Pattern Entity Extractor guide
Find candidate email addresses, HTTP URLs, hashtags, mentions, and ISO-like dates with explicit local patterns.
What this tool does
The Pattern Entity Extractor scans text with regular-expression rules for five visible structures. It recognizes email-like values with a domain suffix, URLs beginning with http:// or https://, whitespace-delimited hashtags and mentions, and date-like values written as YYYY-MM-DD. Duplicate matches in each group are removed while the first displayed spelling is retained.
This is pattern matching, not semantic named-entity recognition. It does not identify people, companies, locations, products, medical concepts, or meaning from context. A pattern match is only a candidate: an email can be syntactically plausible but nonexistent, a URL can be unsafe, and 2026-99-99 matches the date shape even though it is not a valid calendar date.
URL cleanup removes selected trailing sentence punctuation. Complex parentheses, internationalized addresses, unusual but valid email syntax, punctuation adjacent to tags, or custom application identifiers can still be missed or overmatched.
How to use it
- Paste the authorized text you want to scan.
- Select Extract pattern matches.
- Review counts and values in each category.
- Copy all matches when a plain newline-separated list is useful.
- Validate every candidate before contacting, opening, importing, or publishing it.
For large mixed documents, scan logical sections separately and keep the source context available. Context determines whether a matched value belongs to a signature, quotation, example, obsolete record, or active instruction.
Benefits
- Finds five common visible data shapes
- Removes exact duplicates within each category
- Shows grouped counts and individual values
- States the patterns and limitations directly
- Keeps potentially private source text on the device
Privacy and responsible use
An extracted email, mention, or URL can be personal data. Having access to text does not automatically grant permission to build a contact list, send marketing, profile individuals, or republish identifiers. Follow consent, privacy, communications, and data-retention requirements that apply to the source and jurisdiction.
Never assume a matched link is safe. Inspect its destination and use appropriate security controls before opening unfamiliar URLs. Do not use this output as the sole basis for moderation, identity matching, legal discovery, or decisions affecting a person.
Practical notice: Results are unverified pattern candidates, not validated identities, safe destinations, or consent to use personal data.