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JSON to CSV Converter

Convert JSON array to CSV format instantly online. Free JSON to CSV converter. Handles nested objects, arrays of objects, and custom delimiters.

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CSV (Comma-Separated Values) is the universal plain-text format for tabular data. Its simplicity — rows separated by newlines, fields separated by commas, with optional quoting for fields that contain commas or newlines — makes it natively readable by every spreadsheet application (Microsoft Excel, Google Sheets, Apple Numbers, LibreOffice Calc), importable by every database tool, and processable by virtually every data analysis library (pandas, R, dplyr). JSON, while the standard for web APIs, is not natively understood by most spreadsheet tools.

JSON to CSV conversion transforms a JSON array of objects into a flat CSV table. Each object in the array becomes a row; the union of all object keys becomes the column headers. Fields containing commas, quotes, or newlines are automatically wrapped in double quotes per RFC 4180, with internal quotes doubled. Nested objects are serialized as JSON strings within the cell, preserving the data while fitting the flat CSV structure.

This tool converts JSON arrays to CSV using the PapaParse library, which handles all RFC 4180 edge cases including field quoting, embedded newlines, and special character escaping. The output can be downloaded as a .csv file or copied to the clipboard for pasting directly into Excel or Google Sheets. Because PapaParse's output is RFC 4180 compliant, it imports correctly without needing to specify delimiter or quoting options in Excel's Text Import Wizard.

Common Use Cases

Exporting API data to Excel and Google Sheets

Data analysts and business users frequently need to analyze JSON API responses in a spreadsheet. Financial APIs, CRM systems, analytics platforms, and e-commerce backends return data as JSON arrays. Converting the response to CSV enables direct import into Excel for pivot tables, charts, VLOOKUP, and conditional formatting — tasks that require the tabular structure of a spreadsheet rather than the hierarchical structure of JSON.

Preparing data for import into databases and CRM systems

Databases (PostgreSQL COPY, MySQL LOAD DATA INFILE, SQLite .import), CRM platforms (Salesforce Data Loader, HubSpot import), and marketing tools (Mailchimp audience import, Klaviyo list upload) all accept CSV as their primary bulk import format. When data originates from a JSON API or is structured as a JSON file, converting to CSV is the required preprocessing step before these import workflows can proceed.

Creating downloadable data exports for web applications

Web applications that display data tables (admin dashboards, reporting tools, order management systems) commonly offer a 'Download as CSV' feature so users can take data into their own analysis tools. The application's backend fetches records as JSON from a database or API, converts to CSV, and serves the file with a text/csv Content-Type header. The JSON-to-CSV conversion is a standard step in implementing these export endpoints.

How to Use the JSON to CSV Converter

  1. Paste a JSON array of objects in the left panel.
  2. CSV output with headers appears automatically.
  3. Click "Copy Output" to copy the CSV to your clipboard.
  4. Use "Load Example" to see a sample JSON array.
  5. Click "Clear" to reset both panels.

Requirements