CSV to JSON Converter
Turn a CSV file into a JSON array of objects in seconds. Paste your CSV, check it in a real table view with sorting, then convert: each row becomes an object and your header row becomes the keys. Everything runs locally in your browser.
How the conversion works
Open the editor with your CSV and Prettify parses it with automatic delimiter detection, so comma, semicolon, and tab separated files all work. The table view shows exactly how rows and columns were understood before you commit to the conversion.
Choose Convert to JSON and every row becomes one object in a JSON array, with property names taken from the header row. The result opens in the JSON editor, where you can format it, prune fields, or copy it straight into your code.
Check your data before and after
Converting blind is how bad data sneaks into a codebase. In Prettify you can sort columns to spot outliers, search across cells, and eyeball types before converting. After converting, the JSON tree view makes structural problems obvious at a glance.
Single-column files, quoted fields, embedded commas, and newlines inside quotes are handled by a battle-tested CSV parser rather than a naive split on commas.
No upload, no size anxiety
The conversion happens on your machine. Customer exports, financial data, and anything under NDA never touch a server. Rendering is virtualized, so files with hundreds of thousands of rows stay responsive.
Frequently asked questions
Is the CSV to JSON converter free?
Yes. CSV parsing, the table view, and conversion to JSON are all in the free tier with no sign-up required. Pro adds SQL queries over your CSV and multi-column charts.
Is my CSV uploaded anywhere?
No. Parsing and conversion run locally in your browser, so the file never leaves your device. That makes it safe for exports containing customer or financial data.
How are headers and types handled?
The first row becomes the JSON property names. Values keep their text form faithfully; you can edit the resulting JSON inline if you need to coerce specific fields to numbers or booleans.
What delimiters are supported?
Comma, semicolon, tab, and pipe are detected automatically. Single-column files without any delimiter are also accepted and convert to an array of one-property objects.
Can I convert JSON back to CSV?
Yes. The same editor converts in the other direction: a JSON array of flat objects becomes a CSV with one column per key.