About this tool
The Keyword Counter summarises a keyword list: how many entries it holds, how many are unique, how many repeat and how long they typically are. Everything runs locally in your browser, so the words you paste never leave your device and nothing you research is saved to a server. The tool is built for people who need usable output quickly: creators drafting the next video, bloggers planning a month of posts, marketers grouping phrases before writing briefs, and small business owners who want more descriptive ways to talk about what they sell. Instead of guessing which phrasing a reader might type, you start from a topic you already understand and expand it into a wider, better organised set of phrases you can edit, keep or discard.
How it works
Lines are parsed and measured locally, then grouped into a distribution showing how many one-word, two-word and longer phrases the list contains. There is no hidden scoring model and no third-party data feed behind the results, which means the same input always produces the same output. Every phrase you see is assembled from your own words plus a curated vocabulary of modifiers, question openers, audience qualifiers and structural patterns that appear naturally in real searches and social captions. Because the logic is deterministic you can safely re-run a topic, tweak one option and compare the two lists side by side.
How to use it
- Enter your topic, keyword list or text in the input panel on the left.
- Adjust the options so the output matches the platform, intent or format you are writing for.
- Press Generate and review the grouped results on the right.
- Copy everything, copy a single line, or download the list as TXT, CSV or JSON.
- Use Reset to clear the workspace before starting a new topic.
Example
A 250-line list reports 231 unique keywords, 19 duplicates and an average of 3.4 words per phrase.
Who it’s for
- Sizing a project before quoting for it
- Checking whether a list skews head-term or long-tail
- Verifying an export imported completely
- Reporting list size to a client
Tips for better results
- A high average word count means the list is long-tail heavy.
- Compare counts before and after cleaning to see what changed.
- Use the distribution to decide how to split the list into pages.
Limitations
Counting describes the list's shape, not the value of any keyword in it. SocialKeywords does not display search volume, cost-per-click, keyword difficulty or trend percentages, because inventing those numbers would be misleading. Treat the output as a well-organised starting point: keep the phrases that match what you can genuinely write about, remove the ones that do not, and validate anything commercially important against a data source you trust.