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Cleaning Mode
Text Refinement
Case Conversion
Preserve Tags (Comma Separated)
Input Text
0 chars | 0 tags
Result
0 chars | 0 tags removed
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About

Social media platforms have distinct linguistic norms. While Instagram rewards high-density tagging (up to 30 tags), platforms like LinkedIn and Facebook favor clean, narrative-driven prose where hashtags serve as specific topic markers rather than discovery engines. Repurposing content between these ecosystems often requires tedious manual editing.

The Hashtag Remover automates this sanitation process. Beyond simple deletion, it addresses the structural debris left behind - double spaces, broken line breaks, and capitalization errors. It employs advanced Unicode-aware Regular Expressions (RegEx) to identify tags across multiple languages, ensuring that only the intended metadata is stripped while the core message remains intact. This tool is critical for maintaining cross-platform professionalism and improving accessibility for screen readers, which often stumble over heavy hashtag blocks.

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Formulas

The core logic utilizes a Global Unicode Regular Expression to identify valid hashtag strings within the text corpus.

{
tag S if tag matches /#[\p{L}\p{N}_]+/guwhere S is the set of all text segments

When operating in Symbol Removal Mode, the operation is a simple character subtraction:

Tclean = Traw βˆ’ { # }

For Full Tag Removal, we account for surrounding whitespace (w) to prevent double-spacing artifacts:

Tclean = Replace(tag + w, " ")

Reference Data

PlatformMax HashtagsOptimal CountCharacter LimitsBest Practice
Instagram303-5 (In Post) / 30 (In Comments)2,200 charsMix of broad and niche tags. often placed in the "first comment" or separated by line breaks.
LinkedInNo limit3-53,000 charsStrictly professional topics. CamelCase is recommended for accessibility (e.g., #ProductManagement).
Twitter / XNo limit1-2280 charsIntegrated into sentences naturally. High density reduces engagement rates.
TikTokNo limit3-52,200 charsTrending challenges and broad categories (e.g., #fyp).
FacebookNo limit1-263,206 charsRarely used for discovery; primarily for branding or events.
YouTube153-55,000 charsFirst 3 tags appear above the video title. Critical for categorization.

Frequently Asked Questions

Yes. We use Unicode Property Escapes (\p{L}) in our Regular Expressions, meaning hashtags in scripts like Cyrillic, Arabic, Hebrew, Kanji, and accented Latin characters are correctly identified and processed.
If you enable the "Clean Whitespace" option, the tool performs a secondary pass to collapse consecutive spaces (\s+) into a single space and trims trailing whitespace from the ends of lines.
Absolutely. Use the "Preserve Specific Tags" field. Enter the tags you wish to keep (comma-separated), and the algorithm will exempt them from the removal process while stripping everything else.
When converting a hashtag like #marketingstrategy back to plain text, "marketingstrategy" looks unprofessional. Converting it to "Marketing Strategy" or "Marketing strategy" restores readability and grammatical flow.