JSON to CSV Converter

How to Use the JSON to CSV Converter

1. Paste JSON array: Enter a JSON array (list of objects) into the left panel. Each object should have the same or similar structure to create proper CSV columns.
2. Convert: Click "Convert" to transform your JSON into CSV format. The first row will contain headers automatically extracted from the object keys.
3. Download: Click "Download CSV" to save the output as a .csv file that opens in Excel, Google Sheets, or any spreadsheet application.
4. Copy output: Use "Copy CSV" to copy the CSV data to your clipboard for pasting elsewhere.

What is CSV?

CSV (Comma-Separated Values) is a simple text format for storing tabular data. Each line represents a row, and values within each row are separated by commas. The first row typically contains column headers. CSV is universally supported by spreadsheet applications like Microsoft Excel, Google Sheets, Apple Numbers, and database tools.

CSV files are ideal for exchanging data between different systems because they're plain text and have a simple structure. Despite the name, CSV files can use other delimiters like semicolons or tabs, though commas are most common. The format doesn't preserve formatting, formulas, or multiple sheets, but excels at representing simple tabular data.

JSON to CSV Conversion Rules

Array requirement: The JSON must be an array of objects. Each object represents one row in the CSV output. Single objects or primitive values cannot be converted to CSV.

Headers: Column headers are automatically extracted from the keys of the JSON objects. All unique keys across all objects become columns.

Nested objects: Nested objects are flattened using dot notation. For example, {"user": {"name": "John"}} becomes a column named user.name.

Arrays: Array values are converted to JSON strings to preserve the data structure within a single CSV cell.

Missing values: If an object is missing a key that exists in other objects, that cell is left empty in the CSV.

Common Use Cases

API data export: Convert JSON responses from REST APIs into CSV for analysis in spreadsheet applications.

Database exports: Transform NoSQL database exports (MongoDB, Firebase) into CSV for importing into SQL databases or Excel.

Data analysis: Prepare JSON data for analysis in tools like Excel, R, or Python pandas that work well with CSV.

Reporting: Convert application logs or analytics data from JSON to CSV for sharing with non-technical stakeholders.

CSV Format Tips

Quoting: Values containing commas, quotes, or newlines are automatically wrapped in double quotes to preserve the data correctly.

Excel compatibility: The output follows RFC 4180 CSV standards, ensuring compatibility with Microsoft Excel and other spreadsheet applications.

UTF-8 encoding: The converter uses UTF-8 encoding to support international characters and symbols.

Large datasets: For very large JSON files, consider breaking them into smaller chunks to avoid browser performance issues.

Related Tools

Need to convert CSV back to JSON? Use the CSV to JSON Converter. Also format JSON with the JSON Formatter or convert to YAML with the JSON to YAML Converter.