CSV to JSON
Convert CSV data to JSON format.
How to use the CSV to JSON Converter
CSV (Comma-Separated Values) is a tabular data format widely used for spreadsheets and data exports. This tool converts CSV to JSON so you can use the data in JavaScript, APIs, or NoSQL databases.
- 1
Paste CSV data
Paste a CSV table into the input textarea. The first row must be the header row — its values become the JSON object keys. You can export CSV from Excel, Google Sheets, or any database tool.
- 2
Click "Convert to JSON"
The tool parses each row into a JSON object using the headers as property names and outputs a JSON array. Each CSV row becomes one object in the array.
- 3
Copy the output
Click "Copy Output" to copy the formatted JSON array to your clipboard, ready to paste into your code, API request, or database import tool.
Frequently asked questions
What is CSV?
CSV stands for Comma-Separated Values. It is a plain text format for tabular data where each line is a row and columns are separated by commas. It is widely exported by Excel, Google Sheets, and relational databases.
Why convert CSV to JSON?
JSON is the native data format for JavaScript and most REST APIs. Converting CSV lets you use spreadsheet data directly in web applications, Node.js scripts, or document databases like MongoDB and Firestore.
How do headers map to JSON keys?
The first row of your CSV becomes the property names for each JSON object. For example, a header row name,age,city produces objects like {"name":"Alice","age":"30","city":"London"}.
What happens if a field value contains a comma?
Simple CSV parsers split on every comma, which can break fields that themselves contain commas. Wrap those fields in double quotes in the CSV — most spreadsheet exports do this automatically. For complex CSV, use a full-featured parser library.
Can this tool produce nested JSON from CSV?
No — CSV is inherently flat. Each column maps to a top-level key. For nested structures you would need a multi-step transformation in your own code after the initial conversion.
Will it work with very large files?
This tool runs entirely in your browser and processes data in-memory. Very large CSV files (millions of rows) may slow down or exceed browser memory limits. For large datasets, use a command-line tool like csvtojson or jq.