Slice a TSV File

Slice a TSV File right in your browser to extract a specific row range. Choose start and end rows, preserve headers, and export the result instantly.

Paste your input above or import a file below.
No file chosen
Supported file types: .tsv, .txt, .csv, .log, .md, .xml, .json, .ini, .yaml, .yml, .html, .htm, .css
Total rows: 0
Options
Include header
Maximize output

How to Use:

  • Paste or type your TSV content into the “Input TSV” field.
  • Optionally, import a .tsv, .txt, or other supported plain-text file using the “Choose File” button.
  • Set the Start Row and End Row fields to define the slice range (rows are 1-based).
  • Use the Include header toggle to retain the first row in your output regardless of slice.
  • Toggle Maximize output if you want a taller output box for better visibility.
  • Output updates automatically as you type or adjust settings.
  • Use the Copy Output button to copy results, or click Export to File to save it.
  • Hit Clear All to reset everything including the counter, toggles, and imported file.

What Slice a TSV File can do:

Slice a TSV File helps you isolate rows from a tab-separated values dataset quickly. Whether you’re trimming logs, sampling data, or preparing chunks for analysis, it lets you set a start and end point with full control. The Include header toggle ensures the first row (usually column labels) sticks with the output, no matter the slice. You’ll see the result update live and can copy or export it as needed no extra steps required. It’s perfect for data wrangling, quick debugging, or cutting a large TSV into manageable pieces.

Example:

Input:

name	age	city
Alice	25	New York
Bob	30	Los Angeles
Charlie	28	Chicago
Dana	22	Miami

Start Row: 2 End Row: 4 Include Header: ON

Output:

name	age	city
Bob	30	Los Angeles
Charlie	28	Chicago

Common Use Cases:

You might use this tool to quickly sample a few lines from a large dataset, share just a slice of tabular data with teammates, or create training/testing sets from one TSV. Whether for coding, data science, or documentation, slicing helps simplify the chaos.

Useful Tools & Suggestions:

After you Slice a TSV File to grab just the section you need, Count TSV Rows can help double-check how much data made it through. And if you’re planning more edits, View and Edit TSV gives you a clean space to make quick changes.

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