Wisecut

Wisecut is an AI video editing and repurposing platform for creators, businesses, and media teams that want to turn long recordings into edited videos and short-form social clips with less manual editing. It combines automated clipping and cleanup with WISH, a natural-language editing assistant, plus captions, reframing, music, scheduling, and automated publishing.

1. Natural-language editing: WISH lets users describe the desired edit in plain language. It analyzes the source video and can plan cuts, aspect-ratio changes and reframing, captions, and music before the user reviews the proposed result.
2. Long-form repurposing: Wisecut identifies moments worth clipping from longer recordings such as podcasts, interviews, webinars, streams, courses, and talks, then prepares them for short-form formats. Auto Reframe keeps speakers visible in vertical video, while captions are added for social viewing.
3. Production automation: Editing tools can remove silences, filler, and false starts, generate subtitles, reframe footage for vertical, square, or landscape output, and add background music. Wisecut uses a storyboard and transcript-oriented workflow rather than requiring users to perform every edit on a conventional timeline.
4. Autopilot and publishing: Autopilot can monitor connected content, automatically create clips from new videos or live streams, place them into a publishing queue, and schedule and publish them according to predefined platform rules. Current examples include YouTube Shorts, Instagram Reels, and TikTok. Wisecut uses a shared credit balance across Editor, WISH, and Autopilot, with Free, Starter+, Professional+, and custom Enterprise options.

Wisecut is most relevant to creators and teams that repeatedly turn long-form spoken video into social content and want clipping, cleanup, reframing, captions, and distribution handled in the same workflow. Its value depends on publishing frequency, source-video volume, required output quality, and whether the time saved on repetitive editing and distribution justifies the required credits.