Hashtag and Mention Extractor

Extract hashtags and @mentions from posts and captions instantly — free online tool.

About

About the Hashtag and Mention Extractor

Paste a post, thread, or caption and get every #hashtag and @mention pulled out as a clean list in one pass — since social copy usually has both mixed together, this extractor matches both symbols at the same time instead of needing two separate runs.

Social media managers use it to collect the hashtags and @handles from a batch of posts, captions or comments in a single pass. It's one of many free text tools on Toolapt, and like every tool here, it's free to use with no sign-up and no limit on how much text you scan.

Choose what to view about this tool

Guide

Using the Hashtag and Mention Extractor

  1. 1

    Step 1

    Hashtags and Mentions is already selected below as the type to find.

  2. 2

    Step 2

    Paste your text into the input box.

  3. 3

    Step 3

    Click Extract to see every matched hashtag and mention listed below, entirely in your browser.

  4. 4

    Step 4

    Copy the list with the Copy button, for reporting or content planning.

  • Finds # hashtags and @ mentions together in a single pass
  • Keeps the # or @ in front, so it's clear which is a hashtag and which is a handle
  • Matches tags and handles made of English letters, numbers and underscores
  • Removes duplicates by default, so a hashtag used ten times is listed once
  • Can sort the list or separate it with commas
  • Works entirely in your browser — nothing you paste is uploaded

Social media managers

Social media managers use the Hashtag and Mention Extractor for collecting every hashtag and handle from a batch of posts or a content calendar.

Marketers

Marketers use the Hashtag and Mention Extractor for seeing which hashtags competitors use across a set of copied posts.

Influencer teams

Influencer teams use the Hashtag and Mention Extractor for gathering the @handles tagged in a campaign's captions.

Community managers

Community managers use the Hashtag and Mention Extractor for listing who was mentioned in a thread or comment export.

Extract something else

Examples

Hashtag and Mention Extractor examples

4 worked examples

01

A social caption

Pasting "Loving this sunset! #travel #sunset thanks @janedoe for the tip" extracts #travel, #sunset and @janedoe as a clean list.

02

A marketing post

Pasting a product launch caption mentioning "#newrelease #sale2026" and "@ourbrand" pulls out both hashtags and the mention in one pass, ready to copy.

03

Mixed hashtags and mentions

A caption reading "Great event @city_council #localnews #community" extracts @city_council, #localnews and #community together, since both symbols are matched at once.

04

An email inside a caption

"Contact jane@example.com #giveaway" extracts @example and #giveaway — the @ inside the email is read as a mention.

FAQ

Frequently asked questions

Quick answers to common questions about the Hashtag and Mention Extractor.

How do I extract hashtags and mentions from text?

Paste your text above, make sure "Hashtags and Mentions" is selected as the type, then click Extract. Every matched hashtag and mention is listed below — nothing is uploaded anywhere.

Is this hashtag extractor free?

Yes. It's free, with no sign-up and no limit on how much text you scan.

Does it extract both hashtags and @mentions at once?

Yes — it's matched for both # hashtags and @ mentions in the same pass, since social copy usually has both mixed together.

Does it work on captions copied from Instagram, X or LinkedIn?

Yes — it matches on the # and @ symbol pattern itself, so it works on plain text pasted from any platform's post or caption.

Can I extract emails, links or other data instead?

Yes — the same tool also finds emails, links, domains, numbers and IP addresses. Switch the type dropdown, or use one of the dedicated extractor pages below.

Is my text uploaded anywhere?

No. Extraction runs entirely in your browser — nothing is sent to a server.

Why does it pick up part of an email address?

It looks for # or @ followed by letters, digits or underscores, so the @example in jane@example.com is listed as a mention. Remove email addresses first, or simply ignore those entries.

Does it work with hashtags in other languages?

Only the English letters A–Z, digits and underscores count, so #café stops at #caf and a hashtag written in Bengali or Arabic isn't found. Plain English hashtags and handles work fully.

Are #Travel and #travel treated as the same hashtag?

No. Duplicates are removed only when they match exactly, so both are kept. Instagram and X treat hashtags as case-insensitive, so lowercase the text first if you want them merged.

Can I see how often each hashtag is used?

Untick "Remove duplicates" to keep every occurrence, and tick "Sort results" so repeats sit next to each other — the tags you used most stand out straight away.

Still have a question? Contact us