CConvertCSV

JSON to CSV Converter

Convert JSON arrays or objects to CSV instantly

Output Preview

No output yet. Upload or paste input and convert.

JSON to CSV Converter

JSON (JavaScript Object Notation) is the standard format for API responses and configuration files. This converter flattens JSON arrays and objects into spreadsheet columns so you can inspect, filter, and share the data without writing a script.

About the JSON to CSV format

The converter handles JSON arrays of objects (most common API response shape), single objects, and nested structures. Nested keys become column names with dot notation (e.g., address.city). Arrays of primitive values are joined into a single cell. The output is standard CSV with a header row derived from the object keys.

Common use cases

  • Flattening a REST API response to share with a colleague who only uses Excel.
  • Converting a JSON data dump from MongoDB into rows for a BI dashboard import.
  • Turning a package.json dependency list into a spreadsheet for license auditing.
  • Preparing test fixture data exported from a staging environment as CSV seed data.

How to use this tool

  1. Upload your JSON file or paste the source content into the text box on this page.
  2. Click the convert button and wait for the browser to parse the input into consistent columns.
  3. Inspect the output preview — check row counts, column headers, and sample values before downloading.
  4. Download the result as CSV and continue with your spreadsheet, database, or reporting workflow.

Tips for best results

  • If your JSON is an array of objects, each object becomes one row — the most common and cleanest result.
  • Deeply nested objects produce wide tables with dotted column names; consider flattening in the source if you only need top-level fields.
  • Paste raw JSON directly into the text area if you copied it from a browser network tab or API client.

Common pitfalls

JSON with inconsistent keys across objects will produce sparse rows with empty cells — this is expected. JSON that is a single primitive value (a string or number) cannot be converted to CSV because there are no columns to extract.

For more background on data formats and conversion workflows, read our format guides or browse the converter blog for step-by-step walkthroughs linked to each tool.