AI Hashtag Optimizer

An AI hashtag optimizer reviews the hashtags you already put on a post and tells you which ones earn their place. You paste the post or caption, the hashtags you use now, and pick the platform. A language model says which tags to keep, drop or replace and gives a reason for each, such as too broad, irrelevant, redundant or banned-looking. Then it writes an optimized set sized for that platform, grouped into broad, niche and specific tags.

That makes it an editing tool, not a starting point. The hashtag generator creates a fresh list from a description when you have none, and the TikTok hashtag generator is tuned for TikTok. Use the optimizer when you have a habit set, like #instagood #love #photooftheday, and suspect it is doing nothing for you. It covers Instagram, TikTok, X (Twitter) and LinkedIn. If you leave the current hashtags empty, it builds a set from the post alone.

The model runs on the Toolz server. Your post and tags are sent over HTTPS, the server builds the prompt and runs Gemma 3 1B, a small open model from Google, with Ollama, and the review streams back as it is written. Nothing is downloaded, so it works in any modern browser, phones included. Your post and tags are used to write the reply and then discarded: they are not stored or logged, not used to train any model, and not sent to any third-party AI company.

The review is judgement, not measurement. The model has no web access and cannot see how many posts use a tag or whether a platform has restricted one, so "banned-looking" means the tag looks risky, not that it is confirmed banned. The tool reminds you to check each tag in the app before posting, and a small model can be wrong about a niche it knows little about.

It is free with no signup, within about 20 reviews per 10 minutes. The alternatives are auditing tags by hand in each app or paying for a tool with live counts. This gives a reasoned second opinion in seconds, and keeps nothing afterwards.