JSON to CSV Converter
Convert raw or nested JSON data into clean, RFC 4180 compliant CSV tables with live spreadsheet preview.
How to Use JSON to CSV Converter
- Paste your JSON data into the input box or upload a .json file.
- Choose your delimiter (Comma, Semicolon, Tab, or Pipe) and configure nested flattening options.
- Preview the converted CSV text and interactive spreadsheet grid in real-time.
- Copy CSV directly to your clipboard or click 'Download CSV' to save the file.
Key Features & Privacy Guarantee
- Nested Object Flattening: Automatically flattens deep nested JSON structures into dot (user.address.city) or underscore notation.
- Array Handling Options: Flexible parsing for nested arrays (comma-separated list, stringified JSON, or indexed fields).
- RFC 4180 Compliant: Properly handles commas, quotes, line breaks, and escaped characters.
- Excel-Ready UTF-8 BOM: Prepend Byte Order Mark so Microsoft Excel opens special characters and accents seamlessly.
- Live Interactive Grid: Search, filter, and inspect converted rows in a real-time table preview before exporting.
- Selective Column Export: Toggle checkboxes to include or exclude specific fields.
- 100% Client-Side Privacy: All parsing occurs in your browser memory. No data is sent to external servers.
Frequently Asked Questions
How does this tool handle nested JSON objects?
You can choose to flatten nested objects using dot notation (e.g. parent.child.key) or underscore notation (parent_child_key), stringify them as raw JSON, or ignore them completely.
Why do special characters look garbled in Microsoft Excel?
Microsoft Excel on Windows requires a UTF-8 BOM (Byte Order Mark) to recognize non-ASCII characters (such as accents, currency symbols, and emojis). Our tool includes an 'Excel UTF-8 BOM' toggle enabled by default to prevent encoding errors.
Can I convert single JSON objects or keyed dictionaries?
Yes! The converter automatically detects whether your input is an array of objects, a single dictionary object, or keyed object collections (e.g. { 'user1': {...}, 'user2': {...} }) and standardizes them into tabular rows.
Is there a limit on file size or row count?
Because processing runs entirely in your local browser JavaScript engine, you can convert thousands of rows in milliseconds with complete data confidentiality.