How to use CSV to JSON
CSV looks simple until fields contain commas, quotes or line breaks. XXF uses a CSV parser with header detection and quoted-field support, then returns one JSON object per data row.
CSV has no universal type metadata, so imported cell values remain strings unless your application applies an explicit schema afterward. Empty rows are skipped while empty cells are preserved.
A reliable workflow
- Paste UTF-8 CSV with a header row
- Convert and inspect parser errors, row count and property names
- Apply application-specific number, date and boolean parsing after export
Worked example
Convert the included CSV with a header and two data rows
name,role,active
Ada,Engineer,true
Lin,Designer,falseEach row becomes an object keyed by the header names. The active cells remain strings until an application-specific schema converts them to booleans
When this tool helps
- Prepare spreadsheet exports for an API
- Inspect quoted multiline fields
- Create JSON fixtures from a small tabular dataset
Accuracy and safety notes
- Duplicate or blank headers can produce ambiguous objects
- Do not assume values such as 00123, true or dates have the intended type without a schema
Frequently asked questions
Does XXF upload or store my data?+
No. The conversion runs locally in your browser. Your input is not sent to XXF, stored on a server or used for training.
Are quoted commas supported?+
Yes. Standards-compliant quoted values, escaped quotes and multiline fields are handled by the CSV parser.