Does this handle quoted fields with commas inside them?

Yes — the parser correctly handles quoted fields, embedded commas, and escaped quotes per standard CSV formatting rules.

Is there a file size limit?

It depends on your device's available memory — very large CSV files (hundreds of MB) may be slow to parse in the browser.

Can I edit the data in this viewer?

No — this is a read-only viewer. Use a spreadsheet application if you need to edit the file.

Is my CSV file uploaded anywhere?

No — parsing and display happen entirely in your browser.

Does it support tab-separated (TSV) files?

No — this parser is specifically for comma-separated files; a differently delimited file will display incorrectly split columns.

Free Online CSV Viewer

Features

Runs entirely in your browser
Privacy-first — your data is never uploaded
Real-time, instant results
100% free, no sign-up required
Works on desktop, tablet, and mobile
No installation needed

Who uses this tool?

AnalystsDevelopersOffice workersStudents

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About CSV Viewer

CSV files are plain text, which means opening one directly shows you an unreadable wall of commas rather than the structured table it actually represents — and opening it in a spreadsheet app is overkill when you just want to quickly check what's inside a file someone sent you. This tool parses any CSV and renders it as a proper, scrollable table instantly, right in your browser.

The parser correctly handles quoted fields containing commas, embedded quotes, and both Windows and Unix line endings — the same edge cases that trip up naive comma-splitting and can silently misalign columns in less careful CSV readers. The first row is treated as a header and pinned to the top as you scroll through large files.

This is genuinely useful for a quick sanity check before importing a CSV into another system, verifying an export actually contains what you expected, or just reading through a dataset without needing to open a full spreadsheet application.

How it works

Upload your CSV file. Select any .csv file from your device.
Browse the parsed table. Headers pin to the top as you scroll.
Check row and column counts. See the file's dimensions at a glance.

Examples

Viewing an exported contact list

Input

contacts.csv with 500 rows

Output

A scrollable table, 500 rows × 6 columns