Updated · Built and checked by the PlinzoTools team, formulas tested against published sources
Generate relevant hashtags from your caption or content by extracting its most frequent significant words.
This tool extracts the most frequently occurring significant words from your text (excluding common filler words) and formats them as hashtags -- a quick starting point for a social media post.
Paste your caption or content, set a max hashtag count, and the hashtags appear instantly, most frequent first.
This generates hashtags from your own text's actual vocabulary -- it doesn't suggest trending or unrelated hashtags. Review the results and mix in a few broader/trending tags manually for best reach.
The generator lowercases your text, splits it into words made of letters, digits, and apostrophes, and removes common filler words such as "the", "with", "and", and "this" from a built-in list of about 130 English function words. The remaining words are counted, sorted from most to least frequent, and the top ones are turned into hashtags up to the maximum you set. Words that tie in frequency keep the order in which they first appeared in your text.
Every hashtag is a single word. The tool never builds multi-word tags like a camel-case phrase, and it never adds words that are not in your text. It does not stem or merge word forms, so "travel" and "traveling" would appear as two separate candidates.
Suppose your caption is: "Exploring the mountains this summer with amazing views and fresh air." After removing filler words such as "the", "this", "with", and "and", the remaining candidates are exploring, mountains, summer, amazing, views, fresh, and air, each appearing once. With a maximum of 5, you would get the first five in text order, since all are tied: #exploring, #mountains, #summer, #amazing, #views. If you had written "summer" three times, it would jump to the front. This tells you something useful: the tool reflects repetition, so a short caption with no repeated words gives an arbitrary-looking list.
Because output is derived only from your own text, it will not recommend trending or niche community tags, and it cannot check whether a hashtag is already used for unrelated or inappropriate content. Search the tag on the platform before you use it. Numbers are treated as words, so a year or a price may show up as a tag such as #2026, which you may or may not want.
Apostrophes stay inside words. A contraction that is not on the filler list could therefore become an odd tag, so scan the output and delete anything that reads badly. Words with hyphens are split, so "well-known" becomes two separate candidates.
It is best used as a brainstorming step. Generate a list, prune it, add a few community or brand tags of your own, and check the final set with the Hashtag Counter and Analyzer to make sure it fits the platform's limits. That workflow takes seconds and keeps your tags grounded in what your post actually says.
Depends on the platform -- see the Hashtag Counter & Analyzer for platform-specific limits (e.g. Instagram's 30-hashtag cap).
They are sorted by how often each word appears. When every word appears once, they all tie and stay in the order they first showed up in your text.
No. Each tag is one word from your text. You can combine words manually if you want a phrase tag.
Digits count as word characters, so years, prices, or counts in your text can be selected if they repeat or fit within your maximum.
The maximum field is set to allow between 1 and 30, but the tool can only return as many tags as there are distinct non-filler words in your text.
Reference: Google Search Central