Pull numeric values from unstructured text for spreadsheets, scripts, or dashboards.

Result

Run the tool to see the result here

Overview

Number Extractor isolates numeric tokens from unstructured text, including negatives and decimals, so you can reuse them without manual cleanup.

Use Cases

Collect metrics from logs and alerts

Pull response times, status counts, or identifiers from monitoring messages for spreadsheet analysis.

Scrape prices or inventory counts

Capture numeric values from content exports or emails before loading them into a database or BI tool.

Normalize user submissions

Extract digits from forms, customer notes, or support tickets while ignoring surrounding prose.

Prepare sample data for tests

Gather numeric examples from documentation to seed automated test cases, fixtures, or mocks.

How to Use

  1. Paste text with numbers

    Provide transcripts, logs, alerts, or documents that contain the numeric values you need.

  2. Run extraction

    Click Extract to list every detected numeric token on its own line in the original order.

  3. Copy numbers downstream

    Copy the output into spreadsheets, scripts, or other tooling for further analysis.

Frequently Asked Questions

What number formats are supported?

Integers and decimals, including negative values, are detected out of the box.

How are thousands separators handled?

If your source data uses commas or spaces as separators, run Remove punctuation or collapse whitespace first to normalize the input.

Will the original order be preserved?

Yes. Numbers appear in the same sequence they were discovered so context can be reconstructed later.

What happens when no numbers are present?

The result will be empty. Combine this tool with Text Analyzer to verify word counts or use Diff Checker to compare alternate inputs.

Related Tools

External Resources