Converting CSV to JSON turns a spreadsheet-style table into structured data your code can use: each row becomes an object, with the header row supplying the keys. To convert CSV to JSON, paste your CSV into a converter, confirm the delimiter, and copy the JSON. Here is how it works and what to watch for with quoted values.
Export from a spreadsheet or database and paste the CSV text.
Pick the delimiter, say whether the first row is a header, and choose type inference.
Each row becomes a JSON object keyed by the header (or an array if there is no header).
Copy the JSON or save it as a .json file.
How are quoted fields handled?
A value that contains the delimiter, a quote or a newline is wrapped in double quotes in CSV, with inner quotes doubled. A correct parser respects this, so "likes, commas" stays a single field. The CSV to JSON tool follows the CSV standard, so messy exports parse cleanly.
Type inference
CSV is all text, but JSON has numbers and booleans. With type inference on, values like 42, 3.14 and true become real JSON numbers and booleans instead of strings — handy for APIs and databases. Going the other way? Use JSON to CSV or JSON to SQL.
Tip: If numeric IDs lose leading zeros after conversion, turn off type inference for that data — those are really strings, not numbers.
Convert CSV to JSON now
Paste CSV and get a clean JSON array — free, in your browser.
Open the CSV to JSON tool →Frequently Asked Questions
How do I convert CSV to JSON?
Paste the CSV into a converter, set the delimiter and header option, and it outputs a JSON array of objects.
Does it handle commas inside quoted values?
Yes — quoted fields containing commas, quotes or newlines parse correctly per the CSV standard.
Is my data uploaded?
No — conversion runs in your browser.