Clean Text Tools

Remove Hashtags

Remove social hashtags entirely or strip only the # symbol—clean captions before republishing or analyzing tone.

Remove Hashtags

Remove, extract, sort, or analyze hashtags with live frequency stats.

Live
Hashtag modes
List options
0 Hashtags found
0 Unique hashtags
0 Characters removed
— Most used hashtag
0% Reduction %
— Active mode

Paste or type text containing hashtags to clean.

Captions, posts, exports, or chat paste
Cleaned text or extracted hashtag list

Your text stays in your browser — nothing is uploaded.

Example

Before

Great day! #summer #travel #vacation #travel

After (remove)

Great day!

After (hash-only mode)

Great day! summer travel vacation travel

After (frequency view)

summer (1)
travel (2)
vacation (1)

How to Use

  1. Paste captions, posts, or exports containing hashtags.
  2. Select a hashtag mode — remove, hash-only, extract, frequency, plain words, dedupe, or sort.
  3. Enable list options for extract and frequency modes when you need unique or sorted output.
  4. Review live stats and top hashtags, then copy or download the cleaned result.

Common Hashtag Problems

Instagram captions

Posts end with long blocks of promotional and discovery hashtags.

TikTok descriptions

Short-form video exports mix trending tags with caption text.

X/Twitter posts

Threads and retweets carry campaign tags and topic hashtags inline.

Chat exports

Social chat logs paste with hashtags mixed into conversation text.

Social media datasets

Research corpora need tag noise removed before readability analysis.

AI-generated captions

ChatGPT and AI tools often append suggested hashtag blocks to outputs.

Hashtag Modes Explained

Remove hashtags

Delete the full #tag token and clean up leftover spacing.

Remove # only

Strip the octothorpe but keep the tag word in place as plain text.

Extract hashtags

Output a comma-separated list of every tag found in your paste.

Frequency view

Show how often each tag appears — travel (5).

Sort alphabetically

Reorder hashtags in the original text from A to Z.

Remove duplicates

Keep the first occurrence of each tag and remove repeated hashtags.

Before and After Examples

Mode Before After
Remove #travel #summer —
Hash only #travel travel
Extract Text #travel #food travel, food
Duplicates #food #food #food
Sort #zebra #apple #apple #zebra
Frequency #food #food food (2)

Why Remove Hashtags?

Hashtags help discovery on social platforms but add noise when republishing, analyzing, or preparing text for other channels.

Social media cleanup

Strip tags before cross-posting captions to blogs or newsletters.

Blog republishing

Convert social posts into readable prose without tag clutter at the end.

Research datasets

Prepare qualitative corpora for coding and sentiment analysis.

Readability improvement

Remove tag noise so readability scores reflect actual prose.

AI text cleanup

Strip suggested hashtag blocks from ChatGPT and AI-generated captions.

Export preparation

Normalize social exports before importing into CMS or spreadsheet tools.

Hashtag Types Explained

Regular hashtags

Standard word tags used for topics and discovery.

#travel

Numeric hashtags

Year and number tags common in campaigns and events.

#2026

CamelCase hashtags

Multi-word tags written in camel case for readability.

#SummerVacation

Unicode hashtags

Tags with accented and non-Latin characters.

#café

Mixed hashtags

Tags combining letters and numbers in challenge formats.

#100DaysOfCode

Social Platform Examples

Instagram

Captions often end with 10–30 discovery tags like #photography #travel #wanderlust.

TikTok

Descriptions mix trending tags such as #fyp #viral #tiktok with short captions.

X/Twitter

Posts use inline topic tags like #breaking #news and event hashtags.

Threads

Conversation-style posts carry topic tags similar to Instagram and X.

LinkedIn

Professional posts use industry tags like #marketing #leadership #hiring.

Notes & Limitations

Popular Workflows

Frequently Asked Questions

What is hash-only mode?

Hash-only mode removes the # symbol but keeps the tag word — so #travel becomes travel in your text.

Can I extract hashtags only?

Yes. Select Extract hashtags only to output a comma-separated list of every tag found in your paste.

Are Unicode hashtags supported?

Yes. Tags with accented and non-Latin characters like #café are detected using Unicode letter matching.

Do numbers inside hashtags work?

Yes. Numeric and mixed tags such as #2026 and #100DaysOfCode are supported.

Can I remove duplicates?

Yes. Use Remove duplicates mode to keep the first occurrence of each tag in text, or enable the list option in extract mode.

Can I sort hashtags alphabetically?

Yes. Sort hashtags alphabetically mode reorders tags in your text, or enable the sort option for extract output.

Will emojis affect detection?

Emojis next to hashtags do not break detection. Tags are matched by the # prefix and following letters or numbers.

Can I preserve hashtag order?

Yes. Enable Preserve original order in extract or frequency modes to keep tags in the order they first appear.

Can I count hashtags?

Yes. Frequency view shows how many times each tag appears, and live stats display totals and top hashtags.

Is my text uploaded?

No. All hashtag processing runs entirely in your browser using JavaScript. Your text never leaves your device.