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JSON to CSV

Convert JSON to CSV Free

Convert a JSON array into clean CSV columns in your browser, preview the output, and download it without uploading data or creating an account.

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PRIVATE WORKSPACE

JSON to CSV

Move API data into a spreadsheet-friendly format.

Options

The recommended settings are applied automatically.

HOW TO

How to use JSON to CSV

Move API data into a spreadsheet-friendly format.

  1. 1

    Choose a JSON file containing an array of consistently shaped objects.

  2. 2

    Process it and inspect the header row and escaped cell values.

  3. 3

    Copy or download the CSV, then review its columns in your spreadsheet or import system.

INPUT AND OUTPUT

Start with tabular JSON rather than an arbitrary object

An array such as [{"code":"001","name":"Tea"}] describes a row with code and name columns. Consistent object keys make the CSV easier to import and review.

A single top-level object is rejected. This is not a recursive JSON flattener: prepare nested structures as explicit columns before conversion. Spreadsheet software may interpret cell values as formulas or dates, so review untrusted data before opening it.

CONTINUE WITH

Related free tools

CSV to JSONPrepare tabular data for APIs, applications, and automation.CSV CleanerPrepare data before importing it into a CRM, database, or dashboard.Merge CSVCombine daily, branch, or system exports for further analysis.Split CSVFit large exports within another system's import limits.CSV to XLSXMake tabular data easier to open and share in Excel.XLSX to CSVPrepare Excel data for databases and automation systems.

FAQ

Common questions

Are my files uploaded?+

No. This tool processes files in browser memory on your device.

Is the tool free?+

Yes. Core processing is free, requires no account, and adds no watermark.

Why is a single JSON object rejected?+

The converter expects a top-level array. For one record, put the object inside an array, for example [{"code":"001"}].

Will nested JSON automatically become separate CSV columns?+

Do not rely on recursive flattening. Prepare a flat, consistently shaped array of records when you need predictable spreadsheet columns.