TSV to CSV Converter

How to Use TSV to CSV Converter

Convert TSV (Tab-Separated Values) files to CSV (Comma-Separated Values) format with our simple TSV to CSV Converter. Automatically handles special characters and adds proper quoting for seamless conversion.

Quick Start Guide

1. Paste TSV Data: Copy your tab-separated content and paste it into the input area
2. Auto-Convert: The tool automatically detects tabs and converts to CSV
3. Review Output: Check the converted CSV in the output area
4. Copy Result: Click "Copy CSV" to copy the converted data

Understanding TSV and CSV

What is TSV?

TSV (Tab-Separated Values) is a text format where columns are separated by tab characters (\t) instead of commas. TSV is commonly used for data export from spreadsheets, databases, and analysis tools.

TSV Format:

name	email	age
Alice	alice@test.com	30
Bob	bob@test.com	25

What is CSV?

CSV (Comma-Separated Values) is the most widely supported format for tabular data, using commas to separate columns. CSV requires quoting values that contain commas, quotes, or newlines.

CSV Format:

name,email,age
Alice,alice@test.com,30
Bob,bob@test.com,25

Why Convert TSV to CSV?

• CSV is more widely supported than TSV
• Import into Excel, Google Sheets, databases
• Use with tools that require CSV format
• Standardize data exchange format
• Prepare for web applications

Conversion Process

How It Works:

1. Parse TSV: Split rows by newlines, columns by tabs
2. Check Values: Identify values needing quotes (contain commas, quotes, newlines)
3. Quote Values: Add quotes and escape existing quotes
4. Join with Commas: Combine columns with comma separators
5. Output CSV: Generate properly formatted CSV

Automatic Quoting:

The converter automatically quotes values when needed:

Values with Commas:

TSV: New York, NY	USA
CSV: "New York, NY",USA

Values with Quotes:

TSV: 15" Monitor	Electronics
CSV: "15"" Monitor",Electronics

Values with Newlines:

TSV: Line 1\nLine 2	Data
CSV: "Line 1\nLine 2",Data

Common Use Cases

1. Spreadsheet Export to CSV

Before (TSV from Excel):

name	email	department
Alice Johnson	alice@company.com	Engineering
Bob Smith	bob@company.com	Marketing

After (CSV):

name,email,department
Alice Johnson,alice@company.com,Engineering
Bob Smith,bob@company.com,Marketing

2. Database Export Conversion

Before (TSV from PostgreSQL):

id	product	price	category
1	Laptop	1200.00	Electronics
2	Mouse	29.99	Accessories

After (CSV):

id,product,price,category
1,Laptop,1200.00,Electronics
2,Mouse,29.99,Accessories

3. Complex Text with Commas

Before (TSV):

title	description	tags
Project Alpha	A new, exciting project	urgent,development
Project Beta	Second phase, review needed	planning,review

After (CSV with proper quoting):

title,description,tags
Project Alpha,"A new, exciting project","urgent,development"
Project Beta,"Second phase, review needed","planning,review"

4. Data Analysis Output

Before (TSV from R/Python):

metric	value	change
Revenue	$5000	+5.2%
Users	1200	+8.1%

After (CSV):

metric,value,change
Revenue,$5000,+5.2%
Users,1200,+8.1%

Features

• Automatic Tab Detection: Recognizes tab-separated format
• Smart Quoting: Adds quotes only when needed
• Quote Escaping: Properly escapes existing quotes
• Preserves Data: Maintains all original data integrity
• Multi-line Support: Handles values with line breaks
• Real-Time Conversion: Instant feedback
• Statistics Display: Shows row and column counts
• One-Click Copy: Copy converted CSV instantly
• Privacy Protected: All conversion happens locally in your browser

Technical Details

Conversion Algorithm:

1. Split input by newline characters (\n)
2. For each line:
   • Split by tab character (\t)
   • For each value:
     • Check if contains comma, quote, or newline
     • If yes: escape quotes (" → "") and wrap in quotes
     • If no: use value as-is
   • Join values with commas
3. Join all lines with newlines

Quote Escaping:

Per CSV standard (RFC 4180):

• Quote character (") is escaped by doubling it ("")
• Quoted values are wrapped in quotes
• Only quote when value contains: comma, quote, or newline

Example:

Input:  15" Monitor
Output: "15"" Monitor"

Performance:

• Processes thousands of rows instantly
• O(n*m) where n = rows, m = average columns
• Efficient in-browser processing

Best Practices

1. Verify Tab Separation: Ensure input uses actual tab characters (not spaces)
2. Check Output: Review converted CSV for proper formatting
3. Test with Sample: Try small sample before converting large files
4. Keep Original: Save original TSV before conversion
5. Validate Result: Use CSV validator after conversion

TSV vs CSV Comparison

Feature	TSV	CSV
Delimiter	Tab (\t)	Comma (,)
Quoting	Rarely needed	Often needed
Readability	Good for viewing	Standard format
Support	Less common	Universal
Commas in data	No problem	Requires quoting
File size	Slightly smaller	Slightly larger

When to Use TSV vs CSV

Use TSV when:

• Data contains many commas
• Exporting from databases
• Internal data exchange
• Analyzing in command-line tools

Use CSV when:

• Importing to spreadsheets
• Web applications
• Standard data exchange
• Maximum compatibility needed

Common Issues and Solutions

Problem: Tabs showing as spaces

Solution:

• Copy directly from source (don't retype)
• Ensure actual tab characters (\t) not spaces
• Check source export settings

Problem: Extra columns in output

Solution:

• Check for tabs within data values
• Verify source TSV is properly formatted
• Look for inconsistent tab counts

Problem: Quotes not appearing correctly

Solution:

• Converter automatically adds quotes when needed
• Only values with commas/quotes/newlines get quoted
• This is correct CSV behavior

Problem: Line breaks breaking rows

Solution:

• Ensure line breaks within values are intentional
• Check that multi-line values are in same cell
• Verify source TSV format

Export Sources

Common TSV Sources:

PostgreSQL:

COPY table_name TO '/tmp/output.tsv' DELIMITER E'\\t' CSV HEADER;

MySQL:

SELECT * FROM table_name
INTO OUTFILE '/tmp/output.tsv'
FIELDS TERMINATED BY '\\t'
LINES TERMINATED BY '\\n';

Excel:

• Save As → Text (Tab delimited) (*.txt)

Google Sheets:

• File → Download → Tab-separated values (.tsv)

Python Pandas:

df.to_csv('file.tsv', sep='\\t', index=False)

R:

write.table(df, "file.tsv", sep="\\t", row.names=FALSE)

Import Destinations

After Converting to CSV:

Excel:

• File → Open → Select CSV
• Or just double-click CSV file

Google Sheets:

• File → Import → Upload → Select CSV

PostgreSQL:

COPY table_name FROM '/tmp/input.csv' DELIMITER ',' CSV HEADER;

MySQL:

LOAD DATA INFILE '/tmp/input.csv'
INTO TABLE table_name
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\\n'
IGNORE 1 ROWS;

Python Pandas:

df = pd.read_csv('file.csv')

Browser Compatibility

TSV to CSV Converter works in all modern browsers:

• ✅ Google Chrome (recommended)
• ✅ Mozilla Firefox
• ✅ Microsoft Edge
• ✅ Safari
• ✅ Opera
• ✅ Brave

Requirements:

• JavaScript enabled
• Modern browser (2020 or newer)

Privacy & Security

Your Data is Safe:

• All conversion happens in your browser using JavaScript
• No data is uploaded to any server
• No data is stored or logged
• Works completely offline after page loads
• No cookies or tracking
• 100% client-side processing

Best Practices for Sensitive Data:

1. Use the tool in a private/incognito browser window
2. Clear browser cache after use if on shared computer
3. Don't paste sensitive data in public/shared environments
4. Verify HTTPS connection (look for padlock in address bar)

Quick Reference

Input Format (TSV):

• Columns separated by tabs (\t)
• Rows separated by newlines (\n)
• No special quoting needed

Output Format (CSV):

• Columns separated by commas (,)
• Values with special chars quoted
• Standard RFC 4180 format

Conversion:

• Tab → Comma
• Auto-quote when needed
• Escape quotes in values