Click a node to expand/collapse. Hover any value and click the copy icon to copy it. Everything runs in your browser — your data is never uploaded.
Explore CSV as an interactive tree of rows & columns, free. A CSV viewer parses comma-separated data (per RFC 4180) and lets you explore it as an interactive structure of rows, columns, and typed cells — handling quoted fields, embedded commas, and headers correctly. This tool reads your CSV in the browser so you can search, expand, and copy values without opening a spreadsheet app, and with nothing uploaded.
It parses CSV the RFC 4180 way — respecting quoted fields and embedded commas — and presents rows and columns you can search and copy, entirely in your browser. 100% free, no registration, and complete privacy — everything runs locally in your browser, so your data never touches a server.
Each row becomes an expandable record keyed by the header columns, so you can read wide CSVs without horizontal scrolling.
Filter to find rows or values across the whole file quickly.
Hover any cell or row to copy its value to the clipboard.
Your CSV is parsed locally; nothing is uploaded — safe for customer or financial data.
It parses CSV and lets you explore it as structured rows and columns — keyed by the header — instead of raw comma-separated text. That makes wide or messy CSVs much easier to read and search than a plain text editor.
Yes. It follows RFC 4180, so a field wrapped in double quotes can contain commas, line breaks, and doubled quotes ("") without breaking the columns.
Yes. Parsing runs locally with no upload limit beyond your device's memory, and search lets you find rows in large files quickly.
No. It's parsed entirely in your browser — safe for customer, financial, or other sensitive data.
Usually the delimiter or quoting is off — a stray comma in an unquoted field shifts columns. Confirm the file is valid RFC 4180 CSV (quote fields that contain commas) and re-view it.
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