JSON to CSV Converter
Convert JSON arrays of objects to CSV format online. Automatically detects columns, handles nested data, and escapes special characters.
How to Use
- 1
Paste your JSON
Enter a JSON array of objects, e.g. [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}].
- 2
Click Transform
The tool extracts all unique keys as CSV headers and converts each object to a row.
- 3
Copy or download
Copy the CSV text or download it as a .csv file to open in Excel or Google Sheets.
What is JSON to CSV Converter?
CSV (Comma-Separated Values) is the simplest tabular data format: each line is a row, values are separated by commas, and every spreadsheet application, database, and data-analysis library can read it without a special parser. When APIs, webhooks, or microservices hand you data as JSON, a json to csv converter turns that structured data into rows and columns you can immediately open in Excel or Google Sheets.
The most common reason to convert JSON to CSV is exporting API data for reporting and analysis. Product teams pull user metrics from a REST endpoint, data engineers feed JSON arrays into pandas or R, and business analysts need the same data in a spreadsheet they can sort, filter, and chart. A fast json csv export tool eliminates the manual copy-and-paste step and keeps column headers consistent across runs.
This free json to csv converter online accepts a JSON array of objects — each object becomes a row — or a single JSON object that becomes one row. Column headers are automatically extracted from all unique keys across every object, so even ragged arrays with inconsistent fields are handled gracefully. Nested objects and arrays are serialized as JSON strings in the resulting cells, and values containing commas, double quotes, or newlines are escaped per the CSV standard (RFC 4180).
For more complex flattening scenarios — such as dot-notation expansion of nested objects — pre-process your data with jq or pandas before pasting, or see our guide on How to Convert JSON to CSV. You can also validate your source data first with the JSON Validator or inspect its structure with the JSON Tree Viewer before exporting to CSV.
FAQ
What happens with nested objects?
What if objects have different keys?
How are special characters handled?
Can I convert nested JSON to CSV?
What is the maximum size JSON I can convert?
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