Convert TSV to CSV

Drag and drop files here or click to select.
Max file size 100mb.
Uploading progress:

TSV vs CSV Format Comparison

Aspect TSV (Source Format) CSV (Target Format)
Format Overview
TSV
Tab-Separated Values

Plain text format using tab characters (U+0009) as column delimiters. TSV is the native clipboard format when copying cells from Excel or Google Sheets. It is the standard in bioinformatics, scientific computing, and Unix data pipelines because tab characters rarely appear in data, eliminating quoting complexity.

Tabular Data Clipboard Native
CSV
Comma-Separated Values

The most universally recognized plain text format for tabular data, using commas as column delimiters. CSV is supported by virtually every spreadsheet application, database, programming language, and data tool. RFC 4180 defines the standard format, including quoting rules for fields containing commas, quotes, or newlines.

Universal Format Data Exchange
Technical Specifications
Structure: Rows by newlines, columns by tabs
Delimiter: Tab character (U+0009)
Quoting: Not required (tabs rarely in data)
Encoding: UTF-8, ASCII
MIME Type: text/tab-separated-values
Extensions: .tsv, .tab
Structure: Rows by newlines, columns by commas
Delimiter: Comma (U+002C)
Quoting: Double quotes for fields with commas/quotes
Standard: RFC 4180 (2005)
MIME Type: text/csv
Extensions: .csv
Syntax Examples

TSV uses tab characters (shown as spaces):

Name    City    Salary
Alice    New York, NY    95000
Bob    San Francisco, CA    110000
Charlie    Austin, TX    85000

CSV uses commas with quoting when needed:

Name,City,Salary
Alice,"New York, NY",95000
Bob,"San Francisco, CA",110000
Charlie,"Austin, TX",85000
Content Support
  • Tabular data with rows and columns
  • No quoting needed for commas in data
  • Clipboard-native from spreadsheets
  • Large datasets (millions of rows)
  • Bioinformatics standard (BED, GFF, VCF)
  • Simple, unambiguous parsing
  • Tabular data with rows and columns
  • Quoted fields for commas and quotes
  • Multi-line field values (within quotes)
  • Universal import/export support
  • Compatible with every database system
  • Standard for data interchange (RFC 4180)
Advantages
  • No quoting complexity
  • Unambiguous column boundaries
  • Native clipboard format for Excel
  • Simpler and faster to parse
  • Standard in bioinformatics
  • Works well with Unix tools
  • Universal application support
  • Formal standard (RFC 4180)
  • Default format for most data tools
  • Smallest file size for tabular data
  • Widely understood by non-technical users
  • Supported by all spreadsheet applications
Disadvantages
  • Less universally supported than CSV
  • Tab characters invisible in some editors
  • Some tools default to CSV, not TSV
  • No formal RFC standard
  • May be confused with fixed-width format
  • Quoting complexity for commas in data
  • Delimiter conflicts common in text data
  • Inconsistent implementations across tools
  • Encoding ambiguity (UTF-8 vs BOM)
  • No data type information
Common Uses
  • Bioinformatics data files
  • Clipboard data from Excel/Sheets
  • Scientific instrument output
  • Unix data pipelines (cut, awk)
  • Database export for analysis
  • Data import/export between systems
  • Database bulk operations
  • Spreadsheet data exchange
  • ETL pipelines and data migration
  • Reporting and data analysis
  • Web application data feeds
Best For
  • Scientific data with commas in values
  • Clipboard paste workflows
  • Unix command-line processing
  • Bioinformatics pipelines
  • Universal data interchange
  • Database import/export operations
  • Cross-application compatibility
  • Data sharing with non-technical users
Version History
Introduced: 1960s (mainframe era)
IANA Registration: text/tab-separated-values
Status: Widely used, stable
MIME Type: text/tab-separated-values
Introduced: 1972 (early implementations)
RFC Standard: RFC 4180 (2005)
Status: Universal standard
MIME Type: text/csv
Software Support
Microsoft Excel: Full support (open/save)
Google Sheets: Full support
LibreOffice Calc: Full support
Other: Python, R, pandas, Unix tools
Microsoft Excel: Default open/save format
Google Sheets: Default download format
Every Database: Import/export support
Other: Python, R, pandas, all programming languages

Why Convert TSV to CSV?

Converting TSV to CSV is a delimiter change operation that transforms tab-separated data into the universally recognized comma-separated format. While TSV is excellent for clipboard operations and scientific data, CSV is the default import format for most databases, spreadsheet applications, and data processing tools. When you need maximum compatibility with third-party systems, CSV is the standard choice.

The key technical challenge in TSV-to-CSV conversion is proper quoting. TSV data does not require quoting because tab characters seldom appear in field values. However, when converting to CSV, any field that contains a comma, double quote, or newline must be enclosed in double quotes per RFC 4180. Our converter handles this automatically, analyzing each field and applying quoting only where needed to produce clean, standards-compliant CSV output.

This conversion is frequently needed when importing data into business tools that only accept CSV. CRM systems, email marketing platforms, accounting software, and many SaaS applications require CSV uploads. If your data originates from a clipboard paste (which produces TSV), a bioinformatics pipeline, or a scientific application, converting to CSV ensures compatibility with these business systems.

The converter also handles edge cases such as TSV files with empty cells (consecutive tab characters), trailing tabs, and various line ending styles (Windows CRLF, Unix LF, Mac CR). The output CSV follows RFC 4180 standards with UTF-8 encoding, making it compatible with virtually any application that reads CSV files.

Key Benefits of Converting TSV to CSV:

  • Universal Compatibility: CSV is accepted by virtually every data tool and application
  • Proper Quoting: Automatically quotes fields containing commas, quotes, or newlines
  • RFC 4180 Compliant: Output follows the CSV standard for maximum interoperability
  • Data Integrity: All values are preserved exactly, including special characters
  • Empty Field Handling: Consecutive tabs (empty cells) are correctly represented in CSV
  • Encoding Preservation: UTF-8 encoding maintained throughout conversion
  • Business Ready: Output compatible with CRMs, databases, and SaaS platforms

Practical Examples

Example 1: Contact List with Commas in Addresses

Input TSV file (contacts.tsv):

Name    Address    Phone    Email
John Smith    123 Main St, Apt 4, New York    555-0101    [email protected]
Jane Doe    456 Oak Ave, Suite 200, Boston    555-0202    [email protected]
Bob Wilson    789 Pine Rd, Chicago    555-0303    [email protected]

Note: Columns are separated by tab characters in the actual file.

Output CSV file (contacts.csv):

Name,Address,Phone,Email
John Smith,"123 Main St, Apt 4, New York",555-0101,[email protected]
Jane Doe,"456 Oak Ave, Suite 200, Boston",555-0202,[email protected]
Bob Wilson,"789 Pine Rd, Chicago",555-0303,[email protected]

Example 2: Product Data for Database Import

Input TSV file (products.tsv):

SKU    Name    Description    Price    Category
A001    Widget Pro    High-quality, durable widget    29.99    Electronics
A002    Gadget Plus    Compact, lightweight gadget    49.99    Accessories
A003    Tool Kit    Contains: hammer, screwdriver, pliers    39.99    Tools

Note: Columns are separated by tab characters in the actual file.

Output CSV file (products.csv):

SKU,Name,Description,Price,Category
A001,Widget Pro,"High-quality, durable widget",29.99,Electronics
A002,Gadget Plus,"Compact, lightweight gadget",49.99,Accessories
A003,Tool Kit,"Contains: hammer, screwdriver, pliers",39.99,Tools

Example 3: Genomic Data for Analysis Tool

Input TSV file (genes.tsv):

Gene_ID    Symbol    Chromosome    Start    End    Description
ENSG00000141510    TP53    chr17    7661779    7687550    Tumor protein p53
ENSG00000012048    BRCA1    chr17    43044295    43170245    BRCA1 DNA repair
ENSG00000146648    EGFR    chr7    55019017    55211628    Epidermal growth factor receptor

Note: Columns are separated by tab characters in the actual file.

Output CSV file (genes.csv):

Gene_ID,Symbol,Chromosome,Start,End,Description
ENSG00000141510,TP53,chr17,7661779,7687550,Tumor protein p53
ENSG00000012048,BRCA1,chr17,43044295,43170245,BRCA1 DNA repair
ENSG00000146648,EGFR,chr7,55019017,55211628,Epidermal growth factor receptor

Frequently Asked Questions (FAQ)

Q: What is the main difference between TSV and CSV?

A: The only structural difference is the column delimiter: TSV uses tab characters, CSV uses commas. This seemingly small difference has significant implications. Because commas commonly appear in text data (addresses, names, descriptions), CSV requires a quoting mechanism where fields containing commas are enclosed in double quotes. TSV avoids this complexity because tab characters almost never appear in data content.

Q: Will the conversion add quotes to all fields?

A: No. The converter follows RFC 4180 best practices and only quotes fields that require it -- specifically, fields that contain commas, double quotes, or newline characters. Fields with simple values (numbers, plain text without commas) are left unquoted for cleaner output. This produces CSV files that are maximally compatible with all CSV parsers.

Q: How are double quotes in TSV data handled?

A: If a TSV field contains double quote characters, the converter escapes them by doubling them (per RFC 4180) and wraps the entire field in quotes. For example, a TSV field containing: He said "hello" becomes the CSV field: "He said ""hello""". This is the standard CSV escaping mechanism understood by all CSV parsers.

Q: Can I convert CSV back to TSV?

A: Yes. Our converter also supports CSV to TSV conversion. The reverse conversion strips quoting and replaces commas with tab characters. This is useful when you need to move data from a business system (which exports CSV) into a scientific pipeline (which expects TSV). Both directions preserve all data values accurately.

Q: Which format should I use: TSV or CSV?

A: Use CSV when you need maximum compatibility with business tools, databases, and non-technical users. Use TSV when working with scientific data, bioinformatics pipelines, or Unix command-line tools, and when your data contains commas. If you are copying data from a spreadsheet clipboard, it is already in TSV format. Convert to CSV only when the receiving system requires it.

Q: What happens to empty cells during conversion?

A: Empty cells (consecutive tab characters in TSV) are correctly converted to consecutive commas in CSV. For example, a TSV row with an empty middle field like: Alice[TAB][TAB]Engineer becomes the CSV: Alice,,Engineer. The column structure and empty values are fully preserved.

Q: Will Excel open the converted CSV correctly?

A: Yes. The converter produces RFC 4180-compliant CSV with UTF-8 encoding. Microsoft Excel, Google Sheets, LibreOffice Calc, and all major spreadsheet applications will open the file correctly. Fields with commas will be properly contained in their respective columns thanks to the quoting applied during conversion.

Q: Does the converter handle different line endings?

A: Yes. The converter accepts TSV files with any line ending style: Windows CRLF (\r\n), Unix LF (\n), or legacy Mac CR (\r). The output CSV uses the RFC 4180 standard line ending (CRLF) for maximum compatibility, though most modern CSV parsers accept any line ending format.