402utils CSV to JSON Converter is a paid API for AI agents from 402utils.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-09).
Converts CSV text to JSON using a strict RFC 4180 parser with auto-delimiter detection, header mapping, and error repair for malformed input
Convert CSV to JSON with a strict RFC 4180 parser: quoted fields, doubled quotes, delimiters and line breaks inside quotes, mixed CRLF/LF, BOM. Auto-detects comma, semicolon, tab or pipe (or set delimiter). First row becomes object keys; headers:false yields string arrays. Ragged rows and unterminated quotes are repaired and reported in errors[], never a crash. All values stay strings. Send raw CSV text or JSON {csv}. Max 5 MB.
Returns a JSON array of objects (when headers:true) where each row becomes a key-value object with header names as keys, or an array of string arrays (when headers:false). Also returns a null or populated errors[] array describing any repaired issues like ragged rows or unterminated quotes. All values are strings.
POSThttps://402utils.com/v1/csv-to-json?utm_source=zero.xyzUse this endpoint when you need robust RFC 4180-compliant CSV parsing with auto-delimiter detection (comma, semicolon, tab, pipe), proper handling of quoted fields containing commas or line breaks, BOM stripping, and graceful repair of malformed rows. Prefer this over generic CSV parsers when data quality is uncertain and you need error reporting without crashes.
| Field | Type | Description |
|---|---|---|
| csv | string | CSV text, max 5 MB UTF-8. A leading BOM is stripped; CRLF and LF row endings may be mixed. |
| headers | boolean | true (default): the first record is the header row and rows are objects — duplicate header names get _2/_3 suffixes, empty names become col_<n>. false: rows are string arrays and headers is null. |
| delimiter | string | Field delimiter. Omit to auto-detect from the first 20 records (quote-aware field-count consistency; ties prefer comma). |
{
"type": "json",
"example": {
"rows": [
{
"city": "Paris",
"name": "Dupont, Jean",
"signup": "2026-05-01"
},
{
"city": "Berlin",
"name": "Müller, Anna",
"signup": "2026-06-12"
}
],
"errors": [],
"headers": [
"name",
"city",
"signup"
],
"rowCount": 2,
"delimiter": ";"
}
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