Turn CSV data into a clean JSON array, right in your browser.
CSV is the plain-text table format that spreadsheets and databases export, just rows of values separated by commas. It is great for humans and Excel but awkward for code, which usually wants JSON, where each row becomes an object with named fields. This tool reads your CSV and turns it into a clean JSON array, using the header row as the keys, so a spreadsheet becomes something a program can loop over directly.
Paste your CSV text or load your file and the tool parses it, treating the first line as the column names and every line after it as a record. The output is a JSON array of objects, one object per row, with each value tucked under its column's key. You can then copy the result or save it, ready to feed into an API, a script, or a config that expects structured data.
A few CSV quirks are handled so your data survives the trip. Values that themselves contain commas are wrapped in quotes in proper CSV, and the parser respects that rather than splitting them wrongly, and quoted fields that span the usual escaping rules are kept intact. Everything comes across as text by default, which is the safe assumption, since a parser cannot always know whether a column of digits is a number, a zip code, or an ID that must keep its leading zeros.
Choose this over writing a quick parsing script when you just need the conversion done and do not want to worry about edge cases like quoted commas yourself. It is also better than pasting into a spreadsheet and hand-building JSON, which is slow and mistake-prone for anything past a few rows.
It is useful for turning an exported contact or product list into JSON for an app, converting analytics or survey data into a form a chart library can read, seeding a database or test fixture from a spreadsheet, and moving data out of a no-code tool that only exports CSV and into one that speaks JSON. Data wrangling like this is a daily reality for a lot of people.
The conversion runs entirely in your browser, so your rows are never uploaded, there is no account to create, and it costs nothing. Because the work happens on your own device, the practical limit is its memory, which comfortably handles the thousands-of-rows exports most people deal with.
Yes, the first line is read as the column names that become the keys in each JSON object. If your file has no header, add one first, otherwise your real first row of data would be consumed as field names.
As long as that value is wrapped in double quotes, which is the proper CSV convention, the parser keeps it together instead of splitting it into two fields. Unquoted commas inside a value will be misread, so make sure your source follows the quoting rule.
Values are generally kept as strings by default, which protects things like ID codes and leading-zero postal codes from being altered. If you need genuine numeric types you may have to convert specific fields afterward.
Some regions export CSV using semicolons, and tab-separated files are common too. If your delimiter is not a comma the columns may not split correctly, so check the output and adjust your source's delimiter if needed.
A blank field typically becomes an empty string in the JSON so the key still exists on every object. That keeps the shape of your records consistent, which most code prefers over missing keys.
There is no hard cap, but everything is processed in your browser, so very large files lean on your device's memory. Exports of a few thousand rows convert quickly, while enormous files may slow down.
Polished Pixels. All tools. About. Contact. Every tool runs in your browser and your files are never uploaded.