Free Online CSV Viewer & Table Preview
View CSV as a table in your browser — free, instant, no data sent to servers.
What Is the CSV Viewer?
You got a CSV and you just want to see what's in it — without importing it into Excel or writing a script. This tool renders your CSV (RFC 4180) as an interactive table right in your browser. Sort by column, filter rows, hide columns you don't need, and copy the formatted output. Works with exports from Google Sheets, PostgreSQL, Excel, and most database tools.
Rows are parsed and drawn by script inside this page, so a customer export never leaves your laptop. Paste CSV or open a file and the grid fills in. Use Edit to modify cells, Filter to narrow rows, and export to CSV or JSON. For formatting, use CSV Formatter. For validation, use CSV Validator. For conversion, use CSV to JSON.
CSV Viewer Examples
View CSV as an interactive table. Telecom-themed example:
Example: Subscriber records
Paste this into the editor above to see it as a table with filter and edit.
How to Use This Tool
Paste or Upload
Put your comma-separated data in the left editor, either by pasting it or by opening a .csv or .txt file with Upload. Sample loads a small subscriber export, and Clear starts over.
View and Filter
The right panel shows the table. Use the filter inputs in each column header to narrow rows. Use Edit to modify cells inline.
Export
Use CSV or JSON to export. For conversion to YAML or XML, use CSV to YAML or CSV to XML.
The tool parses CSV according to RFC 4180 and renders it as an HTML table. The first row becomes the header; each subsequent row becomes a table row. Filter inputs in the header let you narrow rows by column value. Edit mode allows inline cell editing—double-click a cell to modify it. Export to CSV or JSON saves your changes. Parsing, filtering and editing all happen in this tab, and the file is never uploaded.
The tool parses CSV according to RFC 4180 and renders it as an HTML table. The first row becomes the header; each subsequent row becomes a table row. Filter inputs in the header let you narrow rows by column value. Edit mode allows inline cell editing—double-click a cell to modify it. Export to CSV or JSON saves your changes. Parsing, filtering and editing all happen in this tab, and the file is never uploaded.
When the CSV Viewer Helps
When inspecting CSV from database exports, API responses, or spreadsheet copies, the viewer makes it readable without opening Excel or Google Sheets. Filter columns to find specific rows, edit values inline, and export the result. For conversion to JSON, YAML, or XML, use CSV to JSON, CSV to YAML, or CSV to XML.
Data scientists and analysts often need to quickly inspect CSV before loading it into pandas or other tools. The viewer provides a fast, no-install way to peek at structure and sample data. For formatting raw CSV (inconsistent delimiters, quoting), use CSV Formatter first. For validation, use CSV Validator.
Frequently Asked Questions
Is my data private?
Yes. The grid, the filters and the cell editor are all JavaScript on this page, so the rows you load are never transmitted anywhere.
What delimiters are supported?
Comma is the default. The parser typically auto-detects or handles common delimiters. For explicit control, use CSV Formatter first.
Viewer vs Formatter?
Viewer shows CSV as a table with filter and edit. Formatter cleans and normalizes raw CSV text.
Can I edit the data?
Yes. Switch on Edit mode, double-click whichever cell needs changing, and press Done when you are finished. Changes live in the grid until you export them to CSV or JSON.
Does it support large files?
Large CSV files may be slow to render. There is no hard limit, but very large files may affect performance.
Related Tools
For the CSV specification, see RFC 4180. MDN's JSON guide covers JSON export. json.org defines JSON format.