JSON to CSV Converter & Table Exporter
Convert JSON arrays of objects into RFC 4180 compliant CSV spreadsheet files.
Privacy First: 100% Client-Side Processing
Processed in your browser. Files are never uploaded.
How to Use the JSON to CSV: Convert JSON Array to Spreadsheet CSV
- 1Paste your JSON array of objects into the editor.
- 2Review the extracted row count and column count.
- 3Inspect the formatted CSV output in the preview box.
- 4Click 'Copy CSV' to paste directly into Microsoft Excel or save as a .csv file.
Formula & How It Works
RFC 4180 CSV Formatting Standard
Extracts keys as headers and escapes commas and double-quotes per row.
Worked Examples
Converting Product Inventory JSON
Input: [{"id": 1, "product": "Laptop", "price": 999}]
Explanation: Generates clean RFC 4180 header row followed by itemized data records.
Frequently Asked Questions
Can I open the generated CSV in Microsoft Excel?▼
Yes, our CSV output complies with the universal RFC 4180 standard, which opens directly in Excel, Google Sheets, and Numbers.
How are commas and quotes handled inside data fields?▼
Fields containing commas are enclosed in quotes, and internal quotes are escaped by doubling them according to RFC 4180 rules.
What if some objects in the array have missing keys?▼
Missing keys are safely rendered as empty string fields ("") to keep table column alignment perfectly intact.
Is my data sent to any third-party server?▼
No. The entire JSON parsing and CSV export operates 100% locally inside your web browser.
Quick Reference & Conversion Table
| JSON Data Type | CSV Conversion Rule | Example JSON | Example CSV |
|---|---|---|---|
| String with Comma | Enclosed in double quotes | {"city": "Paris, France"} | "Paris, France" |
| Number / Integer | Direct string representation | {"age": 32} | "32" |
| Boolean | true or false string | {"active": true} | "true" |
| Quotes inside string | Escaped as double quotes | {"text": "He said \"hi\""} | "He said ""hi""" |
⚠️ Common Pitfalls to Avoid
- •Pasting a single object instead of an array of objects enclosed in square brackets `[...]`.
- •Forgetting that nested child objects will be converted to stringified text representation.
💡 Practical Real-World Uses
- •Exporting REST API JSON database responses for business intelligence reporting in Excel.
- •Migrating NoSQL database collections into relational SQL databases.
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