Convert CSV to TSV

Convert comma-separated values (CSV) to tab-separated values (TSV). Replaces comma delimiters with tab characters while properly handling quoted fields, producing clean TSV output for command-line tools and spreadsheet applications.

Input CSV

Options

CSV Format OptionsEnter the character that separates CSV columns.Character used to quote CSV values.Symbol that marks comments to skip.

Conversion OptionsPreserve HeadersKeep the first row as column names.Ignore Lines with No DataSkip empty CSV rows.

Output TSV

What It Does

How It Works

Convert CSV to TSV changes data from Csv into Tsv. That is more than a cosmetic rewrite. Field layout, quoting, nesting, and even type representation can shift because the destination format has different rules and limits.

Conversion tools are constrained by the destination format. If the source can express nesting, comments, repeated keys, or mixed data types more richly than the target, the output may need to flatten or reinterpret part of the structure.

All processing happens in your browser, so your input stays on your device during the transformation.

Common Use Cases

Prepare CSV data for use with Unix command-line tools like awk and cut
Convert CSV exports for pasting into spreadsheet tabs
Create TSV files for Hadoop and big data processing pipelines
Format data for bioinformatics tools that expect tab-delimited input
Convert to TSV for database bulk loading with LOAD DATA

How to Use

Paste your CSV data into the input area.
Click Convert to switch from comma to tab delimiters.
Copy or download the TSV output.
Use a .tsv file extension when saving.

Features

Replaces comma delimiters with tab characters
Handles quoted fields containing commas
Removes unnecessary quotes after conversion
Preserves multiline field values
Maintains data integrity during conversion

Examples

Below is a representative input and output so you can see the transformation clearly.

Input

name,score
Ada,9
Lin,7

Output

name	score
Ada	9
Lin	7

Edge Cases

Very large inputs can still stress the browser, especially when the tool is working across many rows and columns. Split huge jobs into smaller batches if the page becomes sluggish.
Source values that look similar can map differently in the target format when data types are inferred, flattened, or serialized.
If the output looks wrong, compare the exact input and option values first, because Convert CSV to TSV should be repeatable with the same settings.

Troubleshooting

Unexpected output often means the input is being split or interpreted at the wrong unit. For Convert CSV to TSV, that unit is usually rows and columns.
If a previous run looked different, check for hidden whitespace, changed separators, or a setting that was toggled accidentally.
If nothing changes, confirm that the input actually contains the pattern or structure this tool operates on.
If the page feels slow, reduce the input size and test a smaller sample first.

Tips

TSV files rarely need quoted fields since tabs are uncommon inside data values. After conversion, most fields will be unquoted, resulting in a cleaner file.

CSV vs. TSV

CSV and TSV are both plain-text tabular formats, but they use different delimiters. CSV uses commas, which creates ambiguity when data contains commas (addresses, descriptions, numeric values with thousands separators). TSV uses tabs, which rarely appear in field values, making parsing simpler and more reliable for most data types.

Why Convert to TSV

Unix command-line tools work more naturally with TSV. The cut command splits on tabs by default. awk uses whitespace-based field separation. Piping TSV through these tools requires no special flags, while CSV requires custom delimiter settings and quote-handling logic. For shell scripting and data wrangling, TSV is the more practical format.

Bioinformatics and Scientific Data

TSV is the dominant format in bioinformatics. Gene expression matrices, variant call files (VCF), and BED files all use tab separation. Converting CSV research data to TSV before analysis with tools like R Bioconductor, BEDTools, or Galaxy ensures compatibility without additional parsing configuration.

Big Data Pipelines

Hadoop, Hive, and Spark process TSV files efficiently because the simple tab delimiter eliminates the need for CSV-aware parsing. Large-scale ETL jobs that convert incoming CSV to TSV before storage in HDFS or cloud storage gain parsing speed and avoid quoting-related bugs in distributed processing.

Frequently Asked Questions

What happens to commas inside quoted fields?

Commas inside quoted fields are data, not delimiters. After conversion, those commas remain as part of the field value. The fields may lose their quotes since they no longer need protection from the comma delimiter.

Can I convert back from TSV to CSV?

Yes. Use the Convert TSV to CSV tool for the reverse operation.

What happens if my data contains tab characters?

If existing field values contain tabs, they will be quoted in the TSV output to distinguish them from delimiter tabs.

Should I use .tsv or .txt as the file extension?

Use .tsv for clarity. Some tools (especially older Windows applications) may expect .txt for tab-separated files, but .tsv is the modern standard.

Does the conversion preserve the header row?

Yes. The header row is converted exactly like data rows — its comma delimiters become tabs.

Is TSV better than CSV for all purposes?

Not for all. CSV is more widely supported for data interchange (APIs, databases, web applications). TSV is better for command-line processing, bioinformatics, and situations where field values commonly contain commas.