CSV to JSON Converter

Paste CSV → table + JSON. Auto-detects delimiter. Nothing uploaded.

browser-side only
Paste CSV to get started Results appear here instantly

What is csvchop?

csvchop is a free, browser-side tool for inspecting and converting CSV data. Paste any CSV — comma, tab, semicolon, or pipe separated — and instantly see it as a clean, scrollable table. Switch to the JSON tab to convert it to a JSON array ready for use in APIs, code, or data pipelines. Nothing is uploaded. Everything runs in your browser.

Whether you're debugging a data pipeline, prepping a CSV for an API call, or just trying to see what columns a file has, csvchop gets you there in seconds with no signup, no install, and no ads.

Auto-detectDetects comma, tab, semicolon, pipe automatically
Table previewScrollable table with sticky headers
JSON exportArray of objects or array of arrays
DownloadSave JSON file with one click
Quoted fieldsHandles embedded commas, newlines, quotes
No serverYour data never leaves your machine

FAQ

Is my CSV data uploaded to a server?

No. csvchop runs entirely in your browser using JavaScript. Your data never leaves your machine. There is no server to upload to.

What CSV delimiters does csvchop support?

csvchop auto-detects comma, tab, semicolon, and pipe delimiters. You can also override the delimiter manually using the dropdown in the input panel.

What JSON formats can csvchop export?

csvchop exports two formats: array of objects (each row becomes an object with column headers as keys — the most common format for APIs) and array of arrays (raw rows including the header row, useful when you need to preserve the structure exactly).

Does csvchop handle quoted fields and embedded newlines?

Yes. csvchop uses PapaParse, a battle-tested CSV parser that handles quoted fields, escaped characters, embedded commas, and embedded newlines correctly.

What is the maximum file size csvchop can handle?

csvchop runs in your browser, so limits depend on your device's memory. It handles files with tens of thousands of rows without issue. For very large files (millions of rows), use a dedicated data tool like pandas, DuckDB, or csvkit.

Can I use csvchop with TSV (tab-separated) files?

Yes. csvchop auto-detects tab as a delimiter. TSV files work identically to CSV — just paste your content or use the delimiter override if auto-detect doesn't pick it up.