Opening review studio
Give your opening a clearer job.
Review the wording of a YouTube opening using available captions or a pasted script. Explore editorial findings, suggested edits and the evidence behind them.
Research workspace
Checking your session…
This is text-based editorial feedback. It does not watch footage, hear delivery or measure retention. Its score is an editorial rubric rather than a view prediction.
A practical guide
An opening should help viewers understand what the video offers and why the next section matters. This YouTube hook analyzer provides text-based feedback on that setup. You can review an accessible video transcript or bring an unpublished opening script into the same workflow. The goal is a more focused editorial decision, not a promised retention score.
Paste a public YouTube URL with accessible captions, or select script mode and provide the intended title and opening text. Use the actual opening rather than a summary of the whole video.
Sign in and inspect the quoted credit cost before starting. The report is grounded in the text supplied to that run.
Review prioritized changes and individual findings. Compare each suggested edit with its quoted evidence, then decide what fits your intended audience and tone.
The opening can establish a problem, a question or a result the video will explore. Check whether that promise is understandable without extra background. A vague claim may sound dramatic while leaving viewers uncertain about what they will learn. Use the critique as an editing prompt, and keep the promise aligned with the rest of the video.
Text can reveal confusing setup, repeated framing or delayed explanation. It cannot show whether a visual demonstration carries the opening, whether pacing works in the edit, or whether delivery changes the meaning. Review the actual video alongside any transcript-based advice before removing a section.
Where a report includes a score, it summarizes the tool’s text-review criteria. It is not a measurement of audience retention and does not predict views. The findings and supporting excerpts are more useful than comparing unrelated videos by one number.
A suggested edit can help you tighten a sentence or move a promise earlier. Confirm it remains accurate and sounds like you. Rewrites that introduce a result the video cannot deliver should be rejected, even if they appear more compelling. Publishing decisions remain yours.
Yes. Script mode accepts the opening text and intended title, so you do not need a published video to review its wording.
No. It reviews available captions or pasted text. Visual editing, delivery, music and actual retention require separate review.
A text-based editorial score cannot guarantee views. Use the findings to make a clearer opening, then assess performance using your own channel data after publishing.
The report shows supporting excerpts for findings. Video-caption findings may include source timing; pasted-script evidence refers to the text you supplied.
Yes. Sign in and request the analysis quote before starting. The UI displays the credit cost instead of assuming every run is free.
Free utility
Read, search and export available captions with source timestamps.
AI credits
Turn available captions into an overview and key points with source evidence.
AI credits
Find recurring audience needs and review the comments behind each opportunity.