Hashtag Generator
Generate hashtags sorted into broad, mid and niche tiers instead of one undifferentiated block of thirty. The tags are not interchangeable, which is what makes the usual single block the least useful shape they could take. This one explains what each tier is actually for, weights the set toward the middle where a small account has a real chance, and separates the platform limits that are real rules from the ones that are only advice.
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Add to Chrome — freeInstagram accepts up to 30 hashtags per post and ignores any beyond that.
What it does
- Suggestions grouped into broad, mid and niche reach tiers
- Set deliberately weighted toward mid and niche, not broad
- Per-platform limits, labeled as enforced rules or conventions
- Filler words reported rather than silently turned into useless tags
- Optional AI pass for community tags your own words cannot produce
How to use Hashtag Generator
- 1
Describe the post
A few real words about the subject. Include the place if there is one — place-qualified tags are usually the most valuable niche tags available, because local intent is much less contested than a generic topic.
- 2
Pick the platform
The count changes with it, and so does the meaning of the count. Instagram's 30 and YouTube's 15 are limits the platforms enforce; the TikTok and X numbers are marked with an asterisk because they are our recommendation, not a published rule.
- 3
Read the tiers before copying
Each group has a one-line explanation of what it is for. The broad tags feel like the productive ones and do the least work, which is the specific mistake worth avoiding — copy the mid and niche groups first.
- 4
Copy a tier or the whole set
Each tier has its own copy button as well as the copy-all, so you can take just the niche tags for one post and a wider mix for another without editing a list by hand.
How it works
Your topic is split into words, and the filler is removed: stopwords, plus the search-intent words people habitually type into a topic box. What remains are the keywords everything else is built from, and they are listed back to you so a thin result has a visible cause.
From those keywords the tool builds four kinds of candidate. Single words, which are the broadest form available. Compounds of adjacent words — adjacency matters, because "landscape photography" is a phrase people follow while an arbitrary pairing of the first and last word usually is not. The whole topic joined, which is necessarily the narrowest form. And the keywords extended with a curated list of community suffixes and prefixes.
Tiering follows from that structure rather than from a lookup. A compound's audience is a subset of each of its parts' audiences, so a compound is mathematically narrower than either word alone. Single words are broad, compounds and single-word community tags are mid, and compound community tags and the full phrase are niche.
The set is then filled to a target mix of roughly 20% broad, 50% mid and 30% niche. Broad tags are capped low deliberately, because they are the ones that feel most productive to add and do the least. If a tier runs out — a one-word topic produces no compounds at all — the shortfall is redistributed across the others rather than returning a partial set.
The ordering detail that matters most
Community suffixes are applied across every keyword in turn, not exhausted on the first one. The naive loop produces, for "cold brew coffee at home", fourteen variations on "#cold" — #coldlovers, #coldaddict, #coldvibes — and not one mentioning coffee. It fills the quota while covering almost none of the subject.
Which keyword gets priority is decided by a rough proxy: a word's length plus its position. English noun phrases put the head noun last, and content nouns tend to be longer than the modifiers in front of them, so "photography" is ranked above "cold". It is a heuristic rather than parsing, and it is right often enough to be the difference between a usable set and a wall of tags about an adjective.
What this tool cannot do
It cannot tell you whether a tag is currently banned or quietly limited. Those lists change without notice and are not published. It cannot tell you post volume. And it cannot know your specific audience, which is ultimately what decides whether a tag works for you.
What it can do is stop you making the two mistakes that need no data to identify: spending your whole allowance on tags you cannot rank in, and tagging a video with so many that the platform discards all of them.
When you'd use this
Publishing a post and wanting a set that is not just the three obvious words. Working out why a well-tagged post got no reach. Building a reusable tag set for a series. Checking a platform's real limit before over-tagging a video. Finding the place-qualified tags for a location-based post, which are usually the ones a small account can actually win.
Examples
A topic with a place in it
Three broad, six mid, three niche — the deliberate weighting. Note that "in" was dropped as filler, and that the suffix tags are spread across all three keywords rather than stacked on the first one. Fourteen variations of "#landscape" would fill the quota while covering a third of the subject.
A topic that is mostly filler
"Best", "tips" and "for" are stripped, and the tool says so rather than quietly producing #besttips — a tag nobody browses. The three-tag count is marked as convention on X because the platform publishes no limit; pretending otherwise would be inventing a rule.
Frequently asked questions
Why group hashtags instead of just listing them?
Because the tags are not interchangeable, and treating them as one list hides the only decision that matters. A tag like #photography has hundreds of millions of posts, and a new account will never appear near the top of it — the post is buried within seconds. A tag like #keralalandscapes has few enough posts that something decent can sit visibly in it for days. A set made entirely of the first kind reaches nobody while feeling productive, which is exactly why so many people do it. Grouping makes the trade-off visible before you copy.
How do you know which tier a tag belongs to without post counts?
By structure, and the tool says so plainly rather than implying it has data it does not have. A single common word is necessarily broader than a two-word compound containing it, because the compound's audience is a subset of the word's audience. That inference is sound and costs nothing. What the tool cannot do is tell you that one tag has 4.2 million posts and another has 80,000 — there is no free API for that, and inventing numbers would be worse than useless because you would act on them. Paid tools sell the measured version; this is the honest unmeasured one.
How many hashtags should I actually use?
It depends on the platform, and two of the four limits are real. Instagram accepts up to 30 per post and ignores anything beyond. YouTube is the one worth memorizing: adding more than 15 hashtags to a video causes it to ignore all of them, so over-tagging is strictly worse than not tagging at all. TikTok and X publish no limit, so the numbers shown for them are conventions rather than rules and are marked as such. Within a limit, more is not automatically better — a focused set of relevant tags outperforms a padded one.
Why were some of my words thrown away?
Words like "best", "tips", "how", "guide" and "ideas" carry search intent but no subject, and they make tags nobody browses. Nobody scrolls #besttips. The tool strips them and then lists exactly what it removed, so a thin result set has a visible cause instead of looking like a malfunction. If everything in your topic gets stripped, that is the real answer: the topic described how you want to present something rather than what it is about, and adding the actual subject fixes it immediately.
What does the AI button add here?
Community and cultural knowledge that cannot be derived from your words. Everything the local generator produces is a recombination of what you typed — your words joined together, or extended with a curated list of suffixes like "daily" and "lovers". It has no way to know that a particular niche has an established tag with a name unrelated to its subject, or which regional variant people actually use. The AI pass is given the local set and told to avoid repeating it, so it contributes those tags or contributes nothing.
Is the AI Hashtag Generator tool free, and do I need an account?
Yes. The AI hashtag generator is free and needs no account, so there is no daily allowance tied to a login and no plan to upgrade to. You give it your topic, the language model returns suggestions, and nothing is stored against your name afterwards. Copy the ones you want before you leave, because the page does not keep them for you.
Further reading
- How Many Hashtags Should You Use?Two of the four numbers people quote are rules the platforms enforce and two are just conventions, and nobody ever says which is which. One of the real rules fails in a way you would never notice: exceed YouTube's limit and it discards every hashtag on the video, not just the extras.
- YouTube Title Length: Where Titles Actually Get CutThe character limit is 100 and almost nobody hits it. The number that decides whether your title works is the point where each surface truncates, and those range from about 40 characters on a mobile home feed up to around 70 on desktop search. Which means the real skill is word order, not brevity.
- How Long Should a YouTube Description Be?The limit is 5,000 characters, which is not the useful number. The number that matters is about 150 — the amount a viewer sees before pressing "Show more". Almost every mistake people make with descriptions is a consequence of optimizing for the wrong one of those two figures.