JSON to CSV Converter
Convert JSON data to CSV format for spreadsheet applications. Supports nested objects, arrays, custom delimiters, and advanced formatting options.
JSON Input
CSV Output
Conversion Guidelines
JSON Structure
- • Arrays of objects work best for CSV conversion
- • Single objects become single-row CSV files
- • Nested objects are flattened with dot notation
- • Arrays within objects are joined with separators
Formatting Options
- • Choose appropriate delimiters for your region
- • Enable header row for spreadsheet compatibility
- • Escape quotes for fields containing special characters
- • Customize array separators for multi-value fields
Advanced JSON to CSV Features
Powerful conversion tools for transforming JSON data into spreadsheet-ready format
Nested Object Support
Handle complex nested JSON structures with automatic flattening and customizable field naming
Array Handling
Smart processing of JSON arrays with options for expansion, concatenation, or serialization
Custom Delimiters
Choose from comma, semicolon, tab, or custom delimiters to match your requirements
Header Options
Customize CSV headers with friendly names, dot notation, or original JSON keys
Data Type Detection
Automatic detection and proper formatting of strings, numbers, dates, and booleans
Multiple Export Options
Download as CSV, TSV, or other delimited formats with proper encoding
Data Validation
Validate JSON structure and preview conversion results before export
Batch Processing
Convert multiple JSON files or large datasets with progress tracking
Conversion Examples
See how different JSON structures are converted to CSV format
📄 Simple JSON Array
[
{
"name": "John Doe",
"age": 30,
"city": "New York"
},
{
"name": "Jane Smith",
"age": 25,
"city": "Los Angeles"
}
]📊 Converted CSV
name,age,city John Doe,30,New York Jane Smith,25,Los Angeles
🏗️ Nested JSON Structure
[
{
"name": "John",
"address": {
"street": "123 Main St",
"city": "NYC"
},
"skills": ["JavaScript", "Python"]
}
]📋 Flattened CSV
name,address.street,address.city,skills John,123 Main St,NYC,"JavaScript,Python"
Common Use Cases
Perfect scenarios for JSON to CSV conversion
📊 Data Analysis
- • Export API data to Excel/Google Sheets
- • Analyze user behavior data
- • Create reports from JSON logs
- • Generate charts and visualizations
🔄 Data Migration
- • Import JSON data into databases
- • Transfer between different systems
- • Convert NoSQL exports to relational format
- • Prepare data for ETL processes
📋 Reporting
- • Generate business reports
- • Create data summaries for stakeholders
- • Export survey results
- • Share data with non-technical teams
Frequently Asked Questions
How are nested JSON objects handled in CSV conversion?
Nested objects are flattened using dot notation (e.g., 'address.street'). You can customize the separator and choose how deep to flatten the structure.
What happens to JSON arrays during conversion?
Arrays can be handled in multiple ways: joined as comma-separated strings, expanded into separate columns, or serialized as JSON strings. You can choose the method that best fits your needs.
Can I customize the CSV headers?
Yes, you can use original JSON keys, friendly names, or dot notation for nested fields. The tool also supports custom header mappings for complex transformations.
Is there a limit to the JSON file size I can convert?
The tool supports files up to 100MB. For very large files, we provide progress tracking and process the data in chunks to ensure smooth conversion.
What delimiters are supported besides commas?
You can use semicolons, tabs, pipes, or any custom character as a delimiter. This helps with international formats and specific application requirements.
How are special characters and quotes handled?
The converter properly escapes special characters and wraps fields containing delimiters in quotes according to CSV standards, ensuring data integrity.
Can I convert a single JSON object (not an array)?
Yes, single JSON objects are converted to a single row CSV. Nested objects are flattened into columns, and arrays become comma-separated values or separate columns.
Stay Updated with Data Tools
Get notified about new data conversion features, CSV utilities, and data processing tips.