Free CSV ↔ JSON Converter Online: Bidirectional Data Transform
Convert spreadsheet data to JSON arrays and back. Full RFC 4180 support — quoted fields, escaped quotes, embedded newlines, custom delimiters — with optional automatic type inference. 100% client-side; your data never leaves the browser.
Two-Way Conversion
Switch direction with one click. CSV becomes a clean JSON array of objects; JSON arrays become RFC 4180-compliant CSV with proper escaping.
RFC 4180 Correctness
Quoted fields, escaped quotes ("" → "), embedded newlines, custom delimiters (comma, tab, semicolon, pipe). The hard edge cases other converters silently mangle — handled.
Smart Type Inference
Opt in to convert "123" → 123, "true" → true, and empty → null. Or keep everything as strings to preserve the source verbatim — your choice.
100% Client-Side
Parsing happens in your browser. CSV/JSON payloads — even gigabytes of analytics export — never touch our servers. Safe for HR data, financials, and PII.
The Pragmatic CSV ↔ JSON Converter for Real Data Pipelines
Anyone who has integrated more than one data source has, at some point, fought a CSV file. Excel exports use semicolons in Germany. Salesforce exports embed double quotes inside double quotes. SAP exports have multi-line cells. RFC 4180 exists to specify how all of this should work, but most online converters quietly ignore the spec and corrupt your data on the first non-trivial value.
Our Free Online CSV ↔ JSON Converter implements the RFC correctly, works in both directions, runs entirely client-side, and gives you the controls you actually need — delimiter selection, optional header row, smart type inference. Once you have valid JSON, validate or pretty-print it with our JSON Formatter, or shape it further with the Case Converter to normalize key names (camelCase ↔ snake_case).
CSV vs JSON: A Pragmatic Comparison
| Attribute | CSV (RFC 4180) | JSON (RFC 8259) |
|---|---|---|
| Structure | Flat: rows × columns | Hierarchical: objects + arrays |
| Native Types | String only | String, number, boolean, null, object, array |
| Best For | Spreadsheets, bulk export, BI tools | APIs, config, between services |
| Payload Density | High (no keys repeated) | Lower (keys repeated per object) |
| Schema Encoding | Header row only | Per-row keys |
The Edge Cases Most CSV Tools Get Wrong
Commas Inside Values
"Park, Min" is ONE value, not two. We respect the surrounding quotes; some converters split on every comma.
Escaped Double Quotes
"She said ""hi""" decodes to She said "hi". The doubled quote is RFC 4180's escape mechanism.
Newlines in Cells
A multi-line address inside a quoted cell is legal CSV and should remain intact in the JSON output.
European Semicolon Locales
In de-DE / fr-FR Excel exports, comma is the decimal separator and `;` is the field delimiter. We accept both natively.
A Trustworthy Data-Migration Workflow
Convert & Inspect
Paste the CSV here. Confirm row count and sampling — RFC 4180 quirks often surface in row totals.
Validate the JSON
Drop the output into our JSON Formatter to confirm structural validity and pretty-print.
Normalize Key Names
Use our Case Converter to align column names with your API contract (snake_case ↔ camelCase).
Diff Before You Ship
Compare your transformed output to a known-good fixture using the Diff Checker before deploying.