CSV Viewer / CSV to Table

Options

Use INSERT column names as header Include header row Trim values

CSV delimiter

Rows

Columns

Mode

SQL input

Table preview

Extracted table will appear here.

CSV

TSV

JSON

What is a CSV Viewer?

A CSV viewer helps you inspect comma-separated or delimiter-separated data in a table format.

It is useful for exports, spreadsheets, logs, imports, quick QA checks, and converting CSV data to JSON.

How to use the CSV Viewer

Paste CSV data into the input field.
Choose a delimiter or use auto-detect.
Decide whether the first row should be treated as a header.
Review the rendered table and copy the JSON output if needed.

Tips

Use auto-detect when you are not sure whether the file uses commas, semicolons, tabs, or pipes.
Enable header mode if the first row contains column names.
Trim cells if the CSV contains extra spaces around values.
JSON output is useful for debugging imports and API payload preparation.

Related guides

Learn the workflow behind this tool and what to check next.

CSV data workflows

How to clean CSV data before import

A safe CSV cleanup workflow that preserves the original file and turns import assumptions into explicit checks.

CSV viewing checks before trusting tabular data

CSV can vary by delimiter, quoting, headers, encoding, and line endings, so a visible table is only the first validation step.

Confirm delimiter and headers

Check commas, semicolons, tabs, header rows, and empty column names before using generated JSON or copied table data.

Review quoted values

Inspect fields with commas, quotes, newlines, and leading or trailing spaces because they often reveal broken exports.

Protect data formats

Verify IDs, ZIP codes, dates, booleans, and large numbers before spreadsheets or scripts coerce them into different values.

Check row consistency

Look for rows with too many or too few columns before importing CSV into databases, dashboards, or automation.

A practical example, an edge case, and a maintainer note

Practical example

Open a file containing quoted commas, embedded newlines, and UTF-8 names before importing it into a CRM or database.

Edge case

Excel exports may use semicolons, a byte-order mark, locale-specific decimals, or inconsistent row widths that a basic comma parser misses.

Maintainer note

I inspect headers, encoding, delimiter, and several rows from the middle and end—not only the first clean-looking records.

Related tools

You may also find these tools useful.

HTML Table Generator

Create semantic, responsive HTML tables with live preview.

CSV Column Extractor

Extract a single column from CSV by name or index.

Filter CSV rows by value, match type, and selected column.

CSV Deduplicator

Remove duplicate CSV rows by full row or selected column.

SQL to CSV / Table Extractor

Extract rows from SQL INSERT statements and convert them to CSV.

CSV Viewer FAQ

Can this tool render CSV as a table?

Yes. It shows pasted CSV data as a table directly in your browser.

Can it detect delimiters automatically?

Yes. It can try to detect common delimiters such as comma, semicolon, tab, and pipe.

Can I convert CSV to JSON?

Yes. The tool generates JSON output from the parsed CSV.

Is my CSV file uploaded to view it?

No. The file is read and rendered as a table directly in your browser, so spreadsheets with real customer rows are safe to preview.