Convert TEX to TSV

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

TEX vs TSV Format Comparison

Aspect TEX (Source Format) TSV (Target Format)
Format Overview
TEX / LaTeX
Document Preparation System

LaTeX is a high-quality typesetting system designed for scientific and technical documentation. Created by Leslie Lamport as a macro package for Donald Knuth's TeX system, it's the standard for academic publishing, especially in mathematics, physics, and computer science.

Scientific Academic
TSV
Tab-Separated Values

TSV is a simple text format for storing tabular data where columns are separated by tab characters. It's widely used in bioinformatics, data science, and Unix/Linux environments for its simplicity and ease of processing with command-line tools.

Tabular Data Unix-Friendly
Technical Specifications
Structure: Plain text with markup commands
Encoding: UTF-8 or ASCII
Format: Open standard (TeX/LaTeX)
Processing: Compiled to DVI/PDF
Extensions: .tex, .latex, .ltx
Structure: Rows and tab-delimited columns
Encoding: UTF-8 (recommended)
Format: IANA text/tab-separated-values
Processing: Parsed by delimiter (tab)
Extensions: .tsv, .tab
Syntax Examples

LaTeX table syntax:

\begin{table}
\caption{Gene Expression Data}
\begin{tabular}{|l|r|r|}
\hline
Gene & Control & Treatment \\
\hline
BRCA1 & 2.45 & 4.89 \\
TP53 & 1.23 & 3.67 \\
MYC & 5.12 & 2.34 \\
\hline
\end{tabular}
\end{table}

TSV tab-delimited format:

Gene	Control	Treatment
BRCA1	2.45	4.89
TP53	1.23	3.67
MYC	5.12	2.34

(Tab characters separate columns)

Content Support
  • Professional typesetting
  • Mathematical equations (native)
  • Bibliography management (BibTeX)
  • Cross-references and citations
  • Automatic numbering
  • Table of contents generation
  • Index generation
  • Custom macros and packages
  • Multi-language support
  • Publication-quality output
  • Simple tabular data
  • Text and numeric values
  • No escaping needed for commas
  • Unix command-line friendly
  • Easy awk/cut processing
  • Bioinformatics standard
  • Minimal file size
  • Direct paste to spreadsheets
  • Cross-platform compatibility
  • Streaming processing
Advantages
  • Publication-quality typesetting
  • Best-in-class math support
  • Industry standard for academia
  • Precise layout control
  • Massive package ecosystem
  • Excellent for long documents
  • Free and open source
  • Cross-platform
  • No comma escaping issues
  • Cleaner than CSV for text data
  • Unix tool compatible (awk, cut)
  • Standard in bioinformatics
  • Easy copy-paste to Excel
  • Simpler parsing logic
  • Preserves commas in data
  • Lightweight format
Disadvantages
  • Steep learning curve
  • Verbose syntax
  • Compilation required
  • Error messages can be cryptic
  • Complex package dependencies
  • Less suitable for simple docs
  • Debugging can be difficult
  • Tabs can be invisible in editors
  • Tab characters in data problematic
  • Less common than CSV
  • No official RFC standard
  • No data types (all text)
  • No metadata support
Common Uses
  • Academic papers and journals
  • Theses and dissertations
  • Scientific books
  • Mathematical documents
  • Technical reports
  • Conference proceedings
  • Resumes/CVs (academic)
  • Presentations (Beamer)
  • Bioinformatics data
  • Gene expression data
  • Unix/Linux data processing
  • Scientific data exchange
  • Data with embedded commas
  • Clipboard data exchange
  • Log file analysis
  • Research data repositories
Best For
  • Academic publishing
  • Mathematical content
  • Professional typesetting
  • Complex document layouts
  • Bioinformatics workflows
  • Unix command-line processing
  • Data with comma values
  • Scientific data exchange
  • Spreadsheet copy-paste
Version History
TeX Introduced: 1978 (Donald Knuth)
LaTeX Introduced: 1984 (Leslie Lamport)
Current Version: LaTeX2e (1994+)
Status: Active development (LaTeX3)
Origin: Early computing era
MIME Type: text/tab-separated-values
Current: IANA registered type
Status: Stable, widely used
Software Support
TeX Live: Full distribution (all platforms)
MiKTeX: Windows distribution
Overleaf: Online editor/compiler
Editors: TeXstudio, TeXmaker, VS Code
Spreadsheets: Excel, Google Sheets, LibreOffice
Unix Tools: awk, cut, sort, join
Languages: Python, R, Perl
Bioinformatics: Galaxy, BLAST, BEDTools

Why Convert LaTeX to TSV?

Converting LaTeX documents to TSV (Tab-Separated Values) format is ideal when you need to extract tabular data for processing in Unix/Linux environments or bioinformatics workflows. TSV offers advantages over CSV when your data contains commas, as tab delimiters avoid escaping issues.

TSV is the preferred format in bioinformatics and scientific computing, where tools like awk, cut, and sort are used to process data. Extracting tables from LaTeX papers into TSV enables seamless integration with these command-line workflows.

When you copy data from a spreadsheet, it's typically in TSV format (tabs between cells). Converting LaTeX tables to TSV creates output that can be directly pasted into Excel, Google Sheets, or any spreadsheet application.

Key Benefits of Converting TEX to TSV:

  • No Comma Escaping: Handle data with commas naturally
  • Unix Compatible: Process with awk, cut, sort
  • Bioinformatics Ready: Standard in genomics and life sciences
  • Copy-Paste Friendly: Direct paste to spreadsheets
  • Simple Parsing: Split by tab character
  • Scientific Workflows: Integrate with research pipelines
  • Clean Text Data: Preserve punctuation and special characters

Practical Examples

Example 1: Gene Expression Data

Input TEX file (genes.tex):

\begin{table}[h]
\caption{Differential Gene Expression}
\begin{tabular}{|l|c|c|c|}
\hline
Gene ID & Log2FC & P-value & FDR \\
\hline
ENSG00000141510 & 2.45 & 0.0001 & 0.005 \\
ENSG00000171862 & -1.89 & 0.0003 & 0.012 \\
ENSG00000139618 & 3.12 & 0.0002 & 0.008 \\
\hline
\end{tabular}
\end{table}

Output TSV file (genes.tsv):

Gene ID	Log2FC	P-value	FDR
ENSG00000141510	2.45	0.0001	0.005
ENSG00000171862	-1.89	0.0003	0.012
ENSG00000139618	3.12	0.0002	0.008

Example 2: Data with Commas

Input TEX file (locations.tex):

\begin{tabular}{lcc}
Location & Population & Area (km$^2$) \\
\hline
New York, NY & 8,336,817 & 783.8 \\
Los Angeles, CA & 3,979,576 & 1,213.9 \\
Chicago, IL & 2,693,976 & 606.1 \\
\end{tabular}

Output TSV file (locations.tsv):

Location	Population	Area (km^2)
New York, NY	8,336,817	783.8
Los Angeles, CA	3,979,576	1,213.9
Chicago, IL	2,693,976	606.1

Note: Commas in location names and population numbers are preserved without escaping.

Example 3: Unix Command-Line Processing

Once converted, process with Unix tools:

# Extract second column (Log2FC values)
cut -f2 genes.tsv

# Sort by P-value (column 3)
sort -t$'\t' -k3 -n genes.tsv

# Filter significant genes (FDR < 0.01)
awk -F'\t' '$4 < 0.01' genes.tsv

# Count rows
wc -l genes.tsv

Frequently Asked Questions (FAQ)

Q: What's the difference between TSV and CSV?

A: TSV uses tab characters to separate columns, while CSV uses commas. TSV is advantageous when your data contains commas (like numbers with thousands separators or addresses) because you don't need to escape or quote fields. TSV is also the native format for clipboard copy-paste from spreadsheets.

Q: Why is TSV popular in bioinformatics?

A: Bioinformatics workflows heavily rely on Unix command-line tools like awk, cut, and sort. TSV files work seamlessly with these tools using -F'\t' as the field separator. Many bioinformatics file formats (BED, GFF, SAM) are essentially TSV with specific column definitions.

Q: Can I open TSV files in Excel?

A: Yes! Excel and other spreadsheet applications recognize TSV files. When you open a .tsv file, Excel will automatically parse the tab-separated columns. You can also copy TSV data and paste it directly into a spreadsheet, and it will split correctly into columns.

Q: How are LaTeX special characters handled?

A: LaTeX commands like superscripts ($^2$) and subscripts are converted to plain text equivalents. Mathematical notation is simplified for TSV compatibility while preserving the data values.

Q: What if my data contains tab characters?

A: Tab characters within data are rare but would need to be escaped or replaced. The converter handles this automatically, typically replacing tabs with spaces in data fields while using tabs as delimiters.

Q: Is TSV better than CSV for scientific data?

A: For scientific data that contains commas (decimal separators in some locales, thousands separators, or addresses), TSV is cleaner and less error-prone. For simple numeric data without commas, either format works well. TSV is preferred in bioinformatics and genomics.