CSV Viewer

Open, sort, filter and export CSV files without a spreadsheet.

Drop a CSV file hereOr paste the data below. Nothing is uploaded.

Or paste CSV data

What does CSV Viewer do?

View a CSV file as a proper table, sort by any column, filter rows and export the result — all without opening a spreadsheet application. The parser handles quoted fields, embedded commas and newlines correctly.

How to Use CSV Viewer

1
Load a CSVDrop the file in, or paste the text.
2
Explore the tableClick a header to sort.
3
Filter the rowsType in the filter box to narrow it down.
4
ExportSave the filtered view as CSV or JSON.

Key Features

Correct parsing of quoted fields, embedded commas and newlines
Automatic delimiter detection for comma, semicolon, tab and pipe
Sort by any column, with numeric and date awareness
Filter across all columns or one at a time
Column statistics: unique values, empty cells and type detection
Export the filtered view as CSV or JSON

Frequently Asked Questions

Why does Excel mangle my CSV?

Two usual reasons: it assumes the system codepage without a UTF-8 byte order mark, so accents break; and it converts anything that looks like a number, destroying leading zeros in postcodes and IDs. This viewer does neither.

How are commas inside values handled?

Correctly, when the field is quoted. "Smith, Ada",42 parses as two fields. Doubled quotes inside a quoted field are treated as an escaped quote, per RFC 4180.

Is my CSV uploaded?

No. The file is read and parsed in your browser, which matters because CSV exports so often contain customer data, financial records or personal information.

How large a file can it open?

Files of tens of megabytes work comfortably on a desktop browser. Very large files are limited by memory, since the whole table is held in the page.

Runs in your browser

Files are read directly from your device by the browser and processed in this page. Nothing is uploaded, which is why there is no progress bar and why large files are handled instantly.

How the rest of the site handles data