JSON InputArray of objects · or drop a .json file
CSV OutputResult

When JSON data needs to become a spreadsheet

REST APIs return JSON, but analysts, PMs, and clients want CSV they can open in Excel or Google Sheets. Converting JSON to CSV bridges that gap instantly — no Python script, no pandas, no ETL pipeline. It's particularly useful for API responses that return flat arrays of records, which map naturally to CSV rows.

How column headers are derived

The converter scans the first object in the array and uses its keys as column headers. Every subsequent object is flattened to match. If your JSON array contains objects with different keys, you'll see empty cells where a key was absent — which is the correct, lossless representation in CSV. Nested objects are not supported; flatten them first if needed.

Use cases: reporting, exports, data handoff

Product teams export API data to CSV to build pivot tables without engineering help. Data analysts pull JSON from internal tools and drop it into BI platforms that require CSV import. Developers generate CSV fixtures from seed data for database migrations. All conversion happens in your browser — nothing is sent to a server.