Hashtags on Instagram have gone through a strange arc since the app first made them a growth lever back in the early 2010s. For a while, stuffing thirty hashtags into a caption or the first comment was standard advice, and tools built entire businesses around helping people generate that volume. Instagram’s own ranking systems have since shifted hard toward relevance over volume, and its Explore and Reels algorithms now weigh content quality, watch time, and engagement patterns far more heavily than raw hashtag count. Flick built a genuinely useful product around this shift, hashtag research grounded in real search volume and competition data rather than guesswork, and its pricing put it out of reach for a lot of creators and small businesses who still need that research done well.

I’ve managed Instagram accounts for small brands where hashtag strategy mattered enough to actually move discovery, not as a magic bullet but as one of several signals worth getting right. What follows is a practical look at the free and low-cost tools that cover most of what Flick does, along with the parts of hashtag research these tools can’t replace no matter how good their data gets.

Top Flick Hashtag Alternatives in 2026

1. Display Purposes

Display Purposes remains the most reliably useful free option in this category, and it earns that reputation through a genuinely simple mechanism: enter a seed keyword, and it returns a curated list of related hashtags while actively filtering out tags that Instagram has flagged as banned, restricted, or spammy. That filtering matters more than people realize when they’re starting out. A banned or shadowbanned hashtag buried in a caption doesn’t just fail to help, it can suppress the reach of the entire post depending on how aggressively Instagram’s systems interpret the violation, so a tool that screens those out before you ever paste a hashtag set into a caption is solving a real, specific problem rather than just generating a longer list.

The interface is refreshingly no-frills, no account creation required, no upsell funnel interrupting the workflow, just a search box and results. That simplicity is also its limitation: there’s no historical trend data, no competitor analysis, no way to track how a hashtag set performed over time. For a creator who just needs a clean, safe starting list for a post going up in the next twenty minutes, it’s hard to beat. For anyone building a longer-term hashtag strategy that needs performance tracking, it’s a starting point rather than a complete system.

2. All Hashtag

All Hashtag bundles three separate free tools under one roof: a generator that produces hashtag sets from a seed term, a set creator that lets you build and save custom hashtag groups by category, and basic analytics showing which tags are currently trending across Instagram. The category browsing feature deserves particular mention since it solves a problem Display Purposes doesn’t address directly, discovering hashtags relevant to a broad niche (photography, fitness, food) rather than a specific keyword you already have in mind.

Where it shows its age compared to a purpose-built paid tool like Flick is depth of competitive data. The trending and popularity metrics are directionally useful but don’t offer the kind of granular difficulty scoring that helps a smaller account identify hashtags with a realistic shot at ranking in the top posts rather than getting buried under accounts with millions of followers already dominating that tag. It’s a solid free daily-use tool, less so a strategic planning tool for building out a multi-month content calendar around specific hashtag targets.

3. Hashtagify

Hashtagify leans into the data side more seriously than most free alternatives, surfacing related tags, popularity trend lines showing whether a hashtag is rising or declining in use, and some influencer-adjacent data showing which accounts are driving activity around a given tag. That trend-line feature is genuinely valuable in a way a static list of related hashtags isn’t: a tag that looked strong six months ago but has been declining in usage for the past few weeks is a different bet than one climbing steadily, and most free tools don’t surface that distinction at all.

The free tier caps how many searches and how much historical depth you can access before hitting a paywall, which is the honest tradeoff for getting genuine trend data rather than just a static snapshot. For an account doing occasional hashtag research, the free tier covers it. For an agency or a creator managing multiple accounts who needs to run this kind of research weekly, the paid tier becomes worth evaluating fairly quickly, at which point it’s worth comparing directly against Flick’s own pricing rather than assuming free is automatically the better deal once real usage volume enters the picture.

4. RiteTag

RiteTag takes a genuinely different approach worth understanding on its own terms: rather than generating a static list, it analyzes hashtags in something close to real time and color-codes them, green for hashtags getting solid engagement without being oversaturated, red for tags so overused that a post will vanish within minutes of posting, and other shades in between for tags that are currently underused or unproven. That live signal is closer to what a paid tool like Flick is trying to approximate with its own difficulty scoring, just presented through a simpler visual system rather than a numeric score.

It works as a browser extension and directly inside a few supported platforms, which makes the workflow genuinely fast once it’s installed: type a caption, see the color-coded suggestions update live, and swap in green-rated tags before publishing rather than researching hashtags as a separate step disconnected from the actual posting workflow. The free tier is more limited than the paid plan in daily lookups, but for a single-account creator posting a handful of times a week, it rarely becomes a real constraint.

5. Keyword Tool

Keyword Tool approaches hashtag research from a search-engine-optimization angle rather than a pure social-media angle, generating hashtag suggestions from a keyword the same way it would generate search query suggestions for Google, then layering on search volume and competition estimates. That crossover matters for accounts where Instagram traffic is one channel among several and the underlying keyword research genuinely overlaps with SEO work happening elsewhere in the business, a fitness coach’s hashtag research and blog keyword research, for instance, often point at genuinely the same underlying audience language.

The free version shows a capped set of results with the fuller list and volume data locked behind a subscription, which is a fairly standard freemium pattern in this space. For a business already running Keyword Tool for other SEO work, extending it to Instagram hashtag research is close to free incrementally. For someone with no other use for the platform, it’s a less natural entry point than a tool built specifically around Instagram from the start.

6. Later

Later built its reputation as a visual content scheduler first, and its hashtag features live inside that broader workflow rather than standing alone as a dedicated research tool. Saved hashtag groups let you build out sets for recurring content types (a product-launch set, a behind-the-scenes set, a customer-story set) and drop them into a caption with a couple of clicks rather than re-researching hashtags every single time a similar post goes up. Later’s suggestion engine also surfaces related tags based on the caption content itself, catching relevant hashtags a manual search might miss.

The real value proposition here isn’t hashtag research depth, which is genuinely lighter than a dedicated tool like Flick or Hashtagify, it’s workflow consolidation. An account already scheduling posts through Later gets hashtag management folded into the same tool rather than needing to tab between a separate research tool and the scheduler, which for a solo creator managing everything themselves removes real friction even if the underlying hashtag data is somewhat less sophisticated.

7. Seekmetrics

Seekmetrics offers free hashtag and profile analysis that goes a bit further than pure hashtag research, layering in engagement rate calculation and optimal posting time analysis alongside the hashtag suggestions themselves. For an account trying to diagnose why engagement has been flat, being able to check hashtag performance and posting-time patterns in the same tool, rather than stitching together data from three separate sources, saves real analysis time.

It’s a less polished, less actively marketed tool than some of the bigger names on this list, which shows in the interface but doesn’t undermine the actual usefulness of the free data it surfaces. Worth treating as a supplementary diagnostic tool rather than a primary daily-use hashtag generator, checked periodically to sanity-check whether a hashtag strategy is actually working rather than consulted before every single post.

8. IQ Hashtags

IQ Hashtags focuses specifically on difficulty scoring, estimating how hard it would realistically be for a given account to rank within a specific hashtag’s top posts based on the current competition level. That’s genuinely close to the core value proposition Flick built its paid product around: not just “here are hashtags related to your topic” but “here are hashtags you actually have a realistic shot at ranking in, given where your account currently stands.”

The tradeoff is that difficulty scoring of this kind is inherently an estimate rather than a guarantee, Instagram doesn’t publish the actual ranking algorithm, and any third-party tool is inferring difficulty from observable signals like post volume and engagement rather than the platform’s actual ranking logic. Treat the scores as directional guidance for prioritizing which tags to test first, not as a precise prediction of exactly how a specific post will perform.

9. MetaHashtags

MetaHashtags takes an image-first approach that none of the other tools on this list attempt: upload a photo, and it analyzes the visual content using AI to generate relevant hashtag suggestions based on what’s actually in the image rather than requiring you to manually type out a seed keyword first. For a creator who’s better at shooting content than describing it in searchable keywords, that’s a genuinely different and useful entry point into hashtag research.

The suggestions it generates skew toward literal, descriptive tags based on visual content (what objects, settings, and colors appear in the frame) rather than the more strategic, audience-behavior-driven hashtags a human strategist might choose based on where a target audience actually spends time browsing. It’s a strong complement to a more strategic research tool rather than a full replacement, particularly useful for quickly generating a baseline set of descriptive tags before layering in more strategic choices on top.

It’s easy to overlook the platform’s own native search as a hashtag research tool, but Instagram’s built-in hashtag search shows real, current post counts and a list of related tags directly from the source, with zero risk of the data being stale, inaccurate, or scraped from an outdated snapshot the way third-party tools occasionally are. Typing a candidate hashtag directly into Instagram’s search bar and checking both the post count and the related-tags carousel that appears alongside it remains one of the fastest, most reliable sanity checks available, completely free and requiring no account setup beyond the Instagram account you’re already using.

Its limitation is scope rather than accuracy: it shows you a single tag’s current state well but doesn’t help you discover dozens of related options at once, track trends over time, or estimate ranking difficulty the way a dedicated research tool does. The strongest workflow treats it as a final verification step, confirming that a hashtag surfaced by one of the tools above is still active and reasonably sized, rather than as the primary discovery method.

Hashtag research is just one part of social media management. Explore Hootsuite alternatives for social scheduling, check out Canva alternatives for content creation, and discover Linktree alternatives for optimizing your bio link.

What Hashtag Data Alone Can’t Tell You

Every tool on this list, Flick included, is fundamentally answering the same narrow question: which hashtags are related to my topic, and roughly how competitive are they. None of them can tell you whether your actual content is good enough to earn engagement once someone discovers it through that hashtag, and that gap matters more than most hashtag guides acknowledge. A perfectly researched hashtag set attached to a mediocre photo and a flat caption will still underperform a strong post with a merely adequate hashtag set, because Instagram’s ranking systems weigh post-level engagement (saves, shares, watch time on Reels, comments) far more heavily in 2026 than they weigh which specific hashtags were attached.

This is worth internalizing before sinking significant time into hashtag optimization at the expense of the content itself. Hashtags function as a discovery mechanism, a way to get a post in front of people who aren’t already following the account, not an engagement mechanism in their own right. Getting discovery right and then having weak content behind it wastes the very reach the hashtags earned, since a viewer who clicks through from a hashtag search and finds an unremarkable post is unlikely to follow, engage, or return, regardless of how precisely targeted the hashtag research was.

Building a Realistic Hashtag Mix

A pattern that shows up consistently across accounts that treat hashtag strategy seriously is mixing tag sizes deliberately rather than chasing only the highest-volume, most obvious tags for a niche. A set built entirely from hashtags with millions of posts means competing directly against huge, established accounts for visibility in a feed that refreshes constantly, where a small account’s post disappears from the top results within minutes regardless of quality. Blending in a meaningful share of smaller, more specific tags, ones with tens of thousands of posts rather than millions, gives a post a realistic window to actually sit in the top results long enough to be seen by people actively browsing that tag.

A workable rough split for most small to mid-size accounts looks like a handful of broad, high-volume tags for baseline reach, a larger group of mid-size tags where genuine ranking is achievable, and a few genuinely niche tags specific enough that the account has a real shot at appearing near the top even with a modest following. None of the tools above will build this mix automatically. They’ll surface candidate tags and rough popularity signals, but the actual judgment call, choosing which specific tags at which size tier best match this particular account’s current reach, is still a human decision informed by the data rather than one the data makes on its own.

Testing and Iterating Rather Than Setting a Fixed List

The accounts that get the most out of hashtag research treat it as an ongoing test rather than a one-time setup task. Instagram’s Insights panel shows exactly how much reach came from hashtags specifically, separate from home feed, profile visits, or Explore, for any given post, and reviewing that number for the last ten or fifteen posts reveals which hashtag sets are actually contributing meaningful discovery versus which ones are essentially dead weight riding along in the caption out of habit.

Rotating hashtag sets every few weeks rather than reusing the exact same group indefinitely also matters more than it might seem. Instagram’s own guidance has periodically flagged that using identical hashtag sets on every single post can read as spam-adjacent behavior to its automated systems, and beyond that risk, tag popularity and competition genuinely shift over time as trends move and other accounts adopt or abandon specific tags. A quarterly refresh, pulling new candidate hashtags from whichever of the tools above fits the workflow, checking current post counts against what they were the last time the set was built, keeps a hashtag strategy from quietly going stale while everyone assumes it’s still working the way it did when it was first set up.

Conclusion

These Flick alternatives in 2026 collectively cover nearly everything the paid tool offers, provided you’re willing to combine two or three of them rather than expecting one free option to match a purpose-built paid product feature for feature. Display Purposes and All Hashtag remain the strongest starting points for straightforward, safe hashtag generation, RiteTag and IQ Hashtags get closest to Flick’s live difficulty scoring, and Instagram’s own native search stays the most reliable final check before anything goes live. Whichever combination you settle on, remember that hashtag research is discovery infrastructure, not a substitute for the content actually earning engagement once someone finds it.