How are quoted fields handled?

As RFC 4180 describes: a field in double quotes can contain commas and line breaks, and a double quote inside it is written as two double quotes (""). Papa Parse, the parser used here, follows those rules.

Does it work with semicolon or tab separated files?

Yes. The delimiter is detected automatically, so files exported with semicolons (common in European spreadsheet settings) or tabs convert too.

Is my code or data uploaded anywhere?

No. Every tool runs in your browser, so your code, tokens, keys and files are processed on your device and are not sent to our server or stored. Reloading or closing the page clears them.

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Does it work on my phone?

Yes. The tools work in any modern browser on phones, tablets and computers, though large files and long code are easier to handle on a computer.

CSV to JSON Converter

Convert CSV rows into a JSON array of objects.

100% Free
No Sign Up
Works in Your Browser

CSV to JSON

Turn CSV rows into JSON

Delimiter

First row is the headerNumbers and true/false as valuesNest dot paths (a.b → {a:{b}})Minify

CSV input

JSON output

[
  {
    "id": 1,
    "name": "Ada Lovelace",
    "email": "ada@example.com",
    "role": {
      "title": "Engineer",
      "level": 3
    },
    "active": true
  },
  {
    "id": 2,
    "name": "Alan Turing",
    "email": "alan@example.com",
    "role": {
      "title": "Researcher",
      "level": 4
    },
    "active": true
  },
  {
    "id": 3,
    "name": "Grace Hopper",
    "email": "grace@example.com",
    "role": {
      "title": "Admiral",
      "level": 5
    },
    "active": false
  },
  {
    "id": 4,
    "name": "Hamilton, Margaret",
    "email": "margaret@example.com",
    "role": {
      "title": "Director",
      "level": 5
    },
    "active": true
  }
]

4 rows · comma-separated

Preview (4 rows)

id	name	email	role.title	role.level	active
1	Ada Lovelace	ada@example.com	Engineer	3	true
2	Alan Turing	alan@example.com	Researcher	4	true
3	Grace Hopper	grace@example.com	Admiral	5	false
4	Hamilton, Margaret	margaret@example.com	Director	5	true

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How to use the CSV to JSON

Three steps, all in your browser.

1
Paste your input
Type or paste your code or data. Press Sample to try an example.
2
Check the options
Adjust the options if you need to. The conversion updates instantly.
3
Copy the result
Copy the output in one click. Nothing is saved or sent anywhere.

CSV to JSON Converter: what to know

CSV to JSON converts comma-separated rows into a JSON array of objects, using the header row for the keys. It's built on Papa Parse, a well-tested open-source CSV parser, so quoted fields that contain commas, line breaks or escaped quotes are read correctly rather than split in the wrong place.

The delimiter is detected automatically, so files that use semicolons, common in spreadsheets set to European number formats, or tabs convert without extra steps. Blank lines are skipped.

CSV has no types: every value is text. An option turns plain numbers, true, false and null into real JSON types, but only when nothing is lost, so ZIP codes such as 02134 and IDs too long for a JavaScript number stay strings. Headers written as dot paths (address.city) can be rebuilt into nested objects.

Popular uses

Turning a spreadsheet export into test fixtures or seed data
Preparing CSV data for an API or a JavaScript app
Converting reports for use in scripts
Checking how a tricky CSV file is actually parsed

Tips for the best result

Make sure the first row holds the column names; they become the JSON keys.
Duplicate or empty header names make confusing keys; rename them first.
Excel may save CSV in a legacy encoding; save as 'CSV UTF-8' to keep accented letters correct.

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How to use the CSV to JSON

Paste your input

Check the options

Copy the result