Hashtag Extractor
Pull every #hashtag out of pasted text, deduplicated and counted, ready to copy or export.
| Hashtag | Count | Share |
|---|---|---|
| #buildinpublic | 2 | 18.2% |
| #WebDev | 2 | 18.2% |
| #indiehacker | 1 | 9.1% |
| #MondayMotivation | 1 | 9.1% |
| #NextJS | 1 | 9.1% |
| #opensource | 1 | 9.1% |
| #React | 1 | 9.1% |
| #SaaS | 1 | 9.1% |
| #TailwindCSS | 1 | 9.1% |
How the hashtag extractor works
Paste any block of text — a tweet, an Instagram caption, a batch of notes, or a full blog draft — and this tool scans it locally in your browser for every #hashtag. It uses a Unicode-aware pattern so accented and non-Latin hashtags (like #café or #日本語) are matched correctly, not just plain ASCII tags. Matches are deduplicated case-insensitively — #WebDev and #webdev are treated as the same tag — while the first casing seen is kept for display, and every repeat occurrence still increments that tag's count.
Results are sorted by frequency by default so your most-used tags surface first, useful for auditing which hashtags you actually rely on before a social post goes out, or for building a hashtag bank from past captions. Switch to alphabetical order, copy the deduplicated list as a space-separated string ready to paste back into a caption, or export the full breakdown (hashtag, count) as a CSV for spreadsheet analysis. Since everything runs client-side, the text you paste is never uploaded anywhere.
Private & free — this tool runs entirely in your browser.