,Keyboard,49.99,true


YAML output:

- id: 101
  product: Laptop
  price: 899.99
  available: true
- id: 102
  product: Mouse
  price: 19.99
  available: false
- id: 103
  product: Keyboard
  price: 49.99
  available: true


Example 3: Task List with Status


CSV Input:

task,status,due_date
Deploy app,completed,2024-12-01
Fix bugs,in progress,2024-12-10
Write docs,pending,2024-12-15


YAML output:

- task: Deploy app
  status: completed
  due_date: 2024-12-01
- task: Fix bugs
  status: in progress
  due_date: 2024-12-10
- task: Write docs
  status: pending
  due_date: 2024-12-15


Example 4: Boolean and Numeric Fields


CSV Input:

feature,is_enabled,max_limit
Search,true,100
Export,false,0
Import,true,50


YAML output:

- feature: Search
  is_enabled: true
  max_limit: 100
- feature: Export
  is_enabled: false
  max_limit: 0
- feature: Import
  is_enabled: true
  max_limit: 50


Example 5: Edge Case with Special Characters


CSV Input:

username,email,note
alice,alice@example.com,"Loves YAML & JSON"
bob,bob@example.com,"Uses commas, quotes, and newlines"


YAML output:

- username: alice
  email: alice@example.com
  note: "Loves YAML & JSON"
- username: bob
  email: bob@example.com
  note: "Uses commas, quotes, and newlines"


Use Cases


  • Converting Excel exports into clean YAML for APIs or CI/CD

  • YAML-based configuration for tools like Docker Compose or GitHub Actions

  • Generating infrastructure files for Ansible, Kubernetes, or Terraform


Pro Tips


  • Make sure your CSV has a header row – these become keys in YAML.

  • Avoid inconsistent row lengths in CSV to prevent broken YAML.

  • Use CSV to JSON before converting to YAML if you need to manipulate nested structures.


Frequently asked questions

What happens if I have special characters in my CSV?×
A1: The converter escapes special characters like commas or quotes automatically for YAML compatibility.
Does it support nested YAML structures?+
Can I convert multiple tables in one go?+
How do I ensure boolean values are correct in YAML?+
Can I use the output in Kubernetes or Ansible?+