Convert CSV to JSON
Paste CSV, get JSON. The first row is read as field names and every row below it becomes an object. Quoted fields, commas inside values and newlines inside cells are all parsed properly.
How it parses your CSV
It follows RFC 4180, the convention Excel and Google Sheets both write. A field wrapped in double quotes may contain commas, newlines and doubled quotes, and all three survive the round trip — which is where naive split-on-comma converters fall over.
The first row is the header. Rows with fewer fields than the header are padded, rows with more are trimmed, and columns with a blank header name are dropped rather than producing an empty key.
What the output looks like
[
{
"name": "Ada Lovelace",
"role": "Engineer, Analytical"
},
{
"name": "Grace Hopper",
"role": "Admiral"
}
]If the CSV came from a Google Sheet
Skip the export step. Paste the sheet URL directly and get the JSON without downloading a file first — and if you need the data to stay current rather than being a one-time paste, give the sheet a live endpoint.
Frequently asked questions
Does it handle commas inside quoted fields?
Yes. A field wrapped in double quotes may contain commas, newlines and doubled double-quotes, all of which are parsed correctly per RFC 4180. This is exactly what a naive split-on-comma converter gets wrong, and it is the most common reason a CSV import produces garbage.
Is my data uploaded anywhere?
It is sent to the server to be parsed and converted, then returned to you. Nothing is stored, written to a database, logged or shared. If the data is sensitive enough that even that is a concern, do not paste it into any online converter, including this one.
What happens to rows with the wrong number of columns?
Short rows are padded with empty values and long rows are trimmed to the header width, so the output stays rectangular. Columns whose header cell is blank are dropped entirely rather than producing an empty key in every object.
Sources
Related tools
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