JSON to CSV Converter Online
Convert JSON arrays and objects into CSV rows with browser-side processing, nested object flattening, delimiter choices, syntax-error hints, and downloadable output. Use it for spreadsheet exports, API samples, mock data, and quick developer cleanup.
Local processing note
Pasted JSON is parsed locally in the browser. Use scripts or database exports for very large files.
Try a common JSON shape
JSON to CSV note
Flattening nested objects may change how arrays, null values, and repeated fields are represented. Review the generated headers before using the CSV for imports or analytics.
A JSON to CSV converter turns object fields into column headers and object values into rows.
It is the reverse workflow of a CSV to JSON converter, with copy and download output.
Array of objects
Use a JSON array where each item has similar keys for the cleanest CSV table.
Stable keys
Flatten nested objects when you want nested values to become predictable dot-path CSV columns.
JSON object keys -> CSV columns
Objects with missing fields receive blank cells. Values containing quotes, line breaks, or delimiters are escaped with standard CSV quoting, and invalid JSON shows parser hints before conversion.
CSV is a table format, so deeply nested or irregular JSON may need flattening before it becomes useful in a spreadsheet or import workflow.
This tool creates CSV output only. It does not validate target database schemas or spreadsheet formulas, and very large exports are better handled with scripts.
API response exports
Turn JSON arrays from API examples into CSV rows for spreadsheets or QA notes.
Mock data cleanup
Convert object fixtures into table data for docs, demos, or imports.
Spreadsheet handoff
Prepare CSV output from structured JSON before sharing with non-developer teammates.
Developer debugging
Flatten and inspect object data in a table-friendly format.
Example
An array of user objects with name, role, and city fields becomes a CSV table with three columns.
Assumption
Each object is treated as one row and object keys become candidate headers.
Limitation
Highly nested arrays, mixed object shapes, and binary values may need custom export logic.
Using irregular JSON shapes
Mixed arrays, missing fields, and deeply nested records can create sparse CSV columns. Inspect the JSON shape first.
Forgetting delimiter requirements
Some spreadsheet or import tools expect semicolons, tabs, or pipes instead of commas. Match the destination before copying or downloading.
Ignoring parse hints
Trailing commas, comments, single quotes, and encoding replacement characters should be fixed before generating CSV.
How is JSON converted to CSV?
JSON parsing and CSV generation are designed to run in the browser based on the current public implementation. Avoid entering sensitive JSON unless you have reviewed the implementation.
Can I download the CSV?
Yes. You can copy CSV text or download a local CSV file after conversion succeeds.
Can it handle nested objects?
Yes. Enable flattening to turn nested keys into dot notation columns.
What if JSON is invalid?
The tool shows syntax-error context and common hints before it lets you copy or download CSV.
Suggested workflow
JSON export path
Move from structured JSON to spreadsheet-friendly CSV, then reverse or clean the data when needed.
Guides and examples