CSV Viewer

The CSV Viewer is a free online tool that view, sort, filter, and analyze csv/tsv files online. paste or upload data to explore in an interactive table with column statistics and type detection.. It runs entirely in your browser with no installation or sign-up needed.

Auto-detects comma, semicolon, tab, and pipe. Manual override available if auto-detection does not match.

Yes — click column headers to sort (asc/desc), use per-column text filters, and a global search bar. Pagination at 25/50/100/all rows.

Yes. Download the current filtered/sorted view as CSV, or copy as TSV for pasting into spreadsheets.

Yes, the CSV Viewer is 100% free with no registration, no hidden fees, and no usage limits. All processing happens locally in your browser, ensuring complete privacy.

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

CSV (comma-separated values) and TSV (tab-separated values) are both plain-text formats that store a table as rows of fields, but they differ in the character used to separate columns. CSV uses a comma, which is convenient until your data itself contains commas — like addresses or prices — forcing fields to be wrapped in quotes. TSV uses a tab, which rarely appears inside real values, so it often needs no quoting and pastes cleanly into spreadsheets. Semicolons and pipes are common alternatives, especially in regions where the comma is a decimal separator. This viewer auto-detects comma, semicolon, tab, and pipe delimiters by sampling the first lines, and lets you lock the delimiter manually if the guess is wrong. Drop either format above to open it instantly.

Properly formatted CSV escapes tricky values by wrapping them in double quotes, so a field like "Boston, MA" stays in one column even though it contains a comma. The same applies to line breaks inside a cell and to literal double quotes, which are written as two quotes ("") inside the quoted field. This viewer uses a state-machine parser that follows those rules, so addresses, free-text notes, and multi-line comments land in the correct column instead of splitting and shifting every value after them. That is the most common reason a CSV looks misaligned in a basic text editor. If your export uses quoting correctly, the table will render cleanly here. Paste or upload your file above to see whether your quoted fields parse the way you expect.

Each column is profiled by checking its non-empty values against number, date, and boolean patterns, then classified as whichever type at least 80% of those values match. Anything that does not reach that threshold is treated as text, and a column with no values at all is marked empty. The 80% rule matters because real exports are messy — one stray label or a "N/A" placeholder in an otherwise numeric column should not change the column's type. Type detection also drives smarter behaviour: numeric columns sort by value, so 9 correctly comes before 100 instead of being ordered like words. Each header shows a small badge for its detected type, giving you a quick read on the data's shape. Load your file above and check the badges to confirm columns are typed as you expect.

The Statistics tab profiles every column without writing a single formula. For all columns it reports the non-empty count and the number of unique values, which is a fast way to spot missing data or confirm that an ID column has no duplicates. For columns detected as numeric, it additionally calculates the minimum, maximum, and average. That is usually enough to sanity-check an export at a glance: confirm a price column has no negatives, see the date range covered by a log, or catch a field that is unexpectedly mostly blank before you trust the file. Because the stats are computed in your browser from the parsed data, they update with your file and never leave your device. Open the Statistics tab after loading your data to get an instant profile of each column.

Misaligned columns almost always mean the parser split a row on the wrong character. The usual causes are a delimiter mismatch — your file uses semicolons or tabs but is being read as comma-separated — or unquoted values that contain the delimiter, so one field bleeds into the next and pushes every later value over by a column. Inconsistent row lengths, a missing header, or stray quote characters can produce the same symptom. This viewer reduces those problems by auto-detecting the delimiter and correctly handling quoted fields, but if a row still looks off you can manually lock the correct delimiter from the dropdown or toggle the header row. Try switching the delimiter above; if the columns snap into place, that was the issue, and you can then export a cleanly quoted CSV.