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Text & List Tools · runs locally

Hashtag and Mention Extractor

Extract unique Unicode hashtags and @mentions with occurrence counts while ignoring email-address interiors and repeated casing.

Ready. Your working data stays in this browser.

Why this tool is useful

Use this extractor to audit campaign copy, build tag lists or count repeated social handles without sending draft text to a social platform.

How it works

Boundary-aware Unicode patterns find hash and at-sign tokens, normalize only for deduplication and keep the first spelling used in the source.

Practical example

The sample returns one @YTSave entry with two occurrences, plus separate #LocalTools and #privacy tags, and does not treat @example inside the email as a mention.

Validation

The calculation is deterministic and explains validation errors instead of silently changing invalid input.

Privacy boundary

Input and output remain in this tab. Copy and download happen through browser APIs without a server upload.

Result passport

Every run reports its tool mode, timestamp and input/output size so transformed data can be audited.