Free Online CSV to JSON Converter

Need to feed CSV into your API or front-end? CSV to JSON in one click — paste your rows, hit Convert and download a typed JSON array. Runs in your browser, nothing uploaded.

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What does a CSV to JSON converter do?

CSV is great for spreadsheets but awkward to consume from code: it has no types, no nesting, and quoting rules that catch out naive parsers. A CSV to JSON converter turns each row into an object using the header row as property names, so the data is ready to feed straight into an API, a NoSQL store, or a typed front-end.

JSON Pretty parses input per RFC 4180 — quoted commas, escaped quotes and embedded line breaks all survive — and infers obvious types (numbers, booleans, empty cells) so the JSON is closer to what your application actually expects. Once converted, drop the result into our JSON editor for a tree view with search and copy-by-path. New to JSON? Read the beginner's guide first.

Example

The same rows, before and after conversion:

CSV input
id,user,active
1,alice,true
2,bob,false
3,carol,true
JSON output
[
  { "id": 1, "user": "alice", "active": true },
  { "id": 2, "user": "bob",   "active": false },
  { "id": 3, "user": "carol", "active": true }
]

How to Use

Convert CSV to JSON in three simple steps — no account needed

1

Paste or upload your CSV

Paste CSV rows (header line first), or click "Upload file" to load a .csv from your device.

2

Click Convert to JSON

Press Convert. The header row becomes property names, each row becomes an object, and obvious types are inferred automatically.

3

Copy or download the JSON

Copy the JSON to the clipboard, or download a .json file ready for your API, database or front-end code.

Benefits of Converting CSV to JSON format

Why bother converting in the first place? A few reasons CSV to JSON is usually the right move.

Native for APIs and modern apps
JSON is the default payload format for REST and GraphQL endpoints. Once your data is JSON, it drops straight into fetch responses, request bodies and front-end state with zero glue code.
Real types, not strings
JSON preserves numbers, booleans and nulls. A row of CSV is all text until something parses it; the converted JSON encodes types directly, so downstream code does not have to guess.
Nested structures, not flat tables
CSV is locked to a single grid. JSON lets one record contain arrays or sub-objects, matching real-world shapes (orders with line items, users with multiple addresses) without inventing column conventions.
Document databases speak it natively
MongoDB, DynamoDB, Firestore and CouchDB store documents as JSON. Convert once and bulk-insert without an intermediate schema mapping step.
Validatable and self-describing
JSON Schema lets you assert shape and types automatically. Every key travels with its value, so a single record is meaningful on its own without consulting a header row.

Get JSON Pretty in your browser

Format any JSON response and explore it in a clean tree view — right where you open it, no copy-paste.

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Frequently asked questions

It reads CSV rows, treats the first line as the header, and emits a JSON array where every row becomes an object keyed by the headers. Cells are decoded according to RFC 4180 quoting rules, so commas, line breaks and quotes inside values survive intact.

Add a header line before pasting — even a placeholder like "a,b,c" will work and produces objects with those property names. Without headers, every row would have to be returned as an array, which is rarely what callers want.

Cells that look like numbers, booleans or empty values are coerced automatically: "42" becomes 42, "true" becomes true, and a blank cell becomes null. Cells that look like JSON objects or arrays are parsed back into real nested structures — so a round-trip through the matching JSON to CSV converter preserves the original shape. Everything else stays as a string. If you need a value to remain a string (zip codes, IDs with leading zeros), quote it in the CSV.

Yes. RFC 4180 quoting is fully supported: a cell wrapped in double quotes can contain commas, line breaks and escaped double quotes (""). The output JSON preserves the original text exactly.

Yes. The byte-order mark some editors prepend to CSV files is stripped automatically before parsing, so it never leaks into the first property name.

Comma is the default. If your file uses a different delimiter, find-and-replace it with a comma before pasting. A delimiter picker is on the roadmap.

Yes. Parsing happens entirely in your browser — nothing is sent to a server, nothing is stored.

Yes. The parser runs in the browser and processes multi-megabyte files comfortably on a modern device. For files in the hundreds of megabytes, a streaming command-line tool is a better fit.

A JSON array where each element is an object. Property names come from the header row, and values are typed when possible. The output is indented two spaces so it is human-readable.

Yes — use the matching JSON to CSV converter for the reverse direction.

Short rows leave the trailing properties undefined. Extra cells beyond the header are reported as a parse error so you can fix the input rather than silently dropping data.