CSV to JSON Converter
Convert CSV data to JSON array instantly.
CSV vs JSON — when to use each
CSV (Comma-Separated Values) is ideal for tabular data in spreadsheets, database exports, and data science pipelines. It is compact and human-readable for flat data. JSON (JavaScript Object Notation) is preferred for APIs, web apps, and data with nested structures. Converting from CSV to JSON is a common step when importing spreadsheet data into a JavaScript or Node.js application.
What the output looks like
Given this CSV:
name,age,city Alice,30,Mumbai Bob,25,Delhi
The JSON output will be:
[
{ "name": "Alice", "age": "30", "city": "Mumbai" },
{ "name": "Bob", "age": "25", "city": "Delhi" }
]Note: all values are strings in the output. If you need numeric types, apply JSON.parse with a reviver or use a library like Zod for type coercion.
Also see
Need the reverse operation? JSON to CSV Converter converts a JSON array back into a downloadable CSV file.
Frequently asked questions
- How does CSV to JSON conversion work?
- Each CSV row becomes a JSON object. The first row (if 'first row is header' is enabled) becomes the keys for each object. Subsequent rows provide the values. The result is a JSON array of objects, which is the most common format for APIs, databases, and JavaScript applications.
- How are quoted fields with commas handled?
- RFC 4180-compliant CSV wraps fields that contain the delimiter character in double quotes. For example: Alice,"New York, NY",30 — the city field contains a comma but is quoted. This converter correctly handles quoted fields, including escaped quotes (two double-quotes inside a quoted field represent a single quote).
- What delimiters are supported?
- This converter supports the four most common delimiters: comma (,) for standard CSV, tab (\t) for TSV files exported from Excel or Google Sheets, semicolon (;) common in European locale exports, and pipe (|) used in some data interchange formats.
- What if my CSV has no header row?
- Uncheck 'First row is header'. The converter will auto-generate column names as column_1, column_2, column_3, etc. You can then rename these in your code or data processing pipeline.
- Is my data uploaded to a server?
- No. This converter runs entirely in your browser. Your CSV data is processed locally using JavaScript and never sent to any server. This makes it safe for sensitive or confidential data.
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