JSON Tools

CSV to JSON

Convert CSV rows into a pretty-printed JSON array of objects — free, instant and private. Everything runs in your browser; nothing is uploaded.

 

100% in your browser — your data never leaves your device.

How to convert CSV to JSON

  1. Paste your CSV — with a header row on the first line — into the input box on the left.
  2. It is parsed instantly into a pretty-printed JSON array of objects in the output panel.
  3. Fields with commas, quotes, or line breaks are handled for you, so the values stay in the right columns.
  4. Click Copy for the clipboard, or Download JSON to save a .json file.

Importing spreadsheet exports into your code

Spreadsheets and databases love to export CSV, but code, APIs, and config files want JSON. Converting a CSV export into a JSON array of objects lets you drop a data extract straight into a script, seed a test fixture from a spreadsheet, or turn a colleague’s exported sheet into a request body an API will accept. The header row becomes the object keys, and every data row becomes one object, so each record is addressable by field name instead of by column position.

Delimiters, quotes, and how values are typed

This converter uses a real RFC 4180 parser rather than splitting on commas and newlines, which is what makes it safe on messy real-world data. Quoted fields may contain commas, line breaks, and escaped double quotes (written as ""), and both Windows (CRLF) and Unix (LF) line endings are accepted. Every value is emitted as a string, because CSV carries no type information — this keeps the conversion lossless, preserving leading zeros, identifiers, and anything that merely looks numeric. Rows shorter than the header are padded with empty strings, and a single trailing newline is ignored so you never get an empty final record.

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Frequently asked questions

Is my CSV uploaded to a server?
No. The CSV is parsed and turned into JSON entirely in your browser. Nothing is uploaded — your data never leaves your device.
How does it handle the header row?
The first line is treated as the header, and each of its values becomes a key in every output object. Each following line becomes one object mapping those keys to that row’s cells.
Are commas and quotes inside a field handled correctly?
Yes. The parser is a proper RFC 4180 state machine, not a naive split on commas. A field wrapped in double quotes can contain commas, and an escaped "" inside it is read as a single literal double quote, so values like "Smith, John" stay in one column.
Can a value contain a line break?
Yes. A newline inside a quoted field is kept as part of that value rather than starting a new row, so multi-line cells survive the conversion. Both \r\n and \n line endings between rows are accepted.
Are all values strings, or are numbers detected?
Every value is kept as a string. CSV has no type information, so the safest, lossless conversion is to leave cells exactly as written — including leading zeros and codes — rather than guessing which look like numbers or booleans.
What if a row has fewer or more fields than the header?
Short rows get empty strings for the missing trailing columns, and any extra fields beyond the header width are dropped since they have no key. A single trailing newline at the end of the file is ignored, so you never get a blank last object.
Can it handle large files?
Yes, within your device’s memory. Since nothing is uploaded, the only limit is what your browser can hold; very large files may take a moment to parse and pretty-print.