ToolBirch

CSV Viewer

View CSV files as a clean table with correct RFC 4180 parsing.File & Data Tools

CSV Viewer

Paste or drop a CSV file and read it as a table. Delimiter, quotes and embedded newlines are parsed per RFC 4180.

About this tool

CSV looks simple until a quoted field contains commas or line breaks. This viewer implements the full RFC 4180 grammar, detects the delimiter automatically (comma, semicolon, tab or pipe), and shows the file as a readable table.

How to use the CSV Viewer tool

  1. Add your file. Drop a .csv or .tsv file, or paste text directly.
  2. Check the parse. The detected delimiter and row count are shown above the table.
  3. Read or download. Scroll the table; download the original file back at any time.

Supported formats

Input

  • Plain text or file input

Output

  • Converted or analysed output

Inputs are validated before anything is processed. Invalid values and unsupported files are rejected with a clear error instead of failing silently.

Frequently asked questions

Are my files uploaded?

No. Parsing happens in the tab; there is no upload endpoint.

What delimiters are detected?

, ; tab and | are compared on the first data line, and the majority wins.

How big can files be?

Browser memory is the limit; very large files may be slow to render in the table.

Privacy

Everything you enter stays in this browser tab. There is no upload endpoint for tool inputs, no account, and no server-side copy of your text or files. Results are produced locally and disappear when you close the page.

No account is required and no file is ever uploaded. See the privacy policy for details about analytics and the limited data this site stores.

Known limitations

  • Very large files (100 MB+) are limited by browser memory and table rendering.

Related tools

Other free tools from the same collection.

CSV EditorEdit CSV cells in a grid and export clean, correctly-escaped CSV.CSV to ExcelConvert CSV into a real .xls workbook with typed numeric cells.Excel to CSVRead .xlsx workbooks locally and export the first sheet as CSV.CSV to JSONConvert CSV rows into a JSON array with optional type inference.