Convert CSV rows into JSON objects
CSV to JSON is useful when spreadsheet exports, analytics reports, or partner files need to become structured data for scripts, fixtures, API tests, or documentation examples. The first CSV row becomes the set of JSON keys, and each following row becomes one object.
Values stay as strings on purpose. That avoids surprising changes to ZIP codes, IDs, account numbers, percentages, and other values that may look numeric but should remain exactly as written.
CSV details that affect JSON output
- The header row controls object key names, so trim or rename columns before using the JSON in code.
- Quoted cells can contain commas; broken quotes are reported as parser errors.
- Empty cells become empty strings, not
null. - Rows with no values are skipped.
CSV to JSON FAQ
Why are all JSON values strings?
CSV has no native type system. Keeping values as strings preserves leading zeroes, IDs, percentages, and codes without guessing.
What happens to empty CSV cells?
Empty cells become empty strings in the JSON object. Convert them to null later if your application needs null values.
What kind of CSV errors are reported?
The converter reports parser problems such as broken quotes or malformed rows when the parser can identify them.