Slice CSV lets you extract specific rows from any CSV file. Define start and end row numbers, keep headers if needed, and preview the sliced result instantly.
How to Use:
- Paste your CSV into the Input CSV box or use Choose File to import a compatible file.
- Set the Start row and End row numbers in the Options box. These are zero-based indexes (e.g. 0 = first row).
- Enable Keep header row to always include the first line as column headers in the output.
- Use Maximize output to expand the output box for easier reading.
- The sliced result will update live in the Sliced Output box.
- Use Copy Output to copy the result or Export to File to download it as a CSV.
- The Total characters counter updates in real time.
- Press Clear All to reset input, output, controls, and preview.
What Slice CSV can do:
Slice CSV gives you precise control over extracting subsets of data from a CSV file. You can keep or remove the header row, select any row range, and instantly see what’s returned. It’s ideal for previewing data, trimming long datasets, or exporting just a portion of a file. Everything updates as you change values, and export is just a click away.
Example:
Input CSV:
Name,Age,City
Alice,30,New York
Bob,27,London
Charlie,33,Sydney
Dana,25,Berlin
Eli,29,Tokyo
Start row: 1, End row: 3 (with header):
Name,Age,City
Bob,27,London
Charlie,33,Sydney
Without header:
Bob,27,London
Charlie,33,Sydney
Common Use Cases:
Perfect for sampling data, splitting large CSV files into smaller parts, removing early or late rows, or preparing test datasets. Especially useful when working with exports, APIs, or file segments that need clean slicing and no manual editing.
Useful Tools & Suggestions:
Before slicing, use Find CSV Dimensions to understand your row and column limits. And if you’re extracting pieces to compare, Diff Two CSV Files can show you what changed between versions.