Multi-Speaker Video Template | OpenClip AI Clip Generator - OpenClip
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Multi-Speaker Video Template

Transform podcasts, panels, and interviews into engaging short clips with automatic speaker tracking and dynamic framing.

Multi-Speaker Conversation
YouTube Shorts
TikTok
Instagram Reels
LinkedIn

Features

AI Speaker Detection

AI-powered face detection automatically identifies and tracks multiple speakers across your entire video.

Dynamic Cropping

Keeps the active speaker centered in frame with intelligent cropping that switches between speakers naturally.

Word-Level Captions

Synced captions highlight exactly who's speaking with 6 customizable preset styles including Default, Dan, Pop, Mozi, Kendrick, Sara, Lucy, Tayo, and Beast.

Viral Moment Detection

AI analyzes dialogue to identify the most engaging exchanges and conversational highlights worth clipping.

Vertical Short-Form Export

Export clips in vertical (9:16) formats optimized for every social platform.

Batch Processing

Process entire podcast seasons or webinar series at once, generating 5-15 clip candidates per episode automatically.

Frequently Asked Questions

OpenClip's AI-based face detection can track multiple speakers simultaneously. The speaker diarization system identifies who's speaking at any moment and dynamically crops to keep the active speaker centered in frame, making it ideal for 2-6 person conversations.

Yes, OpenClip works with any multi-speaker video format including Zoom recordings, Riverside sessions, SquadCast files, and in-person recordings. As long as speakers are visible on camera, the AI will track and frame them appropriately.

OpenClip generates word-level captions synced to the audio, but speaker name labels are handled through the caption presets. You can choose from 6 styles (Default, Dan, Dan Reveal, Pop, Mozi, Kendrick, Sara, Lucy, Tayo, Beast) that control positioning, highlighting, and visual treatment.

Podcasts, panel discussions, interviews, webinars, roundtable conversations, Q&A sessions, and debate-style content all work excellently. The AI identifies engaging exchanges, disagreements, key insights, and memorable moments from the dialogue.

Standard clipping tools just extract time segments. OpenClip's speaker tracking actively follows faces across frames, crops dynamically to keep speakers centered, and uses diarization to understand who's speaking when—creating professional-looking clips without manual editing.

Yes, OpenClip's batch processing lets you upload multiple long-form videos simultaneously. Each episode typically yields 5-15 clip candidates, making it perfect for repurposing entire podcast seasons or webinar series efficiently.

OpenClip's speaker diarization handles overlapping speech by identifying the primary speaker in each moment. The AI viral moment detection also recognizes dynamic exchanges and interruptions as potentially engaging clip material.

No manual marking required. OpenClip automatically detects faces, tracks speakers across frames, and identifies who's speaking through audio analysis. The entire process is automated from upload to clip generation.

Ready to Repurpose Your Multi-Speaker Content?

Upload your podcast, panel, or interview and let OpenClip's AI find the best moments with automatic speaker tracking.

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