Filter Numbers

Extract only the numbers from mixed text, or filter a list of numbers by conditions like range, divisibility, even/odd, or comparison operators. Separates numeric data from non-numeric content.

Input Numbers
Options
Number Filter Criteria
Lower Bound.
Upper Bound.
Multiples and Divisors
Pick all numbers that are multiples of n.
Enter the multiple number (n).
Pick all numbers that are divisors of m.
Enter the number divisor (m).
Number Delimiter and Sorting
Input number delimiter. (By default a new line.)
Filtered number delimiter. (By default a new line.)
Sort filtered numbers from the smaller to largest.
Output (Filtered Numbers)

What It Does

Extract only the numbers from mixed text, or filter a list of numbers by conditions like range, divisibility, even/odd, or comparison operators. Separates numeric data from non-numeric content.

How It Works

Filter Numbers keeps only the numbers that meet your condition. That means the quality of the result depends on how precisely the matching rule lines up with the structure of the input.

Filtering lives and dies by the matching rule. If too much or too little passes through, the issue is often the condition itself rather than the output stage.

All processing happens in your browser, so your input stays on your device during the transformation.

Common Use Cases

  • Extract phone numbers, prices, or IDs from unstructured text
  • Filter a number list to show only values above a threshold
  • Keep only even or odd numbers from a dataset
  • Remove outliers by filtering to a specific range
  • Extract numeric values from log files or reports

How to Use

  1. Enter text containing numbers or a list of numbers.
  2. Set filter criteria (range, even/odd, comparison).
  3. Click Filter.
  4. Copy the filtered results.

Features

  • Extract numbers from mixed text
  • Filter by range (min-max)
  • Filter by even/odd/prime
  • Comparison operators (>, <, >=, <=, =)
  • Handles integers and decimals

Examples

Below is a representative input and output so you can see the transformation clearly.

Input
2 3 4 5 6 7 8 9
Output
Even numbers: 2 4 6 8

Edge Cases

  • Very large inputs can still stress the browser, especially when the tool is working across many numbers. Split huge jobs into smaller batches if the page becomes sluggish.
  • Empty or whitespace-only input is technically valid but may produce unchanged output, which can look like a failure at first glance.
  • If the output looks wrong, compare the exact input and option values first, because Filter Numbers should be repeatable with the same settings.

Troubleshooting

  • Unexpected output often means the input is being split or interpreted at the wrong unit. For Filter Numbers, that unit is usually numbers.
  • If a previous run looked different, check for hidden whitespace, changed separators, or a setting that was toggled accidentally.
  • If nothing changes, confirm that the input actually contains the pattern or structure this tool operates on.
  • If the page feels slow, reduce the input size and test a smaller sample first.

Tips

To extract all numbers from a block of text (like a report), leave the filter criteria empty. The tool will pull out every numeric value it finds.

Extracting and Filtering Numbers

Text data often contains numbers mixed with words, punctuation, and formatting. This tool scans text and extracts every numeric value, optionally filtering them by criteria you specify. From "Order #4521: 3 items at $29.99 each, total $89.97," the tool extracts 4521, 3, 29.99, and 89.97.

Filter Conditions

Beyond extraction, you can filter numbers by mathematical properties. Keep only values between 10 and 100. Show only even numbers. Remove everything below a threshold. These filters are useful for data cleaning — removing noise, identifying outliers, or selecting a relevant subset.

Data Cleaning Workflow

A typical workflow: paste raw text → extract all numbers → filter by range to remove obvious errors → sort the remaining values → analyze. This sequence transforms messy input into clean numeric data in a few steps, each handled by a dedicated tool.

Frequently Asked Questions

Does it extract negative numbers?

Yes. Numbers preceded by a minus sign are extracted as negative values.

How does it handle numbers with commas?

Numbers with thousands separators (1,000) are recognized as single numbers. The commas are removed in the output.

Can I filter by multiple conditions?

Yes. Combine conditions like 'greater than 10 AND even' to apply multiple filters simultaneously.

Does it extract numbers from formatted text like currency?

Yes. $29.99, €15, and £100 are extracted as 29.99, 15, and 100 respectively. Currency symbols are stripped.

Can I keep the numbers in their original positions?

The default output is a clean list of numbers. If you need to see their positions, the tool can show the character offset of each extracted number.

What about scientific notation?

Numbers in scientific notation (1.5e10, 3.2E-4) are recognized and extracted correctly.