CSV Viewer
Paste or upload CSV and view it as a sortable table. Detects delimiter, handles quoted fields, counts rows and columns.
Use CSV Viewer
| name | role | team | joined |
|---|---|---|---|
| Ada Lovelace | Engineer | Platform | 2021-03-01 |
| Grace Hopper | Architect | Compiler | 2019-07-12 |
| Alan Turing | Researcher | Theory | 2018-01-30 |
| Katherine Johnson | Analyst | Orbital | 2020-11-05 |
Turn raw CSV into a readable table
CSV is everywhere — database dumps, spreadsheet exports, analytics downloads — but raw comma-separated text is hard to read once you have more than a couple of columns. This viewer parses the data and lays it out as a proper table with aligned columns, a sticky header, and zebra striping so you can scan a row or compare a column at a glance. Just paste the text or upload a file and the table appears instantly; edit the text and it updates live.
Delimiters, quotes, and headers
Real-world CSV is messy. Exports from European locales often use semicolons, spreadsheet tools frequently produce tab-separated files, and any field may be wrapped in double quotes to protect commas, quotes, or line breaks inside the value. The viewer detects the most likely delimiter automatically — or you can pick one — and its parser correctly keeps quoted fields intact, so "Smith, John" stays in a single cell. Use the First row is header toggle to decide whether the top line provides column names or is just another data row.
Sort and inspect
Click any column header to sort the rows by that column, and click again to reverse the order. Numeric columns sort by value rather than as text, so 2 lands before 10. The live row and column counts make it easy to confirm a file has the number of records you expect, spot an extra trailing line, or check that every row has the same number of fields. It is a quick way to validate an export before importing it somewhere else.
Frequently Asked Questions
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