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YAML to CSV Converter [2025]
Transform structured YAML data into CSV format with intelligent handling of nested objects and arrays. Perfect for data processing and spreadsheet preparation.
Key Features
- Smart flattening of nested YAML structures using dot notation.
- Flexible handling of arrays with stringify or expansion options.
- Real-time preview of converted CSV output.
- Configurable options for value processing and formatting.
- Support for complex YAML structures with unlimited nesting.
- Browser-based conversion with no data sent to servers.
- Support for YAML files up to 10MB in size.
- One-click copy and download functionality.
Data Structure Examples
Nested Objects
YAML Input:
- user: name: John Doe contact: email: john@example.com phone: "555-0123" active: true
CSV Output:
user.name,user.contact.email,user.contact.phone,user.active John Doe,john@example.com,555-0123,true
Array Handling
YAML Input:
- name: John Doe tags: - developer - team lead skills: - frontend - backend
CSV Output:
name,tags,skills John Doe,"[""developer"",""team lead""]","[""frontend"",""backend""]"
Common Use Cases
Configuration
- • App configurations
- • Environment settings
- • System properties
- • Build parameters
Data Processing
- • Log analysis
- • Data migration
- • Report generation
- • Data transformation
Integration
- • Spreadsheet import
- • Database loading
- • API data prep
- • System integration
Frequently Asked Questions
How are nested structures handled?
Nested YAML structures are flattened using dot notation. For example, user.contact.email represents a nested path. You can choose between flattening objects or keeping them as JSON strings in the CSV output.
What about YAML arrays?
Arrays can be handled in two ways: stringified into a single cell as a JSON array, or expanded into multiple columns with indexed headers. Choose the option that best fits your data structure and processing needs.
Is my data secure?
Yes, all conversion happens entirely in your browser. No data is sent to any servers, ensuring your sensitive information remains private and secure throughout the conversion process.
What YAML features are supported?
The converter supports all standard YAML features including nested objects, arrays, multi-line strings, and basic data types. Complex features like anchors and aliases are resolved during parsing for consistent CSV output.
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