TSV to CSV Converter
Convert tab-delimited records into quoted CSV without losing multiline cells.
Open toolCSV Viewer
Read pasted CSV in an online table preview. Choose the delimiter and header setting, inspect row and column totals, and review up to 200 data rows as text.
Free to useNo sign-upRuns in your browser
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Enter the inputs, then select View CSV.
Your result
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Result will appear here
How CSV Viewer works
The viewer parses quoted records as string cells with your delimiter and header choice, then displays up to 200 preview rows.
A scrollable table displays up to 200 data rows while the total row count is shown separately. The preview does not execute cell formulas or embedded markup.
Records must have consistent column counts.
How to use CSV Viewer
Paste CSV, choose the delimiter, and state whether the first row contains headers.
Choose delimiter and first-row meaning
Paste the CSV source, choose detection or its actual delimiter, and select whether the first row contains headers or data. Preserve quoted commas and multiline cells as represented in the source.
CSV
Parse and read the record totals
Run the viewer and inspect the total data-row count, column count, and shown-in-preview total. The parser requires consistent row widths and keeps cells as text rather than converting their types.
2 rows
Inspect the bounded table preview
Read the scrollable table and its column labels. The preview shows at most 200 data rows; a longer total does not mean every row is visible. Formulas and markup are displayed as text, not executed.
Output details
When to use CSV Viewer
Inspect table structure before using the data in a separate import or editing workflow.
View CSV headers before an import
Inspect a CSV before passing it to another application to check that headers and values fall into the intended columns. Then use the destination schema to review field meanings. A correctly parsed rectangle does not guarantee a successful import.
Check CSV delimiters
Try the documented delimiter when a table appears to have only one column or an unexpected number of fields. Automatic detection is based on a sample, so an explicit selection can help test whether the source structure was interpreted as intended.
Read multiline and quoted CSV cells
View records containing commas or newlines inside quoted cells to distinguish cell content from separators. Comparing those cells with the source is often clearer than reading raw CSV lines, where a quoted newline can visually resemble a new record.
Understand CSV table previews and row limits
Distinguish the displayed preview from the parsed row total when exploring a larger CSV.
Keep a dataset to no more than 5000 data rows and 100 columns for this workflow. Only the first 200 rows are displayed. The total row statistic and displayed row count describe different parts of the review.
Values remain text rather than being automatically converted into numbers or dates. This preserves their displayed spelling here but does not control how another importer will interpret them.
Check inconsistent records
Confirm the delimiter, header option, and record structure before interpreting an unexpected table.
Records must have consistent column counts. If parsing fails, inspect quotation marks and separators near the affected record, and confirm the selected delimiter matches the source export.
The viewer does not sort, edit, or filter the dataset. Correct the original source elsewhere and reload it, or use a conversion tool when the actual task is changing the input format.
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Open toolView a CSV table in your browser
Paste CSV, choose the delimiter, and state whether the first row contains headers.
CSV Viewer: common questions
Answers about using CSV Viewer and understanding its results.
Are numeric identifiers changed?
No. Cells stay strings, preserving leading zeros and long identifiers.
Why do I see only 200 rows?
The preview is capped for readability; the total count is shown above the table.
Can I choose the delimiter manually?
Yes. Choose comma, semicolon, or tab if automatic detection does not match the source.
What if the file has no header row?
Choose Data row. The viewer supplies generic column labels and retains the first record as data.