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CSV to YAML Converter [2025]
Transform CSV data into clean, well-structured YAML with intelligent type detection. Perfect for configuration files and data processing.
Upload CSV
Drag and drop your CSV file here or click to browse
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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