ConverterCSV To JSON
Parse one declared CSV dialect into an array of objects. The first row supplies unique keys and every data field remains a string, including IDs and date-like text.
Parse CSV With An Explicit Delimiter
Enter input to begin.
Parser Policy
| Feature | Policy |
|---|---|
| Header row | Required; keys must be non-blank and unique |
| Field types | Strings by default |
| Quoted delimiter or newline | Supported with double-quote escaping |
| Ragged rows | Rejected |
| Entirely blank rows | Ignored |
| Leading BOM | Ignored with a notice |
Why Strings Are The Default
CSV has no universal type system. Converting 001 to the number 1 or a date-like field into a timestamp would make an assumption that can destroy identifiers and source spelling.
Apply type conversion later with a schema that belongs to the destination workflow.
Import Checks
- Confirm the delimiter and header row before converting.
- Inspect quoted commas, line breaks, and final empty fields.
- Resolve duplicate or blank headers rather than allowing values to overwrite each other.
Questions About This Tool
CSV fields are text under this profile. String defaults protect identifiers, leading zeroes, and date-like values from silent inference.
The conversion stops with an error so an earlier field is never silently overwritten.
Yes. A newline inside a properly quoted field remains part of that field.