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๐Ÿ“ Text Tools: { } JSON Formatter ๐Ÿ” Base64 ๐Ÿ”— URL Encoder ๐Ÿ“‹ CSV to JSON ๐Ÿ“Š JSON to CSV

Free JSON to CSV Converter

Transform nested JSON data into clean CSV format instantly โ€” 100% private, no server upload

โšก Arrays ยท Nested Objects ยท Custom Delimiters ยท Auto Flatten

๐Ÿ”„ Data Transformer

Ctrl+Enter Convert
๐Ÿ“ JSON Input (Array of objects)
๐Ÿ“„ CSV Output (RFC 4180 compliant)
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What is JSON to CSV Conversion?

JSON (JavaScript Object Notation) is a lightweight data-interchange format widely used in web APIs and modern applications. CSV (Comma-Separated Values) is a simple tabular format compatible with spreadsheet software like Excel, Google Sheets, and database systems. Converting JSON to CSV allows you to analyze JSON data in familiar spreadsheet tools, import into databases, or share with non-technical stakeholders.

Why Use Our JSON to CSV Converter?

Our tool offers 100% client-side processing โ€“ your data never leaves your browser. It supports nested object flattening using dot notation (e.g., user.address.city), custom delimiters (comma, semicolon, tab, pipe), automatic header detection, and proper RFC 4180 CSV escaping for quotes and special characters. Perfect for developers, data analysts, and anyone working with API data exports.

โ“ Frequently Asked Questions

Is my data sent to any server?

No. All processing happens entirely in your browser using JavaScript. Your JSON data never leaves your device. Everything is 100% client-side.

What JSON formats are supported?

The converter supports JSON arrays of objects, single objects (wrapped as array), and arrays of primitive values. Nested objects are flattened using dot notation (e.g., 'profile.name').

Does it handle nested objects?

Yes. When 'Flatten nested objects' is enabled, nested objects are flattened using dot notation. For example, {user: {name: 'John'}} becomes column 'user.name' with value 'John'.

What delimiters are supported?

Our JSON to CSV converter supports comma (,), semicolon (;), tab (\t), and pipe (|) delimiters. This is useful for different regional CSV formats.