🔢 Number Extractor
Extract all numbers from text with support for integers, decimals, percentages, and various formats
Your Result:
Found 8 Numbers in Text
Integers, decimals, and percentages extracted
📝 Example Input Text
🎯 Extracted Numbers (8 found)
📊 Available Output Formats
Line-separated
Comma-separated
Structured data
How to Use This Number Extractor
The Number Extractor makes it easy to find and extract all numbers from any text document, webpage content, or data dump. Perfect for data analysis, research, and content processing tasks.
- Paste Your Text: Copy and paste your text containing numbers into the input field. The tool works with any text format including documents, web content, reports, or data files.
- Choose Number Types: Select which types of numbers to extract - all numbers, integers only, decimals, currency values, percentages, or positive numbers only. This helps filter out unwanted data.
- Select Output Format: Choose how you want the results displayed - simple list, comma-separated for spreadsheets, JSON with metadata, or CSV format for data analysis.
- Configure Options: Enable sorting to arrange numbers numerically, remove duplicates to get unique values only, or include context to see surrounding text for each number.
- Extract Numbers: Click "Extract Numbers" to process your text. The tool will find all matching numbers and display them in your chosen format.
- Copy or Download: Use the copy button for quick clipboard access, or download results as a text file, CSV for spreadsheets, or JSON for programming use.
The tool handles various international number formats, currency symbols, scientific notation, and numbers embedded within text, making it perfect for processing complex documents and extracting structured data.
How It Works
The Number Extractor uses advanced pattern recognition to identify and extract numeric values from text with high accuracy and flexibility.
- Text Analysis: The tool scans your input text using comprehensive regular expressions that recognize various number formats including integers, decimals, scientific notation, percentages, and currency values.
- Pattern Matching: Multiple extraction patterns identify numbers with different formatting including thousand separators (1,234), decimal points (12.34), negative signs (-45), percentage symbols (15%), and currency symbols ($29.99).
- Format Detection: The system automatically detects international number formats like European notation (1.234,56) and preserves context information about how numbers appeared in the original text.
- Filtering & Processing: Based on your selected options, the tool filters results by number type, removes duplicates, sorts numerically, and adds contextual information from surrounding text.
- Output Generation: Results are formatted according to your specifications - whether as simple lists, structured JSON with metadata, or CSV format ready for spreadsheet applications and data analysis tools.
- Quality Assurance: The tool validates extracted numbers, handles edge cases like scientific notation and complex formatting, and provides accuracy indicators to help you assess the extraction quality.
This client-side processing ensures your data remains private while providing professional-grade number extraction capabilities for research, analysis, and data processing tasks.
When You Might Need This
- • Extract prices from product descriptions and sales copy
- • Parse financial data from reports, invoices, and spreadsheet text
- • Find measurement values in scientific papers and technical documentation
- • Extract statistics and metrics from research articles and surveys
- • Parse inventory numbers, stock counts, and quantity data from text
- • Find temperature readings, sensor data, and scientific measurements
- • Extract phone numbers, postal codes, and ID numbers from documents
- • Parse coordinates, distances, and geographic measurements from text
- • Find percentages, ratios, and statistical data from analytical reports
- • Extract model numbers, serial numbers, and technical specifications
Frequently Asked Questions
What types of numbers can the extractor find?
The tool can extract integers (123), decimals (12.34), negative numbers (-45), percentages (15%), currency values ($29.99), scientific notation (1.23e4), and numbers with various separators like commas (1,234). It supports multiple international number formats including European decimal notation (1.234,56) and can handle numbers embedded within text, symbols, and formatting.
How does the tool handle different number formats and locales?
The extractor recognizes multiple international formats including US format (1,234.56), European format (1.234,56), and various currency symbols ($, €, £, ¥). It can identify numbers with thousand separators, different decimal point styles, and numbers formatted with units, percentages, or measurement symbols. The tool automatically detects and preserves the original formatting context when requested.
Can I extract only specific types of numbers from my text?
Yes, you can filter by number type including integers only, decimals only, positive numbers, currency values, or percentages. The tool also allows you to sort results numerically, remove duplicates, and include surrounding text context for each found number. These filtering options help you focus on exactly the data you need from complex documents.
What output formats are available for the extracted numbers?
The tool provides multiple output formats: simple list (one per line), comma-separated values for spreadsheets, space-separated for programming, JSON format with metadata and context, and CSV format ready for Excel. Each format includes options for sorting and deduplication, making it easy to integrate the results into your workflow.
How accurate is the number extraction, and what are the limitations?
The tool uses comprehensive regular expressions to achieve high accuracy in number detection, correctly handling edge cases like negative numbers, scientific notation, and numbers with formatting. However, it may occasionally extract false positives from dates, version numbers, or codes that aren't meant as numeric data. For best results, review the extracted numbers and use the filtering options to refine your results.