JSON to CSV Converter.

To convert JSON to CSV, paste your JSON data into the input box above (or upload a JSON file), then click the Convert button. The tool instantly flattens nested JSON objects into a tabular CSV format and outputs the result. You can then copy the CSV to your clipboard or download it as a .csv file. All processing happens in your browser — your data never leaves your device.

Upload your .json file using the file upload area above, or simply drag and drop the file. The converter reads the JSON structure, flattens any nested objects into columns, and generates a properly quoted CSV. Click Convert, then Download to save the .csv file to your computer. For large files, the conversion is instant since everything runs client-side.

Yes. This free online tool converts JSON arrays and objects into CSV format instantly in your browser. No signup, no uploads to any server, and no file size limits. It handles nested JSON objects by flattening them into dot-notation column headers (e.g., address.city).

The best tool depends on your needs: for a quick online conversion with no limits and full privacy, jsontofile.com is ideal since all processing is client-side. For programmatic conversions, use papaparse in Node.js, csv or pandas in Python, or Excel's built-in Power Query. For one-off tasks where you want zero setup, our web tool above is the fastest option.

In Python, you can use the built-in csv module with json:
import json, csv
with open('data.json') as jf, open('out.csv', 'w', newline='') as cf:
  data = json.load(jf)
  w = csv.DictWriter(cf, fieldnames=data[0].keys())
  w.writeheader()
  w.writerows(data)
For larger datasets, pandas.DataFrame(data).to_csv('out.csv', index=False) is even simpler.

In Excel, use Power Query: go to Data → Get Data → From File → From JSON, select your file, and use the Power Query Editor to transform the JSON structure into a table. Click Close & Load to import as a sheet, then save as CSV. Alternatively, our online converter above does this in one click without opening Excel.

In Node.js, use the papaparse library:
import Papa from 'papaparse';
import fs from 'fs';
const csv = fs.readFileSync('data.csv', 'utf8');
const result = Papa.parse(csv, { header: true });
console.log(JSON.stringify(result.data, null, 2));
This parses the CSV with headers and outputs clean JSON.

Most data tools support both formats. JSON is best for nested or structured data (APIs, configs), while CSV is best for flat tabular data (spreadsheets, databases). To import: load your file in the tool's import dialog. To export: choose your preferred format. jsontofile.com lets you convert between both formats in either direction without installing anything.