CSV Viewer
View, filter, and edit CSV as an interactive table
What Is the CSV Viewer?
CSV (Comma-Separated Values) is a flat text format for tabular data. The CSV Viewer parses CSV and displays it as an interactive table. Filter columns, edit cells, and export to CSV or JSON. The RFC 4180 defines the CSV format.
This tool runs entirely in your browser. Nothing is sent to a server. Paste CSV or upload a file; the table updates. 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
Paste CSV into the left editor or upload a .csv or .txt file. Use Sample to load example data. Use Clear to reset.
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.
How the Viewer Works
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. All processing runs in your browser; nothing is sent to a server.
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. Viewing and editing run entirely in your browser. No data is sent to any server.
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. Click Edit, then double-click a cell to edit. Use Done when finished. Export to save changes.
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.