What it is
PrePublish is a web-based tool that analyzes scripts and short video or audio files to predict viewer retention and identify engagement issues before publication. It uses machine learning models to evaluate elements of a script such as hook, pacing, and structure, and to generate a predicted retention curve indicating where viewers are likely to drop off.
The service accepts pasted text or uploaded media; uploaded video or audio files are transcribed for analysis. It is aimed primarily at creators producing video content, including YouTube creators across categories such as gaming, tech reviews, education, finance, vlogs, shorts, podcasts, and commentary. The interface returns analysis results quickly and provides actionable suggestions for openings, transitions, and weak sections based on retention-focused evaluation.
Key features
PrePublish produces numeric scores for hook, pacing, and structure alongside a predicted retention curve that maps likely drop-off points. The analysis highlights specific timestamps or script segments associated with retention risks and annotates areas that need revision.
The tool generates specific, copy-paste suggestions for improving openings, transitions, and underperforming sections. A hook optimization focuses on the first 30 seconds and offers alternative openings and wording. Users can submit a script by pasting text or uploading video/audio files; uploaded media are transcribed automatically for script-level analysis.
Additional outputs include PDF exports of analysis reports, title and thumbnail analysis, audience-specific insights, and auxiliary utilities such as a title analyzer and a script word counter. A live demo shows the analysis workflow on sample scripts.
Use cases
An individual YouTube creator can paste a draft script or upload a short to identify weak openings and points where viewers may disengage, then apply the suggested alternative openings and transition rewrites prior to recording. Creators focused on short-form content can use the hook optimization to refine the first 30 seconds and trial multiple openings.
Production teams or freelancers producing videos for clients can export PDF reports to communicate specific retention issues and recommended changes. Educators, reviewers, and podcast hosts can use transcription-based analysis to improve pacing and restructure episodes to sustain attention. The tool is intended for scenarios where advance, script-level feedback on retention and concrete wording suggestions are required before publishing.
