Find and count hashtags in social media drafts. Measure total hashtags, unique tags, duplicates, density, invalid tags, and platform-friendly hashtag usage.
This tool turns raw text into a focused hashtag counter report with counts, ratios, quality scoring, and practical interpretation.
Best results come from complete text samples. Very short inputs can create unstable ratios and should be interpreted carefully.
Example input: “SEO writing needs clear keywords, useful links, and clean formatting. #SEO #writing 😊” The result shows counts, top items, ratios, and a quality interpretation.
The Hashtag Counter runs locally in the browser. It does not require server processing for ordinary pasted text and produces the report immediately.
Pattern-based text analysis is fast, but it may not replace manual editorial judgment, full SEO research, HTML validation, or live link crawling.
Paste your text, adjust the options, and run the analysis. The result card shows counts, ratios, a quality score, and export-ready output.
Yes. You can copy the output or download TXT, CSV, and JSON files directly from the result card.
Yes. The layout is responsive and the text area, buttons, result card, and export actions are designed for mobile browsers.
The analysis is designed to run in the browser for ordinary pasted text, so the tool can process results immediately without server-side calculation.
Small samples can make one repeated item look disproportionately large. Use complete paragraphs or full drafts for more reliable ratios.
| Module | Purpose |
|---|---|
| Input Parser | Reads pasted text and uploaded files. |
| Analyzer | Calculates counts, ratios, and frequency data. |
| Quality Score | Summarizes result quality from 0 to 100. |
| Export | Creates TXT, CSV, and JSON output. |