JSON ↔ CSV Converter

Bidirectional conversion between JSON arrays and CSV format, locally in your browser.

Local processing: your data never leaves this device

JSON Input

CSV Output

Why convert between JSON and CSV without a network?

Machine learning formats will require CSV, and web architectures will request JSON. Crossing this line must be instantaneous to easily analyze clean data.

Secure data transition

These files abound in customer emails and PII. All calculations are performed in Javascript on the client assuming zero-risk of interceptions or theft of ETL logs.

What this tool does

JSON is easy for apps but not always convenient for spreadsheets, reporting or quick inspection. This page helps you transform structured data into CSV without sending records to an external converter.

Converts JSON arrays of objects into CSV format so the data can be opened in spreadsheet tools or imported into databases.
Handles CSV-to-JSON conversion in the opposite direction, turning delimited data back into structured JSON for use in code.
Detects column names from the JSON keys automatically so basic conversion requires no configuration.

How to use it

1
Paste the JSON array you want to convert or upload a CSV file if you are converting in the other direction.
2
Select the direction: JSON to CSV or CSV to JSON.
3
Review the output to confirm column names and values look correct.
4
Copy or download the result and use it in your spreadsheet, database import or code.

Example

A developer exports a list of user records from an internal API as a JSON array and converts it to CSV so a non-technical colleague can review it in a spreadsheet.

[{"id":1,"name":"Alice","role":"admin"},{"id":2,"name":"Bob","role":"viewer"}]

id,name,role
1,Alice,admin
2,Bob,viewer

Use cases

Turning API responses into spreadsheet-friendly exports.
Preparing sample datasets for QA, support or internal reporting.
Reviewing arrays of objects outside the code editor.

Common mistakes

Trying to convert nested JSON directly

CSV is a flat format. Nested objects and arrays in JSON cannot be represented directly in CSV rows without flattening or choosing a specific serialisation strategy.

Assuming all rows have the same keys

If different objects in the JSON array have different keys, some columns may appear empty for certain rows.

Forgetting to check for commas inside values

CSV values that contain commas need to be quoted. If the output looks misaligned in a spreadsheet, check for unescaped commas in the original data.

FAQ

Can I convert deeply nested JSON to CSV?

Nested structures require flattening first. This tool works best with flat arrays of uniform objects.

What happens if different objects have different keys?

The converter uses all discovered keys as columns. Objects missing a key will produce an empty cell for that column.

Does this tool upload my data?

No. Conversion runs locally in the browser.

Can I open the CSV directly in Excel or Google Sheets?

Yes. Download the CSV file and open it in any spreadsheet application.

How do I convert CSV back to JSON?

Use the CSV to JSON direction in the same tool. The first row is treated as the header and each subsequent row becomes a JSON object.

Privacy and security

Conversion runs locally in the browser.
No dataset is uploaded to a remote conversion service.
That is helpful when JSON contains internal operational or customer-related fields.

Related tools

Related tools for the next step in the same workflow:

JSON Formatter & Validator CSV Validator Data Format Converter

Next step

Convert the data locally, then validate the CSV or return to JSON tooling if the export needs cleanup.