What JSON formats are supported?

The tool supports JSON arrays of objects (e.g., [{"name": "John"}, {"name": "Jane"}]) and single JSON objects. Arrays of objects convert best—each object becomes a CSV row. Single objects are also supported. Nested objects are flattened automatically.

How are nested objects handled?

Nested objects are flattened in CSV format. For example, {"user": {"name": "John"}} becomes a column like 'user.name' or flattened structure. Complex nested structures may lose hierarchy—CSV is a flat format. For best results, use relatively flat JSON structures.

Can I choose the CSV delimiter?

Yes! You can select delimiter: comma (,), semicolon (;), or tab. Comma is standard for most applications. Semicolon is common in European locales. Tab is useful for some applications. Choose based on your target application's requirements.

What happens to arrays within JSON objects?

Arrays within JSON objects are converted to strings in CSV. For example, {"tags": ["a", "b"]} becomes a CSV cell with value '[a,b]' or similar string representation. CSV doesn't support arrays—they're stored as text. Spreadsheet applications can parse these strings if needed.

Can I convert very large JSON files?

The tool can handle reasonably large JSON files, but very large files (over 10MB) may process slowly or cause browser performance issues. For very large files, consider splitting data into smaller chunks or using desktop conversion tools. The tool is optimized for typical API responses and datasets.

JSON to CSV Converter - Free Online Tool

When to Use This Tool

Use this when:

You need to convert JSON data to CSV format for Excel, Google Sheets, or spreadsheet applications
You want to export API responses or JSON data to CSV for data analysis
You're working with JSON data and need to import it into spreadsheet software
You need to convert JSON arrays to tabular format for reporting or data visualization
You want to share JSON data in a format that's easy to view and edit in spreadsheets
You're migrating data from JSON format to CSV for compatibility with legacy systems
You need to convert nested JSON objects to flat CSV structure

Don't use this if:

You need to convert CSV to JSON (use CSV to JSON converter)
You require complex nested structures preserved exactly (CSV flattens nested data)
You need to convert very large JSON files (over 10MB may process slowly)
You want to preserve JSON data types exactly (CSV converts everything to strings)
You require JSON-specific features like arrays of objects with varying structures

What is a JSON to CSV Converter?

A JSON to CSV converter transforms JSON data (arrays of objects) into CSV (Comma-Separated Values) format for use in spreadsheets, databases, and data analysis tools. Our converter processes everything in your browser — your data never leaves your device.

JSON to CSV conversion is essential when you need to analyze API data in Excel or Google Sheets, import JSON datasets into databases that accept CSV, create reports from JSON-formatted application data, share data with colleagues who prefer spreadsheet formats, and export application data for backup or migration.

This tool is valuable for data analysts converting API responses for spreadsheet analysis, business users preparing data for Excel-based reports, developers exporting application data for stakeholders, product managers creating data exports from JSON APIs, and anyone who needs to bridge the gap between web application data (JSON) and traditional spreadsheet tools (CSV).

Compared to writing custom conversion scripts (which require programming), online converters that upload your data to servers (privacy risk for business data), or manual data entry (impractical for large datasets), PureXio converts JSON to CSV instantly in your browser with intelligent column mapping.

The tool automatically flattens nested JSON objects into columns, handles arrays within objects, supports configurable delimiters (comma, semicolon, tab), adds proper CSV quoting for values containing delimiters or newlines, and preserves data types. You can preview the CSV output before downloading.

Best for: converting JSON arrays to CSV for spreadsheets and databases. Auto-flattens nested objects. Configurable delimiters. Preview before download. Fully private.

How to Convert JSON to CSV

Paste your JSON data into the input field. JSON can be an array of objects (e.g., [{"name": "John", "age": 30}]) or a single object. Select delimiter: comma, semicolon, or tab

Click 'Convert to CSV' to convert JSON to CSV format. Tool automatically extracts keys as headers and values as rows. Nested objects are flattened

Review the converted CSV output. Copy CSV to clipboard or download as CSV file. Use in Excel, Google Sheets, or any spreadsheet application

Common Use Cases

Export API responses: Convert JSON API data to CSV for Excel analysis or reporting

Spreadsheet import: Convert JSON data to CSV for importing into Excel or Google Sheets

Data analysis: Convert JSON datasets to CSV for spreadsheet-based data analysis

Data migration: Convert JSON data to CSV for compatibility with legacy systems or databases

Reporting: Convert JSON data to CSV for creating reports or data visualizations

Data sharing: Convert JSON to CSV for sharing data in universally readable format

Excel compatibility: Convert JSON arrays to CSV for Excel pivot tables or data manipulation

Features

Convert JSON arrays to CSV format with automatic header generation

Handle nested JSON objects by flattening nested structures

Support for custom delimiters: comma, semicolon, or tab

Automatic header extraction from JSON object keys

Download converted CSV as file for use in spreadsheet applications

One-click copy CSV to clipboard

100% private—all processing happens in your browser

Limitations & Constraints

Nested objects are flattened—complex nested structures may lose hierarchy

Arrays within objects are converted to strings—may not preserve array structure

Data types are converted to strings—numbers, booleans become text in CSV

Very large JSON files (over 10MB) may process slowly—consider splitting data

CSV format doesn't preserve JSON data types—all values become strings

Troubleshooting

JSON conversion fails or shows error

Solution: Check that JSON is valid—malformed JSON causes conversion errors. Ensure JSON is properly formatted with correct brackets, braces, and quotes. JSON arrays should be in format: [{"key": "value"}]. Single objects are also supported. Fix JSON syntax errors first, then convert. Prevention: Validate JSON before converting.

CSV output looks wrong or missing data

Solution: Verify JSON structure—arrays of objects convert best. If JSON has varying structures, some data may be missing. Nested objects are flattened—check that all important data is included. Ensure JSON array contains objects with consistent keys. Prevention: Use consistent JSON structure for best results.

Nested objects not converting correctly

Solution: Nested objects are flattened in CSV—nested properties may be combined or simplified. Complex nested structures may lose hierarchy. For best results, use flat JSON objects or expect nested data to be flattened. Prevention: Understand that CSV flattens nested structures.

Arrays within objects become strings

Solution: Arrays within JSON objects are converted to strings in CSV (e.g., [1,2,3] becomes '[1,2,3]'). This is expected behavior—CSV doesn't support arrays. If you need array data, consider preprocessing JSON to flatten arrays or use specialized tools. Prevention: Understand CSV limitations with array data.

Data types are wrong in CSV (numbers as text)

Solution: CSV format stores all values as text—numbers and booleans become strings. This is normal CSV behavior. Spreadsheet applications can convert text to numbers after import. If you need to preserve data types, use JSON format or convert data types in spreadsheet after import. Prevention: Understand that CSV stores all values as text.