CSV to JSON Converter

Convert CSV text to a JSON array with automatic header detection

What is it and how does it work?

A CSV to JSON converter turns a comma-separated table into a JSON array of objects — the reverse of exporting JSON to a spreadsheet. CSV is the universal flat format that spreadsheets and exports produce: rows of values with a header line naming the columns. JSON is what APIs, JavaScript and most modern tools expect. Converting bridges the two, so a file someone handed you from Excel becomes structured data your code can loop over, with each row becoming an object keyed by the column headers.

The conversion reads the first row as the field names, then turns every subsequent row into an object pairing each header with its cell value. The parts that quietly break naive conversions are the ones it handles for you: values containing commas, quotes or line breaks are wrapped in quotes in CSV and must be unwrapped correctly, and different files use different delimiters — comma, semicolon, tab or pipe. This tool detects the header and handles those quoting rules in your browser, so even confidential spreadsheets never leave your device.

Common use cases

• Importing spreadsheet data into code: convert an exported CSV into a JSON array your application can read directly.
• Feeding an API: transform a CSV of records into JSON to send to an endpoint that expects a JSON body.
• Inspecting messy data: convert a CSV to JSON to see the records as structured objects and spot rows with missing or extra fields.

Frequently asked questions

How does it know the column names?

It reads the first row of the CSV as the header, using those values as the keys for every object it creates. Each following row becomes an object pairing each header with the value in that column, so the structure mirrors your spreadsheet.

What if my data contains commas inside a value?

In CSV, a value containing a comma is wrapped in double quotes so the comma is not mistaken for a delimiter. The converter follows these standard quoting rules, unwrapping such values correctly so "Smith, John" stays a single field rather than splitting into two.

Does it support semicolons or tabs instead of commas?

Yes. Many exports — especially from European locales — use semicolons, and others use tabs or pipes. A robust CSV parser detects or lets you choose the delimiter, so the columns line up correctly regardless of which separator the file uses.

How are numbers and booleans handled?

CSV stores everything as text, so values like 42 or true arrive as strings. Depending on the conversion they may stay as strings or be coerced to numbers and booleans. If your code needs real types, check whether the output is typed and convert any fields that must be numeric.

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