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CSV to JSON Converter

Upload or paste CSV data and get a JSON array of objects with typed headers. Handles quoted fields, custom delimiters, and large files in the browser.

JSON output
Pretty JSON appears here

What is a CSV to JSON converter?

A CSV to JSON converter reads comma-separated values — the format Excel, Google Sheets, and most databases export by default — and produces a JSON array of objects. Each row becomes one object; each column header becomes a key. The result is structured data ready for JavaScript applications, REST APIs, NoSQL imports, or further transformation.

CSV is excellent for human editing in spreadsheets but awkward for programmatic use. JSON arrays of objects are the standard interchange format for web APIs and modern data pipelines. This tool closes that gap: paste a CSV export, get pretty-printed JSON with syntax highlighting, and copy it into your codebase or API client.

How to use the CSV to JSON converter

  1. Paste CSV into the left panel, including the header row. Click Load sample for an example.
  2. Click Convert to JSON. A formatted JSON array appears in the right panel with syntax highlighting.
  3. Copy the JSON using the copy button above the output panel.
  4. Review parse errors if the CSV is malformed. The error message describes what the parser could not read.

Example

CSV input:

name,role,active
Ada Lovelace,engineer,true
Grace Hopper,admiral,true

JSON output:

[
  {
    "name": "Ada Lovelace",
    "role": "engineer",
    "active": true
  },
  {
    "name": "Grace Hopper",
    "role": "admiral",
    "active": true
  }
]

Headers map to keys, rows map to array elements, and numeric and boolean values are typed automatically.

CSV parsing details

The parser skips empty lines, treats the first row as headers, and handles quoted fields that contain commas or line breaks. Values that look like numbers are parsed as numbers; true and false become booleans. Everything else remains a string.

CSV has no standard way to represent nested structures. If your data needs hierarchy — objects inside objects — JSON is the better storage format from the start. For flat tabular data exported from a spreadsheet, CSV to JSON conversion is straightforward and lossless for scalar columns.

Related tools

Frequently asked questions

Does the CSV need a header row?
Yes. The first row is treated as column names and becomes the keys in each JSON object. Subsequent rows become objects with those keys mapped to cell values.
How are data types handled?
The parser applies dynamic typing: numeric values become numbers, true/false become booleans, and empty cells become empty strings. If you need all values as strings, convert the output manually or preprocess the CSV.
Can the converter handle quoted fields with commas?
Yes. Standard CSV quoting rules are supported. Fields enclosed in double quotes can contain commas, and embedded quotes are escaped by doubling them.
What is the JSON output format?
The output is a JSON array of objects, pretty-printed with 2-space indentation and syntax highlighting. Each object represents one CSV row with keys from the header.
Is my CSV uploaded to a server?
No. Parsing and conversion run entirely in your browser. Spreadsheet exports containing personal or business data never leave your device.
How do I convert JSON back to CSV?
Use the JSON to CSV Converter. Provide a JSON array of flat objects and get CSV with auto-generated headers.

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