CSV to JSON Converter
Convert CSV to JSON in your browser. Handles headers and quoted fields. Nothing uploaded.
Built with PapaParse (MIT), self-hosted.
How to use this tool
- Paste CSV.
- Toggle whether the first row is a header.
- Convert and download JSON.
Convert CSV to JSON in your browser. Handles headers and quoted fields. Nothing uploaded.
How it works
This tool converts CSV (Comma-Separated Values) data into a JSON array of objects, entirely inside your browser. Each row in the CSV becomes one JSON object, and each column header becomes a key. No data ever leaves your device.
Paste your CSV text into the input area or upload a file. The first row is treated as the header row, so each subsequent row maps its values to those column names. Quoted fields and fields containing commas are handled correctly according to the CSV standard.
Use this tool whenever an API, database, or JavaScript application expects JSON but your data source exports CSV — a common scenario when pulling reports from spreadsheet software like Excel or Google Sheets.
The output can be copied to the clipboard or downloaded as a .json file. For large files, processing happens in milliseconds since everything runs locally.
Worked example
Convert a product export from a spreadsheet to JSON
- Export your spreadsheet as CSV (File > Download > CSV in Google Sheets).
- Open the CSV to JSON tool and paste the file contents into the input box.
- Verify the detected headers match your column names.
- Click Convert and review the JSON array preview.
- Click Download or Copy to use the output in your project.
A JSON array where each element is an object like {"name": "Widget A", "price": "9.99", "stock": "42"}.
Common mistakes to avoid
- Forgetting to include a header row — without one, the tool cannot name the JSON keys.
- Using semicolons as delimiters (common in European locales) when the tool expects commas; change the delimiter setting if available.
- Pasting data with inconsistent column counts per row, which produces objects with missing or extra keys.
Key terms
- CSV
- Comma-Separated Values — a plain-text format where each line is a row and values are separated by commas.
- JSON array of objects
- A JSON structure starting with [ that contains one or more {key: value} objects, one per CSV row.
- Header row
- The first row of a CSV that names each column; these become the keys in the resulting JSON objects.
Frequently asked questions
- Are quoted commas handled?
- Yes — PapaParse handles quoted fields and escapes correctly.