Scribix

Podcasters, video creators, and marketing or content ops teams sit on long-form recordings like interviews, webinars, and founder conversations that already contain complete, shareable moments. Today this means manually scrubbing through the full recording to find a good moment, cutting it, reframing it for vertical feeds, and adding captions by hand for every single clip. Teams describe having more good footage than editing time, and rebuilding every edit from scratch does not scale into a steady stream of short-form content. The page frames this explicitly as spoken long-form video where the clips already exist inside the conversation but need to be found and finished.

Scribix analyzes a video's transcript, speaker turns, and word-level timestamps to suggest self-contained moments with a hook and clear theme, rather than analyzing every frame of the source video. Users can then adjust the clip's boundaries, correct caption text, set crop position and zoom for a 9:16 reframe with a live preview, choose a caption treatment and control line length, position, color and emphasis, apply brand styling like logo, font and accent color, and select a cover frame. The final export is rendered in the cloud from the original file rather than a compressed browser preview, producing a 1080 x 1920 H.264 MP4 with AAC audio plus a cover image. Beyond clipping, Scribix also offers related standalone tools for audio-to-text, YouTube transcripts, and AI note taking.