JSON to CSV

How to use the JSON to CSV Converter

1. •Paste your JSON data into the input editor on the left side. The tool accepts both arrays of objects and single objects.
2. •Review the validation status. If your JSON has syntax errors, the tool will display an error message indicating the line and position of the problem.
3. •Check the output in the right panel, where the CSV is generated automatically as you type or paste.
4. •Copy or download the result. Click the copy button to place the CSV on your clipboard, or download it as a .csv file.

What is JSON to CSV conversion?

JSON (JavaScript Object Notation) is a hierarchical, nested data format widely used in APIs and web applications. CSV (Comma-Separated Values) is a flat, tabular format used in spreadsheets, databases, and data analysis tools. Converting between the two is one of the most common data transformation tasks in software development.

The conversion process takes each object in a JSON array and maps its keys to column headers. The values become the row data under each column. For example, [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}] becomes a CSV with columns "name" and "age" and two data rows.

Nested objects and arrays present a challenge because CSV is inherently flat. Common strategies include dot-notation flattening (e.g., address.city becomes a column header), JSON-stringifying nested values, or ignoring them entirely. This tool uses a flattening approach so you get usable tabular data from nested structures.

One important consideration is data types. CSV has no type system: everything is a string. Numbers, booleans, and null values in JSON all become text in CSV. If you are importing the CSV into a typed system like a database, you may need to specify column types during import.

Common use cases

• •Exporting API data to Excel: When you receive JSON from a REST API and need to analyze it in a spreadsheet, CSV is the bridge format. Most spreadsheet applications open CSV files natively.
• •Database migrations: Moving data from a NoSQL database (like MongoDB, which stores documents as JSON) to a relational database often requires converting to CSV as an intermediate step for bulk import.
• •Reporting and business intelligence: Non-technical stakeholders often need data in spreadsheet format. Converting JSON API responses to CSV makes the data accessible to anyone with Excel or Google Sheets.
• •Data pipeline preprocessing: ETL (Extract, Transform, Load) pipelines frequently convert JSON to CSV for compatibility with legacy systems or tools that expect tabular input.

FAQ

What happens with nested JSON objects? Nested objects are flattened using dot notation. For example, {"user": {"name": "Alice"}} produces a column header user.name with value Alice. Deeply nested structures are handled recursively.

Can I convert a single JSON object (not an array)? Yes. A single object is treated as an array with one element, producing a CSV with one header row and one data row.

What about JSON arrays with inconsistent keys? The tool collects all unique keys from all objects in the array and uses them as column headers. Objects missing a particular key will have an empty value for that column.

Is my data safe?

Yes. This tool runs entirely in your browser. Your data is never sent to our servers. The JSON-to-CSV conversion is performed using JavaScript in your local browser session, so your data stays on your device.