Hashtag Generator
Commercial use OK
380+ models
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No sign-up needed
Model:
+ GPT-5, Claude, Gemini
Generated hashtags
Advanced options
Result
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Generate trending hashtags with free AI. Boost reach on Instagram, TikTok, and Twitter.
How to Use Hashtag Generator
1
Enter your input
Type text, upload a file, or describe what you want. No account needed.
2
Click generate
Our AI processes your request in seconds using the best open-source models.
3
Download & share
Download, copy, or share your result. Free for personal and commercial use.
Use this tool via API
Automate this tool from your own code. OpenAI-compatible REST endpoint, Bearer-token auth, no extra SDK required. Token costs match the web interface.
curl -X POST https://api.free.ai/v1/chat/ \
-H "Authorization: Bearer sk-free-..." \
-H "Content-Type: application/json" \
-d '{"model": "qwen7b", "messages": [{"role": "user", "content": "Summarize this: ..."}]}'Related Free AI Tools
Hashtag Generator — FAQ
The AI reads your post description, identifies the topic + mood + audience, and builds a grouped list of hashtags tuned to the platform you pick. Every platform has different rules — Instagram allows 30, Threads allows 1, X performs best with 2 max — and the generator adjusts count + style accordingly. Tags come back in 3-6 buckets (popular / niche / branded / location / event / industry) so you can cherry-pick which mix fits your post.
Instagram 30 max / 8-15 sweet spot, TikTok 100 max / 3-5 sweet spot, X 2 max, LinkedIn 5 recommended, YouTube 15 max (first 3 show above title), Pinterest 20 max, Facebook 1-2 (hashtags hurt reach there), Threads exactly 1 clickable topic tag. The tip card above the results explains each platform’s current best practice based on 2026 engagement studies.
Yes — ~150 tokens per generation, comfortably inside the 2,500 anonymous or 10,000 signed-up daily pool. Generate dozens of hashtag sets per day on the free tier. No sign-up required.
Display Purposes (free) is simple keyword-to-related-tag mapping with no platform awareness. RiteTag ($49/mo) provides hashtag reach estimates from Twitter data. All Hashtag scrapes tag popularity. Our tool uses a 7B-parameter LLM that respects current per-platform norms and understands context — a coffee-shop post in Seoul gets #서울카페 added, not just #coffee. Different problem: we optimize relevance + platform fit, not raw post-count stats. Pair with RiteTag if you need reach metrics.
Yes — the style chips are additive. Toggle any combination and the system prompt folds each into the output. Example: "Balanced mix" + "Location" + "Event" gives you a general set plus city-specific tags plus seasonal/holiday tags. Pick what matches your post.
A niche hashtag has <100K posts but is highly relevant to a sub-audience — #BrooklynCoffeeCulture instead of #coffee, #RemoteWorkMom instead of #WFH. Niche tags underperform in raw reach but convert far better because the audience actively searches them and competition is lower. Most creators should bias to niche once their posts are strong enough to earn that niche’s engagement.
Our model snapshot is frozen at its training cutoff, so it does NOT know which tags trended this week. It knows historically popular tags (#TikTokMadeMeBuyIt, #FoodieGram) but will not fabricate a trend. For real-time trending-tag discovery pair with X Explore, TikTok Discover, or a paid tool like Rite Forward. We are optimized for evergreen relevance, not chasing the algorithm.
Yes — on TikTok, Instagram Reels, Pinterest, LinkedIn, and YouTube Shorts. Tags feed discovery, Reels browsing, and search indexing. On X they work on a smaller margin (1-2 only). On Facebook they have effectively zero impact (meta-studies show <0 on engagement). Platform matters more than raw count.
Yes — 99 languages supported. Type your post in Portuguese or Japanese and you’ll get hashtags in the same language, locally-appropriate (e.g., #TokyoRamen for Japanese food posts, #SanPaulo for Brazilian location tags). Lower-resource languages may lean on Latin-script loanwords that still read naturally on the platform.
The system prompt respects the "brand handle" field for inclusion. Custom-exclusion isn’t exposed yet — add rejections manually in the results and regenerate, or type them into the post description as "avoid mentions of X". Full block-list support is on the roadmap.
Yes — POST to /v1/chat/ with the same system prompt the page builds. Good for social-media management tools generating tag suggestions in bulk. Bearer auth, rate-limited. Docs at /api/.
Tag count reflects existing usage — #love has 2B+ posts (crowded, your post buries instantly); #BushwickVinylRecords has ~800 posts (tiny pool, easier to rank). The best strategy is a 70/30 split: 70% niche + small-medium for conversion, 30% medium-broad for discovery. Our balanced-mix style aims for roughly this ratio automatically.
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