JSON ↔ CSV Converter

The JSON ↔ CSV Converter transforms data between JSON and CSV formats with advanced customization options. Perfect for data migration, API integration, and spreadsheet compatibility with support for nested objects and arrays.

Key Features:

• Bidirectional Conversion: Convert JSON to CSV and CSV to JSON
• Flexible Delimiters: Comma, semicolon, tab, pipe, or custom
• Nested Object Support: Flatten or stringify complex structures
• Array Handling: Multiple options for array data processing
• Header Management: Include or exclude column headers
• File Upload/Download: Direct file processing capabilities
• Real-time Conversion: Instant results as you type

Conversion Options:

Delimiters:

• Comma (,): Standard CSV format
• Semicolon (;): European CSV standard
• Tab (\t): TSV (Tab-Separated Values)
• Pipe (|): Alternative delimiter for special cases
• Custom: Define your own delimiter character

Array Handling:

• JSON String: Convert arrays to JSON strings
• Semicolon Separated: Join array elements with semicolons
• Flatten to Columns: Create separate columns for each array element

Null Value Handling:

• Empty String: Replace null values with empty strings
• Literal "null": Keep null values as the string "null"
• Skip Field: Omit null fields from output

Use Cases:

• Data Migration: Transfer data between different systems
• API Integration: Convert API responses for spreadsheet analysis
• Database Import/Export: Prepare data for database operations
• Spreadsheet Compatibility: Make JSON data Excel/Google Sheets ready
• Data Analysis: Convert structured data for statistical analysis
• Report Generation: Transform data for business reports
• ETL Processes: Extract, Transform, Load operations

JSON to CSV Conversion:

• Handles arrays of objects (most common JSON structure)
• Flattens nested objects when enabled
• Converts arrays to strings or separate columns
• Automatically escapes special characters
• Generates column headers from object keys

CSV to JSON Conversion:

• Parses CSV with proper quote handling
• Auto-detects data types (numbers, booleans, strings)
• Handles embedded commas and quotes
• Creates array of objects structure
• Supports custom column naming

Best Practices:

• Use consistent data types within columns
• Flatten nested objects for better CSV compatibility
• Choose appropriate delimiters based on data content
• Include headers for better data understanding
• Test with sample data before processing large files
• Consider array handling method based on use case

Supported File Formats:

• JSON: .json files with UTF-8 encoding
• CSV: .csv files with various delimiters
• TSV: Tab-separated values
• Custom: Any delimiter-separated values

Tips:

• For Excel compatibility, use semicolon delimiter in some locales
• Flatten nested objects when working with spreadsheet applications
• Use JSON string format for arrays when preserving exact data structure
• Test conversion with small samples before processing large datasets
• Consider data types when converting CSV back to JSON