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CSV Viewer

Paste CSV data and view it as a clean, scrollable table. Handles quoted fields with commas.

Reviewed for accuracy by the Math Ora X team Last updated

About this tool

Paste CSV data and view it as a clean, scrollable table. Handles quoted fields with commas.

Example

Input: name,age\nAlice,30

Output: rendered table

Privacy

This tool runs entirely in your browser. Your data is processed locally and never uploaded to a server.

How to use this tool

  1. Paste your CSV text into the input box.
  2. Check that the first row contains the column names you want to see in the table.
  3. Click the view or parse action if the tool does not update automatically.
  4. Scroll through the table to inspect rows and columns, including wide data that needs horizontal scrolling.

Step by step, what happens

  1. The tool reads your pasted CSV as plain text and splits it into rows based on line breaks.
  2. It parses each row into columns, including quoted fields that contain commas, so values stay in the correct cell.
  3. It builds a clean HTML table from the parsed data and shows it in the browser.
  4. You can then review the table visually and spot missing values, broken quotes, or shifted columns quickly.

Worked example

Suppose you have a small CSV export from a contact list and want to verify that the names, cities, and notes line up correctly.

Input: name,city,note "Doe, Jane",Paris,"likes coffee" Sam,Boston,"new hire"

  1. Paste the CSV text into the viewer.
  2. The tool keeps Doe, Jane together as one value because it is wrapped in quotes.
  3. It renders three columns, with each record on its own row, so you can confirm the data is aligned.

Output: A table with columns name, city, note and rows: Doe, Jane | Paris | likes coffee, then Sam | Boston | new hire.

Tips and common mistakes

  • Use quotes around fields that contain commas, or those values may split into extra columns.
  • Make sure each row has the same number of columns if you want the table to stay aligned.
  • If the output looks wrong, check for an unclosed quote in the CSV text.
  • Keep the first row as headers when you want readable column names in the viewer.

Frequently asked questions

Does it handle quoted commas?

Yes, fields wrapped in double quotes may contain commas and escaped quotes.

Is the first row a header?

It is shown emphasized as a header row for readability.

Is my data uploaded?

No, parsing and rendering are local.

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