Audience Question Extractor
Paste any YouTube video URL · we read the comments · AI surfaces what your audience actually wants
What you'll get
Audience insights will appear here
Paste a YouTube video URL on the left to get started
Why Reading Every Comment Doesn't Scale
A video with a few thousand comments can easily bury the same question hundreds of viewers asked, or a content request dozens of people typed in slightly different words. The Audience Question Extractor groups those near-duplicate comments together so a creator can see, at a glance, exactly what their audience wants next.
Question clustering
Similar questions asked in different words are grouped into one entry with a viewer count, so the most-asked question is always the most visible.
Content request detection
Comments asking for a Part 2, a beginner version, a mobile walkthrough, or a translation are extracted as concrete content ideas.
Confusion & opportunity scoring
Recurring frustration around a specific step (like setup or login) is surfaced with an opportunity score showing how valuable a fix-it video would be.
Hidden opportunities
Requests with real demand that the creator likely hasn't addressed yet are ranked by potential traffic, so the next video isn't a guess.
Frequently Asked Questions
What is the Audience Question Extractor?
It's a tool that reads a YouTube video's comments and uses AI to surface the questions, content requests, and confusion points viewers mentioned most often — so creators don't have to read every comment manually.
Is this comment analyzer free?
Yes. StatFlare's Audience Question Extractor is completely free to use, with no account required.
What does the comment analysis include?
It includes the top viewer questions grouped by similarity, the most requested follow-up videos, common confusion points with an opportunity score, frequently mentioned keywords, a sentiment breakdown, AI-generated next-video suggestions, hidden content opportunities, and a written summary.
How many comments does it analyze?
It analyzes up to 150 of the most relevant top-level comments on the video to keep results fast and representative, regardless of how many comments the video has in total.