JSON to CSV Converter

Convert JSON arrays of objects to CSV format online. Automatically detects columns, handles nested data, and escapes special characters.

Your data never leaves your browser

How to Use

  1. 1

    Paste your JSON

    Enter a JSON array of objects, e.g. [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}].

  2. 2

    Click Transform

    The tool extracts all unique keys as CSV headers and converts each object to a row.

  3. 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?
Nested objects and arrays are serialized as JSON strings in the CSV output. For example, {"address": {"city": "NYC"}} becomes a cell containing the JSON string.
What if objects have different keys?
The tool collects all unique keys from all objects and uses them as column headers. Missing values are left as empty cells.
How are special characters handled?
Values containing commas, double quotes, or newlines are automatically wrapped in double quotes, and any double quotes within are escaped by doubling them, per the CSV standard (RFC 4180).
Can I convert nested JSON to CSV?
Nested objects and arrays are serialized as JSON strings within CSV cells by default. If you need flattened columns (e.g. address.city), pre-process your data with jq or pandas using dot-notation expansion. See our guide on How to Convert JSON to CSV for step-by-step instructions.
What is the maximum size JSON I can convert?
There is no hard limit. The converter works well with files up to several megabytes. All processing happens entirely in your browser, so performance depends on your device — most modern machines handle 5–10 MB of JSON without issue.

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