Extract Numbers from Text

This parsing utility employs regex patterns and natural language processing to identify and extract numerical values embedded within unstructured text, isolating integers, decimals, phone numbers, dates, currency amounts, or scientific notation from surrounding prose. The extractor handles various number representations including comma separators, decimal points, percentage signs, currency symbols, and ordinal suffixes, returning clean numeric lists suitable for mathematical analysis, data entry, or spreadsheet population.

Processing applies configurable extraction rules: capturing only standalone numbers versus embedded digits within alphanumeric strings, recognizing comma-thousand separators versus decimal indicators accounting for international notation differences (European versus American conventions), identifying ranges (10-20) as separate values or unified entries, and distinguishing phone numbers from ID codes through pattern matching heuristics. Users customize extraction through format filters selecting specific number types (integers, floats, dates, percentages), preview highlighted matches within source text context before extraction, and export results as structured lists, comma-separated values, or JSON arrays for programmatic consumption.

Common applications include processing invoices extracting amounts and dates for accounting software import, analyzing survey responses isolating numerical ratings from open-text feedback, mining documents for statistical data compilation, or cleaning web-scraped content separating pricing information from descriptive text. Educational uses demonstrate regex pattern construction and text parsing principles. The tool handles large documents without performance degradation, supports batch file processing, integrates clipboard operations for rapid text import/export, and validates extracted numbers flagging anomalies or malformed values requiring manual review.