--- title: 'Automatic Speaker Tracking Guide - OpenClip' description: "Learn how OpenClip's AI speaker tracking keeps every speaker centered in your clips. Step-by-step guide for podcasts, interviews, and multi-speaker videos." canonical: 'https://openclip.app/guides/speaker-tracking-guide' markdown: 'https://openclip.app/guides/speaker-tracking-guide.md' --- Speaker Tracking Guide # How to Use Automatic Speaker Tracking for Perfect Framing Automatically keep the active speaker front and center in every clip — no manual cropping or timeline editing required. intermediate 15 min Automatic Speaker Tracking ## Prerequisites - An OpenClip account (Starter plan or above) - A video featuring one or more on-camera speakers with visible faces - MP4 or MOV video file, or a supported video URL ## Steps 1 ### Upload a video with one or more speakers Upload your long-form video to OpenClip. Speaker tracking works best with videos that feature visible speakers on camera — interviews, podcasts with video, webinars, panel discussions, or talking-head content. Tip: Speaker tracking requires visible faces in the video. Audio-only podcasts or fully animated content won't benefit from this feature. 2 ### Let OpenClip detect and identify speakers OpenClip uses AI-based face detection combined with speaker diarization to identify all visible speakers in your video. The AI tracks each face across video frames and correlates visual presence with the active speaking voice. Tip: For best detection results, ensure your source video has reasonable resolution and that speakers' faces are clearly visible — avoid extreme backlighting or very small face sizes in frame. 3 ### Review the clip candidates with speaker tracking applied When OpenClip generates your clip candidates from viral moment detection, speaker tracking is applied automatically. Each clip dynamically crops to keep the active speaker centered in a vertical (9:16) frame — even as the active speaker changes throughout a clip. Tip: Watch each clip preview to confirm the tracking looks natural. In high-quality source videos, the transitions between speakers should feel smooth and professional. 4 ### Understand how multi-speaker tracking works In multi-speaker videos like interviews or panels, OpenClip tracks each individual face and switches the dynamic crop to follow whichever speaker is currently talking. The face detection model identifies the active speaker frame by frame, ensuring the right person is always in focus. Tip: Videos where speakers sit close together or frequently interrupt each other may show faster crop transitions. This is expected behavior and reflects real conversational dynamics. 5 ### Select your export aspect ratio Choose your target aspect ratio for export: 9:16 (vertical) for TikTok, Instagram Reels, and YouTube Shorts; and Instagram feed;. Speaker tracking dynamically reframes each clip for the selected ratio. Tip: Vertical 9:16 format benefits the most from speaker tracking — it transforms wide-shot horizontal footage into a close-up, mobile-native viewing experience without manual cropping. 6 ### Add captions and export your tracked clips Apply your preferred caption preset from OpenClip's 10 available styles. The captions are positioned in the safe zone of your tracked, reframed clip. Export your final video and download it for publishing. Tip: Pairing speaker tracking with bold caption presets like 'Beast' or 'Pop' creates the high-energy, face-forward short-form content style that performs strongly on TikTok and Reels. ## What You'll Achieve Professionally reframed short-form clips that automatically keep every speaker centered and in focus — optimized for vertical and square mobile formats. ## Features ### AI Face Detection State-of-the-art object detection model tracks speaker faces across every frame ### Multi-Speaker Support Tracks multiple speakers and dynamically switches crop to the active voice ### Fully Automated Reframing No manual cropping — AI handles all framing decisions automatically ### Any Aspect Ratio Reframes wide-shot footage into 9:16 vertical with speaker centered ### Speaker Diarization Correlates visual face tracking with active speech for accurate speaker switching ### Works with AI Clipping Speaker tracking is applied automatically to every AI-detected clip candidate ## Frequently Asked Questions ### What technology does OpenClip use for speaker tracking? OpenClip uses AI-based face detection combined with speaker diarization. AI is a state-of-the-art real-time object detection model that identifies and tracks faces across video frames. Speaker diarization correlates the visual face data with who is actively speaking at any given moment. ### Does speaker tracking work for videos with multiple people on screen? Yes. OpenClip's speaker tracking is specifically designed for multi-speaker scenarios like interviews, podcasts, panels, and conversations. The AI tracks each individual face and dynamically shifts the crop window to keep the currently active speaker centered in the frame. ### What types of videos benefit most from automatic speaker tracking? Any video with visible on-camera speakers benefits from tracking — especially podcasts with video, two-person interviews, panel discussions, webinar recordings, and talking-head content recorded in 16:9 landscape format that needs to be converted to vertical 9:16. ### Does speaker tracking work if the source video was filmed vertically? Speaker tracking works on any source video format. However, it's most impactful when converting wide horizontal footage to vertical (9:16), as the reframing process would otherwise cut off speakers without intelligent tracking. ### Can speaker tracking handle off-screen speakers or speakers not facing the camera? Speaker tracking relies on visible face detection. If a speaker is off-screen or has their face obscured, the face detection model will focus on the visible on-screen faces. For best results, ensure all speaking participants are clearly visible on camera. ### How is OpenClip's speaker tracking different from other clipping tools? Many AI clipping tools crop to a fixed position or use basic motion detection. OpenClip uses AI face detection combined with speaker diarization to actively track the speaking face — meaning the crop follows the right person, not just movement, even as speakers change throughout a clip. ### Do I need to do anything to enable speaker tracking, or is it automatic? Speaker tracking is applied automatically as part of OpenClip's clip processing pipeline. When you select a clip candidate for export, the AI handles detection, tracking, and reframing without any manual configuration required. ## Turn Any Interview Into a Scroll-Stopping Clip Upload your video to OpenClip and let AI handle the framing — perfect speaker tracking on every clip, automatically. [Get Started Free](https://openclip.app/register) ## Related Pages ### Guides [Instagram Reels Optimization Guide](/guides/instagram-reels-optimization) ### Use Cases [Town Hall Recap Clips for Internal & Social Distribution](/use-cases/town-hall-recap-clips) ### Related Workflows [OpenClip for Coaches & Consultants on YouTube](/for/coaches-consultants/youtube) [OpenClip for Course Creators + YouTube Shorts](/for/course-creators/youtube-shorts-template) [OpenClip for SaaS: Product Demo Clips | AI Repurposing](/for/saas-companies/product-demo-template)