JSON to CSV Converter
Convert JSON to CSV format with options
JSON to CSV Converter
Enter a JSON array of objects
How to Use
- Paste your JSON array of objects
- Choose whether to include headers
- Select your preferred delimiter
- Click Convert to generate CSV
- Copy to clipboard or download as file
Privacy: All conversions happen in your browser. Your data never leaves your device.
Your Privacy is Protected
All processing happens entirely in your browser. No data is stored, transmitted, or tracked. Your information remains completely private and secure on your device.
About JSON to CSV Converter
A JSON to CSV converter is a vital data transformation tool for developers, data analysts, and business users who need to convert structured JSON data into CSV (Comma-Separated Values) format for use in spreadsheet applications, data analysis tools, or databases. While JSON is the standard format for web APIs and modern applications, CSV is universally compatible with Excel, Google Sheets, database imports, and data analysis software. Our converter transforms complex JSON structures (arrays of objects, nested objects, or mixed data types) into flat, tabular CSV format that spreadsheets understand. The tool intelligently flattens nested objects, handles arrays within objects, preserves data types when possible, and creates appropriate column headers from JSON keys. You can customize delimiter characters (comma, semicolon, tab), quote handling, and how nested structures are flattened. This conversion is essential for exporting API responses to Excel, importing JSON data into databases that accept CSV, creating reports from application data, sharing data with non-technical users who prefer spreadsheets, and performing data analysis in tools that don't natively support JSON. Whether you're extracting data from a web application, processing API responses, converting configuration files, or preparing data for business intelligence tools, JSON to CSV conversion bridges the gap between modern web technologies and traditional data processing workflows.
Key Features
Automatic Column Detection
Automatically identifies all unique keys across JSON objects and creates CSV columns. Even if objects have different properties, the converter creates a column for each unique key found, filling missing values with empty cells or configurable placeholders.
Nested Object Flattening
Intelligently flattens nested JSON objects into dot-notation column names. For example, { user: { name: 'John', email: 'john@example.com' } } becomes columns 'user.name' and 'user.email', preserving the hierarchical structure in a flat CSV format.
Array Handling Options
Configure how to handle arrays within JSON objects. Options include: join array elements with a separator (comma, pipe, etc.), create separate rows for each array element, or convert to JSON string. Different approaches suit different data structures and use cases.
Custom Delimiter Support
Choose your delimiter character—comma (standard CSV), semicolon (European Excel), tab (TSV), pipe, or any custom character. This ensures compatibility with different regional spreadsheet formats and import tools that expect specific delimiters.
Quote and Escape Handling
Properly quotes fields containing the delimiter character, line breaks, or special characters. Handles escaping of quotes within quoted fields according to CSV standards, ensuring data integrity even with complex content like descriptions with commas or multi-line text.
Data Type Preservation
Maintains data types where possible or converts according to your preferences. Numbers remain as numbers (not quoted), dates can be formatted in various ways, booleans become true/false or 1/0, and null values are handled according to your configuration.
Large Dataset Support
Process JSON files with thousands of objects efficiently. The converter handles large API responses or database exports without performance issues, converting extensive datasets into CSV for further analysis or import into other systems.
Preview and Download
Preview the CSV output before downloading to verify the conversion is correct. Download as a .csv file ready for Excel or other tools, or copy the text to clipboard for pasting directly into applications.
How to Use the JSON to CSV Converter
Paste your JSON data into the input editor or upload a .json file
The converter accepts JSON arrays of objects (most common), single objects, or nested structures. Validate that your JSON is properly formatted.
Configure CSV output settings
Choose delimiter type (comma, semicolon, tab), decide whether to include a header row with column names, and set quote behavior for fields containing special characters.
Configure how to handle nested objects and arrays
Select 'flatten nested objects' to convert hierarchical data to dot notation, and choose how arrays should be represented (joined, separate rows, or JSON strings).
Optionally specify which fields to include or exclude
If your JSON has many fields but you only need some for CSV, select specific keys to include. This creates a cleaner, more focused CSV output.
Click 'Convert to CSV' to transform your JSON
The tool processes the data, flattens structures, and generates CSV with proper quoting and escaping according to CSV standards.
Preview the generated CSV in the output panel with syntax highlighting
Check that columns are correct, nested data is flattened appropriately, and special characters are properly handled.
Review the first few rows to ensure data is formatted as expected
Verify that number formatting, date formatting, and boolean handling match your requirements.
Download the CSV file or copy the text to your clipboard
The CSV is now ready to open in Excel, Google Sheets, or import into databases and analysis tools.
Frequently Asked Questions
What's the difference between JSON and CSV?
JSON is a hierarchical format that can represent nested objects and arrays with complex structures. CSV is a flat, tabular format representing data as rows and columns, like a spreadsheet. JSON is better for complex data and web APIs, while CSV is simpler and better for spreadsheets and databases. Converting JSON to CSV flattens hierarchical data into table format.
How does the converter handle nested JSON objects?
Nested objects are flattened using dot notation. For example, { person: { name: 'John', age: 30 } } becomes two columns: 'person.name' and 'person.age'. This preserves the relationship between fields while fitting into CSV's flat structure. You can customize the separator (dot, underscore, etc.) and nesting depth.
What happens to arrays in JSON objects?
You have options: 1) Join array elements into a single cell with a separator (like comma or pipe), 2) Create separate rows for each array element (one JSON object becomes multiple CSV rows), or 3) Keep arrays as JSON strings. Choose the approach that fits your use case—joining is most common for simple arrays.
Can I convert JSON that isn't an array of objects?
Yes! If you have a single JSON object, the converter creates one CSV row with columns for each property. If you have an array of primitive values, it creates a single-column CSV. For complex nested structures, the converter flattens them appropriately. Most tools expect arrays of objects, but other structures work too.
Will all JSON objects have the same columns?
Not necessarily. If JSON objects have different keys, the converter creates columns for all unique keys found. Objects missing certain keys will have empty cells in those columns. This handles real-world data where objects may have different properties, ensuring no data is lost.
How do I handle commas in data when using comma delimiter?
The converter automatically quotes fields containing the delimiter character. For example, if a description contains commas and you're using comma delimiter, the entire field is wrapped in quotes. Quotes within quoted fields are escaped by doubling them ("" becomes "). This follows CSV standards and ensures data integrity.
Can I convert very large JSON files?
Yes, the converter handles large files efficiently. However, browser-based processing has practical limits (typically thousands of objects work smoothly). For extremely large files (hundreds of thousands of objects), consider using command-line tools or server-side processing. For most API responses and typical datasets, our online converter works perfectly.
Is my JSON data uploaded to a server?
No, all conversion happens entirely in your browser using JavaScript. Your JSON data never leaves your computer, is never uploaded to any server, and is not stored anywhere. This ensures complete privacy for sensitive data. Once you close the browser tab, the data is gone.
Use Cases
- API Response Exporting: Export data from web APIs to spreadsheet format for analysis or reporting. Convert API responses (often in JSON) to CSV that business users can open in Excel. Perfect for extracting customer data, order history, analytics reports, or any data from web services.
- Database Migration and Import: Convert JSON data exports to CSV for importing into SQL databases or data warehouses. Many database tools accept CSV imports but not JSON. Transform NoSQL database exports (MongoDB, Firebase) into CSV for migration to relational databases or analysis in SQL tools.
- Data Analysis and Reporting: Prepare JSON data for analysis in Excel, R, Python pandas, or other tools that work better with CSV. Data analysts often receive JSON from APIs or applications but need CSV for statistical analysis, creating charts, or generating reports. This conversion enables standard analytical workflows.
- Business Intelligence Tools: Import JSON application data into BI tools like Tableau, Power BI, or Looker that prefer CSV inputs. Convert application metrics, user behavior data, or transaction logs from JSON to CSV format compatible with business intelligence and visualization platforms.
- Backup and Archival: Convert JSON data to CSV for long-term archival in universal format. CSV is more stable and widely supported than JSON for archival purposes—any system can read CSV even decades from now. Export critical data from applications to CSV for safe, long-term storage.