JSON to CSV Converter

Convert JSON arrays and objects into CSV format instantly. Download as .csv or copy to clipboard. 100% client-side — your data never leaves your browser.

100% Client-SideNo UploadFree ForeverNo Sign-up
Indent:
Input
0 chars
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
0 chars
Output will appear here...

How to Use the JSON Formatter

1. Paste or type your JSON into the input panel on the left. The tool auto-formats your JSON as soon as you paste it, so you get instant results with zero clicks. You can also click "Load sample" to try it out with example data.

2. Choose your action from the toolbar. Click Format to beautify with your preferred indentation (2 spaces, 4 spaces, or tabs). Click Minify to compress your JSON into a single line. Click Validate to check for syntax errors with precise line and column numbers.

3. Explore and export your formatted output. Switch to Tree View to navigate your JSON structure with collapsible nodes and click any node to copy its path. Use the conversion tabs to transform your JSON into CSV, XML, or YAML. Copy or download the result with one click.

All processing runs entirely in your browser using native JavaScript. Your data is never uploaded to any server, making this tool safe for sensitive or proprietary JSON data. There are no file size limits beyond your browser's memory.

Ad

Frequently Asked Questions

Paste your JSON into the input panel, and the tool will automatically format it. The CSV conversion appears in the conversion tabs below the main editor. Click the 'JSON to CSV' tab to see your data as CSV, then copy or download the result.
An array of flat objects works best for CSV conversion, where each object becomes a row and each key becomes a column header. For example: [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]. Nested objects will be flattened or stringified.
Yes, but with limitations. CSV is a flat format, so nested objects and arrays are serialized as strings in the CSV output. For deeply nested JSON, consider flattening your data first or using a format like XML or YAML that better supports hierarchical data.
Yes. Click the Download button to save the CSV file, then open it directly in Microsoft Excel, Google Sheets, LibreOffice Calc, or any other spreadsheet application. The comma-separated format is universally supported.
There is no hard limit. Since all processing happens in your browser, the practical limit depends on your browser's available memory. The tool can handle JSON files with thousands of records without issues.

Related Tools

{}Base64 Encoder.*Regex Tester{ }CSS FormatterAaWord Counter