Json To Csv

Free online tool. All processing is client-side. No signup needed.

How to Use the Json To Csv

1. Enter your input values above
2. Results update automatically
3. Copy or download the output

What is a Json To Csv?

A JSON to CSV converter transforms structured JSON data — especially arrays of objects (like API responses, database exports, or log entries) — into CSV (Comma Separated Values) format that can be opened in Excel, Google Sheets, or any spreadsheet application. While JSON is perfect for programs and APIs, CSV is the universal format for data analysis, reporting, and non-technical stakeholders. This tool bridges the gap between developer data formats and business-readable spreadsheets.

How Does It Work?

Paste an array of JSON objects. The converter identifies all unique keys across all objects (handling cases where some objects have extra or missing fields), generates a header row from the keys, and writes each object as a data row with values in the corresponding columns. Nested objects can be flattened (e.g., address.city → column 'address.city') or omitted. Array values are joined with delimiters. The CSV output can be copied, downloaded as a .csv file, or previewed in a table view.

Formula

JSON Input: [{key1: val1, key2: val2, ...}, ...]\n\nCSV Output:\nkey1,key2,key3,...\nval1,val2,val3,...\nval1,val2,val3,...\n\nFlattening: nested.key → 'nested.key' header\nArray joining: [a,b,c] → 'a;b;c' (customizable delimiter)\n\nSpecial handling:\n• Null → empty cell\n• String with comma → quoted with double quotes: \

Who Uses This Tool?

• Data analysts converting API responses for Excel/Power BI analysis
• Developers exporting database query results for non-technical team members
• Marketers downloading campaign data from marketing APIs
• Researchers converting JSON datasets for statistical software (SPSS, R)
• Business users transforming JSON exports into spreadsheet-friendly format

Pro Tips

• For nested JSON objects, choose between flattening (address.city → column) or omitting. Flattening works for simple nesting (1-2 levels deep); deeper nesting is usually better handled by JSON tools
• First row contains all keys found across ALL objects, not just the first object. This handles inconsistent JSON where some objects have extra fields
• For large JSON arrays (>1000 objects), download as CSV rather than copying to clipboard
• CSV files have no schema or type information — numbers and dates become strings. Remember to set column types in Excel/Sheets after import

Frequently Asked Questions about Json To Csv

What CSV delimiter does this use?

Comma by default, but you can switch to tab (TSV), semicolon, or pipe delimiters. Use comma for US/UK Excel, semicolon for European Excel (where comma is decimal separator). Tab-delimited is the most robust for data with commas.

How does the converter handle missing fields?

The header row includes every unique key from all objects. If an object doesn't have a particular key, that cell is left empty. This ensures no data is lost even with inconsistent JSON structures.

Free online Json To Csv — no signup, 100% client-side processing. All data stays in your browser.