Buried within emails, reports, log files, and web pages are numbers that hold critical information. Manually scanning paragraphs to find each number is tedious and error-prone. This tool scans any text and extracts every numeric value in milliseconds.
The Number Extractor uses pattern matching to identify and extract all numeric values from unstructured text. It finds integers, decimal numbers, and negative values regardless of their position in the text.
Extracts integers, decimals, and negatives. Shows total and unique counts. Displays numbers as tagged items. One-click copy. Handles large text blocks. Runs entirely in your browser.
The tool applies a numeric pattern matcher scanning every character. It identifies sequences of digits, optionally preceded by a negative sign and containing a decimal point. Each match is captured as a complete number.
Financial analysts extract transaction amounts from bank statements. QA engineers extract error codes from server logs. Researchers mine measurement data from papers. E-commerce teams extract prices from competitor listings.
Manual extraction from a 500-word email takes 2-3 minutes and risks missing values. This tool completes the same task in under a second with zero missed numbers.
Data analysts, financial professionals, developers debugging logs, researchers extracting quantitative data, and marketers pulling metrics from report emails.
Paste text containing numbers. All numbers are instantly identified, counted, and displayed. Click copy to get them separated by line breaks — ready for Excel.
For comma-formatted numbers, remove commas first using find-and-replace. Cross-reference extracted count with expected values for completeness verification.
The tool extracts numeric characters without interpreting context. Written-out numbers are not converted to digits. Currency symbols are not included in extracted values.
The tool extracts integers (42), decimals (3.14), and negative numbers (-7). It recognizes numbers embedded within text, surrounded by punctuation, or standing alone.
Yes. Decimal numbers like 3.14 and 99.99 are extracted as complete decimal values, not split at the decimal point.
Yes. Paste invoice text or financial reports and the tool extracts all numeric values — totals, tax amounts, reference numbers, and quantities for reconciliation.
Comma-separated numbers may be extracted as individual segments. For best results with comma-formatted numbers, use find-and-replace to remove commas first.
Yes. The tool shows both total count and unique count. Duplicate numbers are identified so you can see which values appear multiple times.
Absolutely. After scraping product pages, paste the content to quickly isolate all numeric values — prices, ratings, review counts.
The tool extracts standard Arabic numerals (0-9). It does not convert written-out numbers like 'forty-two' into digits.
The tool extracts all numbers. For selective extraction, look for patterns near specific symbols in your original text.