CSV to JSON.

How CSV-to-JSON conversion works.

CSV is flat and row-based; JSON is hierarchical and type-aware. This tool parses each CSV row into an object using the header row as keys, then outputs the result as a pretty-printed JSON array. The first row must contain column headers — these become the JSON keys for each element.

The tool handles quoted fields, escaped delimiters, and multi-line values per RFC 4180. It also auto-detects types: numbers become JSON numbers, true/false become booleans, empty cells become null, and everything else stays as a string.

When to use CSV-to-JSON.

APIs and JavaScript. Most web APIs accept and return JSON. Convert a CSV export into a JSON array so your front-end code can fetch, render, or post it without a server-side import step.

Document stores. MongoDB, Elasticsearch, and most NoSQL databases ingest JSON directly. Convert a CSV dump of your table into documents you can insert with a single command.

Data visualization. Libraries such as D3.js, Chart.js, and Observable expect JSON arrays of objects. Convert once and feed the array straight into your chart configuration.

Delimiter options.

Comma (,) — the standard CSV delimiter. Used by most tools. Semicolon (;) — common in European locales where comma is the decimal separator. Pipe (|) — used in some data pipelines and when data contains both commas and semicolons.

Choose the delimiter that matches your input. If your CSV file was exported from Excel in a European locale, try semicolon. If you're pasting pipe-delimited data from a log file, use pipe.

CSV parsing and RFC 4180.

RFC 4180 is the official standard for CSV format. It defines how fields containing commas, quotes, or newlines should be escaped: enclose the field in double quotes and double any quotes within the field. This tool follows RFC 4180 strictly, so it correctly handles quoted fields, escaped delimiters, and multi-line values.

Many tools export CSV that does not fully comply with RFC 4180 — they may use single quotes, backslash escapes, or inconsistent quoting. This tool is lenient where possible but strict where it matters, ensuring your JSON output is always valid regardless of the input quirks.

Data migration workflows.

Spreadsheet to web app. Export your spreadsheet as CSV, convert it to JSON, and drop the array into your application's seed data or fixture files. Every record keeps the column names from your sheet.

Database to API. When migrating records into an API-backed system, export the tables as CSV, convert them to JSON, and commit the result next to your application code so it can be reviewed in pull requests.

Reports and pipelines. Many services export CSV reports. Convert them to JSON once, and the same file can power a dashboard, an import script, or a data pipeline.

Type detection and JSON output.

The converter detects data types automatically: integers and decimals become JSON numbers, true and false become booleans, empty cells become null, and everything else stays a quoted string. Values with leading zeros — IDs, zip codes, account numbers — stay strings so no data is lost.

The output is pretty-printed with two-space indentation, which is what you want for code review and version control. If you need a compact payload, run the result through the JSON minifier tool afterward.