CSV to JSON Converter
Convert CSV spreadsheets into structured JSON arrays. Auto-detects delimiters, parses numbers and booleans — ready for your API or application.
How to Convert CSV to JSON
- Paste your CSV data into the input field. The tool comes pre-loaded with sample data so you can see how it works immediately.
- Choose your delimiter — auto-detect works for most CSV files, or manually select comma, tab, semicolon, or pipe.
- Click "Convert to JSON". The tool parses your CSV, uses the first row as headers, and generates a JSON array of objects. String values that look like numbers or booleans are automatically type-cast.
- Download your JSON file ready for use in your API, web app, or data pipeline.
Features
- Auto-detect delimiter — the converter analyzes your input and guesses the delimiter (comma, tab, semicolon, or pipe) so you don't have to figure it out.
- Smart type conversion — strings like
"123"become numbers,"true"/"false"become booleans, and empty cells becomenull. Unquoted numeric strings stay as numbers. - Quoted field handling — fully supports RFC 4180 quoted CSV fields containing commas, newlines, and escaped quotes.
- Whitespace trimming — header names and values are automatically trimmed of leading/trailing spaces.
When to Convert CSV to JSON
CSV is great for spreadsheets, but modern web applications and APIs need JSON. Convert CSV to JSON when:
- Building a web application — JavaScript and frontend frameworks consume JSON natively; CSV needs parsing.
- Importing spreadsheet data into a NoSQL database — MongoDB, Firebase, and CouchDB store data as JSON documents.
- Creating a mock API — convert your CSV dataset to JSON for use as a mock REST API response during development.
- Migrating from Excel-based workflows — transform legacy CSV exports into structured JSON for modern data pipelines.
- Sending data to webhooks and APIs — most SaaS APIs (Slack, Stripe, GitHub) accept JSON payloads, not CSV.
Common CSV Input Formats
Our CSV to JSON converter handles the CSV variants you'll encounter in real-world data work:
- Standard comma-separated (RFC 4180) — the default export format from Excel, Google Sheets, and most database tools.
- Tab-separated values (TSV) — common in bioinformatics, data science pipelines, and when data contains commas.
- Semicolon-separated (CSV with ';') — used in European locales where comma is the decimal separator.
- Pipe-delimited — used in legacy mainframe exports and some ETL workflows for clarity when data contains commas and semicolons.
FAQ
Is my data secure?
Yes. All conversion happens in your browser with JavaScript — your data never leaves your device, never touches a server, and is never stored or logged.
Can it handle large CSV files?
Yes. Files up to 10 MB convert smoothly. For very large files (50 MB+), the browser may slow down — but there are no hard limits since processing is local.
What CSV formats does it support?
RFC 4180 standard CSV, plus common variants with tab, semicolon, and pipe delimiters. Quoted fields, embedded newlines, and escaped quotes are all handled correctly.
Does it handle CSV files without headers?
The converter assumes the first row contains column headers. If your CSV has no headers, add a header row manually before converting, or the first data row will become the field names.