CSV To YAML
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CSV To YAML
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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.
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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
Upload CSV File or paste your raw CSV content.
Click Convert to YAML.
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
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Copyright © 2025 Qodex
Discover, Test, and Secure your APIs — 10x Faster.

Product
All Rights Reserved.
Copyright © 2025 Qodex