Phone Number Extractor

This tool scans input text to identify strings that match common phone patterns and formats across jurisdictions. It returns a list of matched numbers and can normalize to a standard form such as E.164. It is intended for content editors, data scientists, customer support teams, and compliance analysts who need to extract contact numbers from emails, reports, logs, support chats, or CRM exports.
Conceptually, extraction relies on regular expressions designed for broad coverage (country prefixes, spaces, dashes, parentheses). The tool normalizes numbers to a consistent representation, removes extraneous characters, and deduplicates when requested. It does not resolve or validate ownership, nor does it fetch numbers from external sources.
Value & use cases include data cleansing, list building, deduplicated contact inventories, QA checks on content, and audit trails for compliance. Unique differentiators include configurable formatting rules, in-memory processing (no data sent to external services by default), and ready export options such as JSON or CSV that integrate with downstream pipelines.
Core features and behavior: Input accepts text; Outputs provide the extracted numbers and a count; Advanced options include formatting templates, deduplication, and locale-aware parsing. When input contains no numbers, the tool returns an empty set without errors.