AI Workflow Makes Family Catchphrase Supercuts Possible

The tech is ready, but it behaves more like a pipeline you orchestrate than a single magic agent.

• –Premiere Pro’s Text-Based Editing can auto-transcribe footage, search transcript text, and bulk-remove pauses/fillers, which covers much of the manual scrub work.
• –Timestamped transcription (for example with Whisper-style word/segment timing) enables phrase-level detection like “I love you” across large libraries.
• –FFmpeg can trim by timestamps (`-ss`/`-to`) at scale, but frame-accurate cuts often need careful encoding choices.
• –Timeline automation is possible via interchange formats (for example FCP XML/OpenTimelineIO paths), so clips can be assembled before final polish in Premiere.
• –The real bottleneck is operational: ingest/transcription time, storage throughput, and QA for false positives, not whether models can hear the phrase.