---
title: 'Turn Interviews Into Clips Automatically - OpenClip'
description: 'Turn any interview into highlight clips automatically. AI finds the best answers, cuts between speakers with face tracking, and captions every word.'
canonical: 'https://openclip.app/use-cases/interview-to-clips'
markdown: 'https://openclip.app/use-cases/interview-to-clips.md'
---

Interview to Clips

# 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.

content-repurposing

starter

## 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

1

### 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.

2

### 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.

3

### 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.

4

### 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.

5

### 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

Clips are built from complete question-answer exchanges, not blind time slices

Face tracking cuts between interviewer and guest — no two-half-faces crops

AI ranking replicates an editor's first-pass moment selection in minutes

Word-level captions make quiet, thoughtful answers work in muted feeds

Same pipeline serves media interviews, customer stories, and documentary footage

Guests get shareable clips of their own appearance — distribution multiplies

## 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

### How do I turn an interview into clips?

Upload the footage to OpenClip. Speaker diarization maps the questions and answers, the AI ranks exchanges by strength, face tracking frames the active speaker through a 9:16 crop, and word-level captions burn in. You review a ranked shortlist of complete exchanges instead of scrubbing raw footage — the first-pass edit that normally takes hours happens in minutes.

### Should interview clips include the question or just the answer?

Usually a compressed version of both: the question provides the tension that makes the answer land, but a rambling question kills the hook. The strong pattern is a tight question (or its final sentence) followed by the full answer. Because OpenClip segments on exchange boundaries, you can trim the question side without breaking the clip's logic.

### How does vertical cropping work with two people on screen?

A static center crop of a two-shot shows the table between two half-faces — the classic failure. OpenClip tracks both faces and frames whoever is speaking, cutting between them as the exchange moves. For side-by-side remote layouts it frames the active tile. The result mimics a two-camera edit even from a single wide shot. More detail in the [speaker tracking guide](/guides/speaker-tracking-guide).

### What makes an interview answer clip-worthy?

Specificity and surprise: a concrete number, a story with a turn, a claim that cuts against expectation, or visible emotion. Generic answers — even articulate ones — don't stop scrolls. OpenClip's ranking weights these signals, which is why its shortlist tends to match what a producer would pick from the transcript.

### Can I use this for customer interviews and testimonials?

Yes — customer story sessions are structurally identical to media interviews, and the best 30-second testimonial is usually buried in a 40-minute call. The same detection surfaces it, and captions plus vertical framing make it feed-ready. See [customer testimonial clips](/use-cases/customer-testimonial-clips) for that specific workflow.

### I was the guest — can I clip an interview I appeared on?

If you have access to the recording or it's published on YouTube, yes — paste the link and clip your own strongest answers. Guests repurposing their appearances is one of the highest-leverage uses of this workflow, especially for [LinkedIn distribution](/use-cases/youtube-to-linkedin-video) where a strong podcast answer becomes a week of posts.

## 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.

[Get Started Free](https://openclip.app/register)

## Related Pages

### Glossary

[Face Tracking in Video Editing | OpenClip Glossary](/learn/face-tracking) [Burned-In Captions: What They Are](/learn/burned-in-captions) [Jump Cut | Video Editing Glossary](/learn/jump-cut) [Speaker Diarization: Who Said What in Video](/learn/speaker-diarization) [Video Highlights: AI Clip Detection](/learn/video-highlights) [Viral Clip Detection: Find Your Best Moments](/learn/viral-clip-detection)

### Use Cases

[Repurpose YouTube Videos for LinkedIn](/use-cases/youtube-to-linkedin-video) [Podcast to Shorts: Auto-Clip Episodes with AI](/use-cases/podcast-to-shorts) [Turn Zoom Recordings Into Clips with AI](/use-cases/zoom-recording-to-clips) [Customer Testimonial Clips with AI](/use-cases/customer-testimonial-clips) [AI Speaker Tracking for Interview Videos](/use-cases/speaker-tracking-for-interviews)

### Integrations

[Adobe Premiere Pro + OpenClip | AI Clip Workflow](/integrations/adobe-premiere-pro) [OpenClip + Riverside Integration | Repurpose Recordings](/integrations/riverside) [OpenClip + StreamYard: Repurpose Live Streams into Clips](/integrations/streamyard) [Zoom + OpenClip: Repurpose Meetings into Clips](/integrations/zoom) [Final Cut Pro & OpenClip Integration](/integrations/final-cut-pro)

### Who It's For

[OpenClip for Podcasters | AI Podcast Clip Creator](/for/podcasters) [OpenClip for Documentary Filmmakers | AI Clip Tool](/for/documentary-filmmakers) [OpenClip for Media Companies | AI Video Repurposing](/for/media-companies) [OpenClip for Marketing Teams | AI Video Repurposing](/for/marketing-teams) [OpenClip for News Organizations | AI Video Clips](/for/news-organizations)

### Templates

[Interview Highlight Template | AI Video Clips](/templates/interview-highlight-template) [Speaker Reel Template | AI-Powered Highlight Clips](/templates/speaker-reel-template) [Multi-Speaker Video Template | OpenClip AI Clip Generator](/templates/multi-speaker-template) [Q&A Video Template](/templates/q-and-a-template) [Testimonial Video Template | OpenClip AI Video Editor](/templates/testimonial-video-template)

### Examples

[Interview to Highlights | AI Video Editing](/examples/interview-to-highlights) [News Segment Highlights](/examples/news-segment-highlights) [LinkedIn Thought Leadership Clips](/examples/linkedin-thought-leadership-clips) [Documentary Teasers](/examples/documentary-teasers) [Customer Success Story Clips](/examples/customer-success-stories)