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Reverse-engineer YouTube videos: cuts, pacing, captions, motion, audio, and the editing choices behind them. Peel helps you understand how YouTube videos are edited. Open any YouTube video or Short and click Analyze with Peel. Peel breaks the video down into its editing structure so you can quickly see what makes it work. You can use Peel to inspect: Cuts and transitions Pacing and video structure Hooks and key moments Captions and on-screen text Motion and animation techniques Music, sound effects, and voice treatment The full transcript with timestamps Peel also gives you practical recreation guidance so you can understand how an editing technique was used and apply a similar approach to your own videos. Ask Peel lets you ask questions about the video directly, such as why the pacing works, how the hook is structured, or how a certain editing style could be recreated. How it works Open a YouTube video or Short. Click Analyze with Peel. Wait for the analysis to finish. Explore the Overview, Timeline, Transcript, Text, Motion, and Audio sections. Use Ask Peel when you want to go deeper. Peel is made for video editors, YouTubers, content creators, and anyone who wants to study how videos are put together without manually going through them frame by frame. Free accounts include 30 minutes of analysis each month. Peel Pro includes 5 hours of analysis per month. Learn more at usepeel.com.
Sep 17, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.