Ribbi intelligently analyzes podcast content, automatically identifies memorable quotes, conflicts, and peak moments, and helps you quickly create standout clips built for sharing.
Try: "Help me cut this 2-hour founder interview video into multiple highlight clips of about 1 minute each, focusing on memorable quotes and conflicting viewpoints."


Send your long podcast or interview video link to Ribbi. It supports multiple major video platforms, with no manual downloading required.
Ribbi automatically transcribes the full subtitles and accurately identifies standout moments such as memorable quotes, emotional peaks, striking data points, and story turns.
Automatically generate multiple 15–60 second highlight clips, or merge them into one complete highlight compilation with a single click.
Automatically converts video audio into accurate subtitles, deeply understanding the content semantics to build a strong foundation for highlight detection.
Simultaneously detects memorable quotes, conflicting viewpoints, emotional language, striking data points, suspense setups, and other standout moments so no highlight gets missed.
Edits based on subtitle sentence breaks to ensure every short clip is semantically complete, without cutting off sentences, for a smooth and natural viewing experience.
Outputs 15–60 second clips by default, while intelligently adjusting length when needed to preserve content completeness and fit major short-video platform requirements.
Combine multiple highlight clips into one complete compilation with a single click, meeting content needs across different distribution scenarios.
Extract multiple highlight clips in a single run, eliminating frame-by-frame manual editing and reducing hours of work to just minutes.
