Hashtag Extractor
Professional social media tool to extract, clean, sort, and analyze hashtags from any text. Includes duplicate removal, Instagram limit checks, and multi-format export.
About
Hashtag usage is a critical component of Social Media Optimization (SMO). While platforms like Instagram and LinkedIn rely heavily on tagging for discovery, managing these tags manually is prone to error. The Hashtag Extractor is designed for professional Social Media Managers who need to audit competitors, recycle high-performing tag clouds, or clean up messy captions.
This tool goes beyond simple regex matching. It applies a multi-stage normalization pipeline: tokenization, unicode sanitization, deduplication, and platform-specific validation. It automatically flags when tag counts exceed platform limits (e.g., limit > 30 for Instagram) and offers granular sorting options to optimize tag placement strategy.
Formulas
The extraction engine operates on a strict pipeline model. The input text T is processed through a unicode-aware tokenizer function f.
Where Unique removes duplicates such that nfinal ≤ ninitial. The density D of hashtags within the text is calculated as:
Reference Data
| Platform | Max Hashtags | Optimal Count | Character Limit | Hidden Shadowban Risk |
|---|---|---|---|---|
| Instagram (Post) | 30 | 3 - 5 (or 30) | 2,200 | High (Banned Tags) |
| Instagram (Story) | 10 | 1 - 3 | N/A | Medium |
| TikTok | Unlimited | 3 - 5 | 2,200 (Caption) | Medium |
| Unlimited | 3 - 5 | 3,000 | Low | |
| Twitter / X | Unlimited | 1 - 2 | 280 | Low |
| Unlimited | 2 - 3 | 63,206 | Low | |
| YouTube (Desc) | 15 | 3 - 5 | 5,000 | Medium |
| 20 | 2 - 5 | 500 | Low |