About this tool
The Question Extractor finds every question inside a block of text, including sentences that start with a question word but lack a question mark. 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
The text is split into sentences, those ending in a question mark are collected first, and remaining sentences are checked against a list of question openers. 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 a page of YouTube comments returns the twelve questions viewers asked, ready to turn into a follow-up video.
Who it’s for
- Mining comments and support emails for content ideas
- Pulling questions out of a webinar transcript
- Building an FAQ from real customer language
- Checking whether an article answers what it raises
Tips for better results
- Transcripts often lack punctuation — the opener check catches those.
- Group similar questions before writing answers.
- Answer the most frequently repeated question first.
Limitations
Detection is pattern-based, so rhetorical statements beginning with a question word may appear. 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.