About this tool
The YouTube Title Keyword Extractor analyses a set of video titles and reports the words and two-word phrases that appear most often. 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
Titles are tokenised, stop words are removed from single-word counts, and phrase counts are built from adjacent word pairs whose edges are meaningful terms. 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
Pasting ten espresso titles reveals that "espresso machine" appears in most of them while "descaling" appears only twice.
Who it’s for
- Auditing your own channel for repetitive titling
- Seeing which terms a topic area keeps returning to
- Finding an angle nobody in your list has used
- Standardising a series naming convention
Tips for better results
- Paste at least ten titles for a meaningful pattern.
- Repetition is not automatically bad; it can signal a clear niche.
- Combine with the Topic Generator to find the gaps.
Limitations
This is frequency analysis of the text you paste, not performance data about those videos. 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.