JSON to CSV Converter

Convert JSON arrays to CSV format for spreadsheets.

JSON Input (array of objects)
CSV Output

About JSON to CSV Converter

JSON is the standard format for API responses and data interchange, but spreadsheet tools, data analysis pipelines, and database imports typically require CSV. Converting JSON to CSV manually—mapping keys to columns and formatting values correctly—is tedious and error-prone, especially for large datasets. Our JSON to CSV Converter instantly transforms any JSON array of objects into a clean, properly formatted CSV file. Choose your delimiter, control header output, and optionally flatten nested objects—all in your browser with no data sent to any server.

Key Features

How to Use This Tool

Method 1: Paste JSON

  1. Paste your JSON array of objects into the input area (each object becomes one CSV row)
  2. Select your preferred delimiter (comma is standard; use semicolon for European locales)
  3. Choose whether to include a header row and whether to flatten nested objects
  4. Click "Convert" to generate the CSV output
  5. Click "Copy" or "Download CSV" to use the result

Method 2: Upload a JSON File

  1. Click "Upload" or drag and drop a .json file into the upload area
  2. Configure delimiter and options as needed
  3. The CSV output generates automatically
  4. Download the .csv file to your device

Common Use Cases

Exporting API Data to Spreadsheets

REST APIs return data as JSON, but business users need data in Excel or Google Sheets. Fetch your API response, paste the JSON array here, and download the CSV to open directly in any spreadsheet application. All keys become column headers automatically, and every object becomes a row—ready for filtering, sorting, and analysis without any manual formatting.

Preparing Data for Database Import

Many databases and ETL tools accept CSV as a bulk import format. When your source data is in JSON (from a NoSQL database, a log file, or an API export), convert it to CSV here before importing into MySQL, PostgreSQL, Airtable, or any other system that supports CSV uploads. The flattening option handles nested structures that would otherwise require custom preprocessing code.

Data Analysis and Reporting

Data analysis tools like Python pandas, R, and Tableau work naturally with CSV files. Convert your JSON dataset to CSV for easy loading with pd.read_csv() or read.csv()—no custom JSON parsing code required. This is especially useful for one-off analysis tasks where writing a full ETL script would take longer than the analysis itself.

Tips & Best Practices

Frequently Asked Questions

Q: What JSON structure does this converter accept?

A: The converter expects a JSON array of objects—for example [{...}, {...}, {...}]. Each object in the array becomes one row in the CSV. If your JSON is a single object, wrap it in an array first: [{your object}].

Q: What happens with nested objects and arrays?

A: By default, nested objects are serialized as JSON strings in a single cell. Enable the "Flatten nested" option to convert nested objects to dot-notation columns (e.g., user.name, user.address.city). Nested arrays are always serialized as JSON strings since CSV does not support array values natively.

Q: Is my JSON data private?

A: Yes. All conversion happens in your browser using JavaScript. Your JSON data is never uploaded to any server, stored, or transmitted anywhere.

Q: Do I need to sign up to use this?

A: No. The tool is completely free with no registration required.