JSON to CSV Converter Online
The fastest way to convert JSON to CSV free. Export your data arrays for Excel and Google Sheets instantly and securely.
JSON Array Input
CSV Output
Built With Care
“CSV is the universal format for spreadsheet import. This tool auto-detects headers from the first object, escapes special characters, and produces RFC 4180-compliant output.”
JSON to CSV Converter
Paste a JSON array of objects and get a CSV table back. Handles nested keys, missing fields, and mixed types. Good for exporting data into Excel or Google Sheets.
- 1Ensure your JSON is formatted as an array of objects (e.g., [{}, {}]).
- 2Paste the JSON payload into the input editor on the left.
- 3Click the green refresh icon to trigger the conversion process.
- 4Review the comma-separated results in the output window.
- 5Download the result as a .csv file for immediate use in Excel or Google Sheets.
- Auto-Schema Detection: Automatically identifies headers from the first object in your array.
- Excel Ready: Correctly escapes special characters and quotes for seamless spreadsheet imports.
- Instant Export: One-click download of your converted data as a properly named CSV file.
- Client-side conversion — no upload required, works offline.
- Visual Validation: Real-time error feedback if your JSON structure is malformed.
JSON to CSV Converter Specs
Limits
- Top-level JSON array of objects
- Headers derived from first object's keys
Formats
- Output: CSV with quoted fields and proper escaping
Defaults
- Empty input
How it works
- Plain JS array map + RFC 4180 escaping
Honest caveats
- Nested objects are stringified as JSON inside the cell
- Array values become comma-separated within a quoted cell
Real Ways People Use This
Data Export
Convert API responses or database query results into CSV files for easy sharing with non-technical stakeholders.
Spreadsheet Import
Prepare JSON data for import into Excel, Google Sheets, or Numbers for analysis and reporting.
Data Migration
Transform JSON datasets into CSV format for migration between systems or bulk upload to databases.
- CSV is tabular, so nested JSON objects/arrays are flattened or stringified and may need post-processing.
- Column order derives from detected keys; mixed object shapes can create sparse rows.
- Delimiter/encoding expectations in downstream tools should be validated before sharing.
- 1Use a JSON array of objects with consistent key sets.
- 2Convert and inspect first rows for header order and nested-field handling.
- 3Open output in target spreadsheet/database tool and verify import behavior.