Hashtag Extractor

Extract every hashtag from captions, transcripts, or research docs, dedupe them, and see frequency counts instantly.

Input

Handles multi-paragraph posts, emojis, and multilingual characters without breaking the extraction.

Collapse duplicates when exporting your clean list.

Lowercase hashtags so scheduling tools treat them consistently.

Filter out one-letter typos or filler tags.

Use this free Hashtag Extractor to extract hashtags from any text.

About the Hashtag Extractor

The Hashtag Extractor organizes captions, briefs, and community transcripts so social and community teams see every hashtag in one place. It isolates valid tags, removes duplicates, standardizes casing, and surfaces frequency totals before you publish or report on a campaign.

How the hashtag extractor works

A single global regular expression, /#([\p{L}\p{N}_]{1,100})/giu, sweeps the pasted text. The tag body accepts any Unicode letter or digit plus underscore, so accented, Cyrillic, Greek, Arabic and CJK hashtags survive intact; a hyphen, period, space or emoji ends the tag. Each match is lowercased first when normalization is on, then measured in code points rather than UTF-16 units before the minimum-length cutoff (clamped to 1–64) applies. Deduplication uses a Set that preserves first-appearance order, and the frequency report sorts by count descending with an alphabetical tiebreak. Everything runs in your browser.

Why Social Teams Use This Extractor

Handles multi-paragraph posts, emojis, and multilingual characters so mixed formatting never blocks parsing.
Automatically deduplicates and lowercases (when enabled) to create scheduler-friendly lists.
Highlights frequency counts so you can spot overused or trending tags across long documents.
Runs entirely in the browser, keeping embargoed copy and private community data on your device.

How to Use the Hashtag Extractor

1

Paste any caption, contest submission, comment export, or transcript that contains hashtags.

2

Toggle whether to normalize casing or keep stylized tags, and decide if you only want unique results.

3

Set the minimum hashtag length to filter accidental one-letter tags or branded abbreviations.

4

Run the extractor to review totals, a copy-ready list, and the frequency report, then export what you need.

Common Mistakes to Avoid

Forgetting to include the leading # in keywords—without it, the extractor treats the word as plain text.
Setting the minimum length too high and filtering useful short tags like #ai or #ux.
Leaving normalize case off when downstream automation expects lowercase hashtags.

Example Scenarios

Collect hashtags from user-generated contest submissions to see which branded tags resonated.
Audit three months of Instagram captions to identify overused or missing campaign tags.
Extract hashtags from webinar chat logs before repackaging quotes for social.

See also

  • Tweet Length Checker — Once you know which hashtags you are keeping, check whether the post plus those tags still fits the character limit.
  • Remove Duplicate Lines — Handy when you merge several exported hashtag lists and need to collapse the repeats across all of them.

FAQ

Does it remove duplicates automatically?

Yes. With 'Show unique hashtags only' enabled, repeated tags collapse in the export list while the frequency report still shows exact counts.

Can I keep stylized casing such as #GoTeam?

Disable normalize case to keep every hashtag exactly as it was written.

How much text can I paste at once?

Thousands of characters—entire transcripts, CSV exports, or multiple captions pasted together.

Is any text uploaded or stored?

No. Everything processes in your browser so campaign copy and chat logs never leave your device.