CSV to JSON Converter
Drop a CSV, get a JSON array of objects — types auto-detected, ready to POST to any API, load into a test fixture, or pipe through jq.
Drop your CSV file here
Converts to .json — stays on your device
Why convert CSV to JSON?
- Turning a Google Sheets or Excel export into a JSON seed file for a Node, Django, or Rails app.
- Converting a Shopify, Stripe, or HubSpot CSV export into JSON for a migration script or analytics pipeline.
- Loading CSV data into a JavaScript or Python test suite as JSON fixtures.
- Posting a CSV's rows to a REST API that only accepts JSON bodies.
- Feeding a BigQuery or Snowflake export into a tool that expects JSON lines (one per row).
- Prepping CSV data for a dashboard or chart library (Chart.js, D3, Recharts) that consumes JSON.
How our converter works
Your CSV is parsed by PapaParse — the browser-native CSV library that handles quoted fields, embedded newlines, and RFC 4180 edge cases correctly. The first row becomes the object keys. Each subsequent row becomes a JSON object. Numbers and booleans are auto-detected (`"42"` becomes `42`, `"true"` becomes `true`). The output is a pretty-printed JSON array. Everything happens in your browser — CSVs containing PII, customer records, or financial data stay on your device.
CSV vs JSON — what changes in the conversion
| Feature | CSV | JSON |
|---|---|---|
| Structure | Flat rows + columns | Array of objects |
| Types | All strings | Strings, numbers, booleans auto-detected |
| Keys | First row (header) | Object property names |
| Nested data | Not supported | Flat only (one level) |
| Best consumer | Spreadsheets, BI tools | APIs, JS/Python scripts, test suites |
Frequently asked questions
Does it auto-detect number and boolean types?
Yes. PapaParse's dynamic typing converts numeric strings to numbers and `true`/`false` strings to booleans. If you want to keep everything as strings (e.g. zip codes that start with 0), you'd need to post-process the JSON — we default to the common case.
What if my CSV has no header row?
The first row is treated as the header. If your CSV has no headers, add a synthetic header row first (e.g. `col1,col2,col3`). The resulting JSON keys will be column names.
How are quoted fields and commas-in-values handled?
Properly — quoted fields with embedded commas, newlines, and escaped quotes all round-trip correctly. We follow RFC 4180.
What about encodings like UTF-8 with BOM or Windows-1252?
UTF-8 (with or without BOM) works out of the box. For Windows-1252 or UTF-16 CSVs, re-save as UTF-8 in your editor first — mixed-encoding CSVs occasionally produce garbled strings.
Are my files uploaded?
No. The conversion runs entirely in your browser. CSVs with customer emails, PII, order records, or financials never leave your device.
About the CSV format
CSV (Comma-Separated Values) is the oldest and most universal interchange format for tabular data — every spreadsheet, database, BI tool, and SaaS export speaks it. It's simple: rows are lines, columns are comma-delimited, the first row typically names the columns. JSON is the web's lingua franca for structured data — every API, every modern language, every config loader parses it natively. Converting CSV to JSON is the standard bridge when you take tabular data out of a spreadsheet or export and into any programmatic pipeline: a REST API POST, a Node/Python script, a test fixture, a JavaScript charting library, or a jq transformation. The output is a JSON array of objects — each row is one object, keyed by the header column names, with types auto-detected so numeric and boolean fields come through as native types instead of strings.