CSV to JSON
Convert CSV data into structured JSON in your browser, turning rows and columns into an array of objects keyed by your header row. It is the fast bridge between a spreadsheet export and code that expects JSON.
How the conversion maps your data
CSV is a flat grid: the first row is usually headers, and each following row is a record. JSON is hierarchical: typically an array where each item is an object whose keys come from those headers. The tool reads your header row, then builds one object per data row, pairing each value with its column name. That structure is what most APIs and JavaScript code expect.
The fiddly parts of CSV are quoting and separators. A field containing a comma must be quoted, and quotes inside a field are escaped. A good parser respects those rules so a value like "Smith, John" stays in one field instead of splitting in two.
Getting a clean result
Most conversion problems trace back to the source CSV.
- Make sure the first row is real headers, not data, or your keys will be wrong.
- Watch for fields with embedded commas or line breaks - they must be properly quoted in the CSV.
- Decide whether numbers should stay strings or be converted; mixing types can surprise downstream code.
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FAQs
Does my CSV get uploaded anywhere?▼
No. Parsing happens in your browser, so the data stays local. This makes it safe for exports that contain personal or business information.
What happens to the header row?▼
The header row becomes the keys of each JSON object. If your file has no headers, the columns cannot be named meaningfully, so add a header row first or expect generic keys.
How are commas inside a field handled?▼
Fields that contain a comma must be wrapped in double quotes in the CSV, like "Smith, John". A correct parser keeps that as one value. If your source is not quoted properly, those fields will split incorrectly.
Will numbers become JSON numbers or strings?▼
It depends on the tool's setting. CSV has no types, so values may stay as strings unless converted. If your code needs real numbers, confirm the output types or cast them after conversion.
What about empty cells?▼
Empty cells typically become empty strings in the JSON. If you need them as null instead, you may have to transform the output, since CSV cannot distinguish empty from null on its own.
Can it handle a different delimiter, like a semicolon or tab?▼
Many regional exports use semicolons or tabs instead of commas. If your data looks wrong, check the delimiter - you may need to set it or replace it before converting.
How are line breaks inside a field treated?▼
A newline inside a quoted field is part of the value, not a new row. Proper CSV quoting preserves it; unquoted line breaks will be read as the start of a new record.
Does the column order matter in the JSON?▼
JSON object keys are not guaranteed to be ordered for consumers, though the tool keeps them in header order. If order matters to you, do not rely on it in JSON - use an array instead.
What if two columns have the same header?▼
Duplicate keys are a problem because an object cannot have two identical keys; one will overwrite the other. Rename duplicate headers in the source before converting.
How big a file can it convert?▼
It handles typical spreadsheet exports comfortably. Very large files (hundreds of thousands of rows) may strain the browser since everything is processed in memory; for those, a server-side or streaming converter is better.
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