Subtract Integers

The Subtract Integers tool subtracts whole numbers from each other, either cumulatively (running mode) or all at once from the first value. It’s a fast, browser-based tool for processing lists of values, calculating differences, or testing math logic.

You can paste integers directly or import them from a file. The tool handles negative numbers and gives you full control over how the subtraction is applied.

Paste your input above or import a file below.
No file chosen
Supported file types: .txt, .csv, .tsv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
Total valid integers: 0
Options
Ignore non-integers
Running subtraction mode
Maximize output

How to Use:

  • Paste integers (one per line or space/comma-separated) into the Input Integers box
  • Or use Choose File to import a plain-text list
  • Toggle Ignore non-integers to skip invalid entries or leave them in the output
  • Use Running subtraction mode to subtract values one by one (e.g., 100 – 10 – 5…)
  • Leave running mode off to subtract the sum of all later values from the first (e.g., 100 – (10 + 5))
  • Toggle Maximize output to enlarge the output box
  • Click Subtract to process your input (or type/edit it updates live)
  • Use Copy Output or Export to File to save results
  • Click Clear All to reset everything and start over

What Subtract Integers can do:

This tool lets you subtract integers quickly and flexibly. Use it to calculate reductions, process datasets, or validate subtraction logic. It’s perfect for batch math on sequences of numbers, and everything updates in real time with no network delay.

Example:

Input:

100
20
10

Running Mode ON:

100
80
70

Running Mode OFF:

70

Common Use Cases:

Use this tool to handle column subtraction, evaluate budget differences, break down resource consumption, or simplify repetitive math. It’s useful for teachers, developers, students, and anyone working with numeric sequences.

Useful Tools & Suggestions:

After using Subtract Integers, try Divide Integers if you want to explore how those same values behave under different operations. You could also run Find the Running Total to compare the overall shift in values across your data.

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