Turn Interviews Into Highlight Clips Automatically
The best interview moments are answers, not timestamps — and clipping them means handling two faces, one frame, and a conversation that moves. OpenClip finds the strongest exchanges, cuts the vertical frame between speakers, and captions everything automatically.
Scenario
Interview footage is uniquely awkward to clip. The content structure is question-and-answer, so a good clip needs the setup and the payoff — cut the question and the answer floats context-free; keep too much and the clip drags. The visual structure is worse: a two-shot, alternating cameras, or a remote call layout, all of which collapse under a naive vertical crop that either shows two half-faces or locks onto whoever isn't talking. This is why interview highlights have traditionally required a human editor who understands the conversation. OpenClip replicates that judgment mechanically: speaker diarization maps every question and answer, moment detection scores exchanges for quotability and emotional register, and face tracking cuts the 9:16 frame to the active speaker — question framed on the interviewer, answer framed on the guest — with word-level captions burned in. Works the same for a media interview, a customer story session, a hiring panel, or a documentary sit-down.
Workflow
Upload the interview footage
Submit any interview recording — a two-camera studio edit, a single wide shot, or a remote call from Zoom or Riverside. Multi-hour raw footage is fine; the AI does the sifting.
AI maps questions and answers
Speaker diarization separates interviewer from subject and segments the conversation into exchange units — so clips are built from complete Q&A pairs, not arbitrary in-and-out points.
The strongest answers surface
Each exchange is scored for hook, specificity, and emotional weight. The ranked shortlist is the same set of moments a good editor would flag on a first viewing pass.
Active-speaker vertical framing
Face tracking frames whoever is talking and cuts between speakers as the exchange moves — the question on the interviewer, the answer on the guest — in clean 9:16.
Captioned clips, ready anywhere
Word-level captions burn in with your chosen preset. Export vertical for Reels, Shorts, TikTok, and LinkedIn, or keep the original frame for embeds and press pages.
Benefits
Key Metrics
5-15
Clips per interview
Multiple
Speakers tracked
2-4 hrs
First-pass edit replaced
Word-level
Caption sync
Features
Q&A-Aware Diarization
Separates interviewer from subject and segments the conversation into exchanges — the structural understanding that makes interview clips coherent.
Answer-Quality Ranking
Scores exchanges for specificity, surprise, and emotional register — surfacing the quotable answers a producer would circle in the transcript.
Two-Person Frame Switching
The 9:16 crop follows the active speaker and cuts between faces as the conversation volleys — the exact pattern editors keyframe manually for interview verticals.
Word-Level Captions
Captions sync to each word in 10 visual presets, keeping soft-spoken or accented answers fully readable in silent autoplay.
Every Destination From One Pass
Vertical exports for social feeds, original-frame exports for press pages and embeds — one detection pass covers both.
Any Interview Format
Studio two-shots, single wide angles, remote call grids, and mixed-camera edits all parse — face tracking adapts to the layout it finds.
Frequently Asked Questions
The Best Answer in Your Interview Is Waiting to Be Found
Upload your interview to OpenClip and get the strongest exchanges back as speaker-tracked, captioned clips — the first-pass edit, done before your coffee cools.