Free Online CSV Editor

The Online CSV Editor is a free online tool that edit csv files in your browser with a table interface. add, delete, sort, and filter rows. It runs entirely in your browser with no installation or sign-up needed.

Yes — upload any .csv file or paste CSV text directly into the editor.

Add/delete rows and columns, edit cell values, sort, filter, and rename columns.

Yes, completely free.

Absolutely. The Online CSV Editor processes everything client-side in your browser. No data is uploaded to or stored on any server. Your content remains private on your device at all times.

Yes, the Online CSV Editor is fully responsive and works on smartphones and tablets. You can use it on any device with a modern web browser -- no app download required.

No account or registration is needed. Simply open the Online CSV Editor in your browser and start using it immediately. There are no sign-up walls or usage restrictions.

Simply enter your input in the provided field, adjust any settings to your preference, and the tool will process it instantly. You can then copy the result to your clipboard or download it.

The Online CSV Editor works in all modern browsers including Chrome, Firefox, Safari, Edge, and Opera. For the best experience, use the latest version of your preferred browser.

Excel and Google Sheets treat CSV columns as numbers by default, so a ZIP code like 02134 loses its leading zero and becomes 2134, while a 16-digit order ID or phone number gets reformatted into scientific notation such as 1.23E+15. Dates are also silently rewritten to your locale's format on import. This happens because spreadsheet apps guess each value's type instead of keeping it as plain text. A dedicated CSV editor avoids the problem entirely: every cell is treated as text, so what you see is exactly what gets written back when you export. Leading zeros, long IDs, and original date strings stay intact. Paste or upload your file above to open it in the table and edit it without losing a single character of formatting.

A comma normally marks the boundary between columns, so a value that legitimately contains one — like "Smith, John" or an address — would split into two cells if written out raw. To prevent that, the editor follows standard CSV quoting on export: any value containing a comma, a double quote, or a line break is wrapped in double quotes, and any quote already inside the value is doubled (" becomes ""). This is the same RFC 4180 escaping that Excel, databases, and most parsers expect, so your downloaded file opens correctly everywhere without fields spilling into the wrong column. You do not have to add quotes yourself or worry about which cells need them. Just make your edits in the table and choose Download CSV — the proper quoting is applied automatically as the file is generated.

Load your CSV into the table, then choose Download JSON. The editor turns each row into a JSON object keyed by your column headers, so a header row of name,age,email produces objects like {"name": "Alice", "age": "29", "email": "alice@example.com"}, collected into an array. Because the keys come straight from your header row, you can rename a column in the table first to control exactly what each JSON field is called. This is handy when you need to feed tabular data into an API, a config file, or a script that expects JSON rather than CSV. All values are exported as strings, matching how they appear in the table. Everything runs in your browser, so even a large file converts instantly with nothing uploaded. Edit your data above, then export it as JSON in one click.

Sorting matters because text and numbers order differently. Sorted as text, values are compared character by character, so 80 comes before 9 because "8" is lower than "9" — clearly wrong for quantities. Sorted numerically, 9 correctly comes before 80 because the actual values are compared. This editor's sort is numeric-aware: when a column holds numbers it orders them by value, and when it holds text it sorts alphabetically, so you get the right result without choosing a mode. Clicking a column's sort control cycles through ascending, then descending, then back to the original row order, which lets you quickly find the highest or lowest values and then restore your data. Open your file in the table above and click any header's sort arrow to reorder rows instantly.

Yes. The upload control accepts .csv, .tsv, and .txt files, so you can load tab- or comma-separated exports the same way. The file is read locally by your browser and parsed into the editable table, with the first row becoming your column headers. Note that the parser splits on commas, so a true tab-separated file may load as a single column; the quickest fix is to open the TSV in any text editor, replace tabs with commas, and paste the result into the editor. Once your data is in the table you get the full toolset — edit cells, rename headers, add or delete rows and columns, sort, filter, and a status bar showing row count, column count, and empty cells. Paste or upload your file above to start cleaning it right away.