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Convert JSON arrays to CSV format online. Supports custom delimiters and download.
Convert JSON arrays to CSV format online. Supports custom delimiters and download.
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Paste your JSON array data into the input field. The data should be an array of objects where each object represents a row, like [{"name":"John","age":30},{"name":"Jane","age":25}].
Configure the delimiter if needed. The default is a comma, but you can switch to semicolons, tabs, or pipes depending on your target application. European locales often use semicolons since commas are used as decimal separators.
Click the Convert button to transform your JSON into CSV format. The tool automatically extracts column headers from the object keys and aligns all values into rows.
Preview the CSV output to verify the conversion is correct, then copy it to your clipboard or download it as a .csv file for use in spreadsheets, databases, or data analysis tools.
Data analysts frequently need to convert API responses and JSON datasets into CSV format for analysis in tools like Excel, Google Sheets, R, Python pandas, and SQL databases. This converter bridges the gap between modern API formats and traditional data analysis tools.
Non-technical stakeholders often request data in spreadsheet format. Converting JSON to CSV lets you quickly share database exports, analytics data, and API results with colleagues who prefer working with Excel or Google Sheets.
The converter handles complex JSON structures by flattening nested objects and arrays into a flat CSV format. This automatic flattening saves hours of manual data restructuring.
All conversion happens in your browser. Sensitive data from your APIs, databases, and applications is never sent to any server during the conversion process.
Unlike many JSON-to-CSV converters that have file size limits or require paid subscriptions, this tool is completely free with no restrictions on data volume.
Ensure your JSON is a properly formatted array of objects. Single objects or nested structures may need to be restructured before conversion.
If your data contains commas within values (like addresses), the converter automatically wraps those fields in quotes to preserve the CSV structure.
For European regions, switch the delimiter to semicolons since Excel in many European locales expects semicolons as field separators.
Large datasets convert faster in modern browsers. If you experience slowness with very large files, try processing in smaller batches.
The converter expects a JSON array of objects, where each object becomes a row in the CSV output. For example: [{"name":"Alice","email":"alice@example.com"},{"name":"Bob","email":"bob@example.com"}]. The keys from the objects become the CSV column headers. All objects in the array should ideally have the same keys, though the tool handles missing keys gracefully by leaving those cells empty.
The converter handles flat JSON objects most effectively, where each key has a simple value (string, number, boolean, null). For nested objects, the tool flattens them using dot notation for the column headers. Deeply nested structures may require pre-processing to achieve the desired CSV layout. For best results, flatten your JSON to a single level before conversion.
The tool supports comma (default, standard CSV), semicolon (common in European locales where commas are decimal separators), tab (TSV format, used by many database tools), and pipe (used in some specialized data processing pipelines). Choose the delimiter that matches your target application's import requirements.
Values containing the delimiter character, double quotes, or line breaks are automatically enclosed in double quotes according to the CSV specification (RFC 4180). Double quotes within values are escaped by doubling them. This ensures the CSV output is properly parseable by any standard CSV reader.
Since the conversion runs in your browser, the limit depends on your device's available memory. Modern devices can typically handle JSON files up to several megabytes containing thousands of rows without issues. For very large datasets (hundreds of thousands of rows), the conversion may take a few seconds but will complete successfully on most modern devices.
Yes. Download the CSV file and open it in Excel, Google Sheets, LibreOffice Calc, or any spreadsheet application. If Excel does not properly parse the columns, try using the Text Import Wizard (available under Data > From Text in Excel) to specify the correct delimiter. European versions of Excel may default to semicolon delimiters, so adjust the converter's delimiter accordingly.
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