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Number Extractor

Extract numbers from any text online. Free number extractor that finds integers, decimals, and numeric values from mixed content.

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About Extract Numbers

Extract all numbers from text. Optionally include decimals and negative numbers. Also calculates sum, average, min, and max of extracted values.

How to Use Number Extractor

1

Paste your text

Drop in any content that contains numbers — documents, articles, reports, scraped data, anything.

2

Choose extraction type

Pick the filter that matches what you need: all numbers, decimals only, integers only, currency, percentages, or phone numbers.

3

View extracted numbers

The tool produces a list of numbers, optionally sorted, deduplicated, or formatted. The output is easy to copy and reuse.

4

Use in your work

Apply the results to data analysis, contact extraction, financial reports, statistical work, or automation pipelines.

When to Use Number Extractor

Data extraction from text

Reports, invoices, and articles tend to mix numbers with prose, and the tool pulls them out cleanly. This is the bread and butter of data pipelines, automated processing, and financial analysis.

Phone number extraction

Documents that contain phone numbers in different formats are common, and the tool identifies the numeric patterns regardless of how they are written. Contact list building, lead generation, and CRM data imports all start with this kind of extraction.

Statistical extraction

Research papers and reports embed statistics throughout the text. Extracting those numbers is the first step toward meta-analysis, building data tables, and tracking citations, and researchers and analysts use this kind of tooling regularly.

Inventory and product data

Product descriptions are dense with prices, quantities, dimensions, and model numbers. Pulling out specific number types makes e-commerce data extraction and inventory systems much easier to build.

Number Extractor Examples

All numbers

Input
Sales were $50,000 in 2024, up 15% from 2023.
Output
[50000, 2024, 15, 2023]. Or with formatting: [$50,000, 2024, 15%, 2023]

Every numeric value gets extracted, and the tool handles integers, decimals, percentages, and currency. This is the right choice when you want to capture all numerical data from prose.

Phone number patterns

Input
Call (555) 123-4567 or 800-555-0199
Output
[(555) 123-4567, 800-555-0199]. Phone-formatted numbers identified.

Pattern-based extraction recognizes parenthesized area codes, hyphenated phone numbers, and international formats. It is the standard approach for contact extraction.

Currency only

Input
$50, €30, ¥5000, £25
Output
[$50, €30, ¥5000, £25]. Or numerical values only: [50, 30, 5000, 25]

Filtering by type narrows the output to currency values, which works well for financial data extraction and expense tracking from documents.

Tips & Best Practices for Number Extractor

  • 1.Specify the number type when you can. Phone numbers and 'all numbers' produce very different output, and filtering by pattern saves a lot of manual cleanup.
  • 2.Mind the formatting. The US writes 1,000, Germany writes 1.000, and France writes 1 000 — all the same number. The tool may need locale-aware parsing.
  • 3.Context matters. The number 12 in 'page 12' is not the same as the 12 in 'item 12 dollars'. The tool extracts; you decide what each number means.
  • 4.For phone numbers specifically, libphonenumber is the right library. Country formats vary too much for plain pattern matching to handle international numbers reliably.
  • 5.Strip noise before extracting. Line numbers, page numbers, and metadata are not real data, and the tool may let you ignore certain patterns.
  • 6.Verify the output. Automatic extraction misses some numbers and produces false positives, so a manual review pays off when the data is critical.

Frequently Asked Questions

The tool handles integers (123), decimals (3.14), negative numbers (-42), percentages (50%), currency ($25, €30), scientific notation (1e5), thousands separators (1,000), and various other number-like patterns. Most implementations cover the common formats out of the box.

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