CSV to JSON Converter
Paste CSV or upload a .csv file. The first row is used as headers. Quoted commas, escaped quotes and multiline fields are supported.
How to convert CSV to JSON
Paste CSV text into the input area or choose a CSV file. The converter reads the first row as field names and turns each following row into a JSON object. Select Convert / Process, review the JSON output, and download the result as a .json file.
Example CSV input
name,city,age\nAyesha,Lahore,28\nBilal,Karachi,32CSV formatting supported
The parser supports quoted fields, commas inside quoted values, escaped double quotes and line breaks inside quoted fields. Empty header cells are assigned a generic column name. Values are returned as strings, so convert numeric or date fields in your application when you need typed values.
Frequently asked questions
Does the first CSV row become JSON keys?
Yes. The first row is used as the property names for each JSON object.
Are numbers automatically converted to numbers?
No. CSV values are returned as strings to avoid changing the original text.
Can fields contain commas?
Yes. Put fields containing commas inside double quotes, following standard CSV quoting rules.
Related Free JSON and Data Conversion Tools
Explore these related browser-based utilities to prepare, check, and convert structured data for your workflow.
CSV headers, quoted values and JSON output
The first row of a typical CSV file contains the column names. The converter uses those headings as JSON object keys and maps the values from each following row to the matching key. This is a practical way to turn spreadsheet exports into data that an application or API workflow can consume.
CSV fields may contain commas, quotation marks or line breaks when they are correctly enclosed in double quotes. A quotation mark inside a quoted field is represented by two quotation marks. Check that your source file follows these conventions if a row appears to split into the wrong number of columns.
CSV does not define data types as strictly as JSON. Treat converted values as text unless you review and deliberately transform numbers, dates, booleans or empty cells for your target application.