AI video clipper that surfaces highlights from long-form recordings

Webinars, podcasts, all-hands, and interview recordings are goldmines of social clips that never get made. Vimeo's AI video clipper finds the moments worth pulling, generates highlight reels automatically, resizes clips for square and vertical social, and lets you edit each clip by text before publishing. A one-hour recording becomes 15 to 20 social-ready clips in the time it used to take to produce one.
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Why long-form video never gets repurposed

  • Editors don't watch the whole recording

    Nobody has time to scrub a 60-minute webinar looking for the three quotable moments. The recording gets uploaded once, watched by 200 people live, and archived forever.

  • Aspect resizing is a chore

    The quote you want is in 16:9 and social needs 9:16 and 1:1. Reformatting each clip in a desktop editor for LinkedIn, TikTok, Instagram, and Shorts adds an hour per clip.

  • Captions and branding on every clip

    Social clips need captions burned in and brand elements applied. Doing it manually per clip means each clip takes half an hour, so the team ships one or two, not fifteen.

The economics of repurposing long-form to social are broken as long as editors are doing it manually. AI clipping changes the math: instead of one editor producing three clips per hour of source, one editor reviews and publishes 15 to 20 AI-generated clips per hour of source. Vimeo's clipper runs on the same upload that hosts the master, so the workflow lives in one place from recording to social publish.

Auto-generate highlight clips from your long-form recording

Upload your webinar, podcast, or interview to Vimeo, and the AI clipper analyzes the transcript to identify quotable moments, natural chapter breaks, and emotional peaks. It generates candidate clips with in and out points, suggested titles, and captions, ready for review. Reject the ones that miss, keep the ones that work, publish, and iterate the next batch.
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Transcript-based clip detection

The AI reads the full transcript and identifies moments worth pulling: a strong quote, a question answered clearly, a story with a payoff. Each candidate clip comes with a suggested title and description.

Automated chapters and highlights

Chapters break the long-form video into navigable sections in the player. Highlights surface the sharpest moments as standalone clips, so the audience finds value fast.

Suggested titles and metadata

Each generated clip has an AI-drafted title, description, and hashtags for social. Edit for your voice, then publish. No blank-page metadata step per clip.

Captions burned in on export

Auto-captions from the master video carry to every generated clip. Burn captions in for silent-autoplay social feeds, or export the SRT for platforms that accept caption tracks.

Resize for social, edit by text, publish everywhere

For marketing teams running paid social, the combination of AI clipping and aspect resizing produces 10 to 20 clips from one source in the time it used to take to produce one. Reformat clips to 9:16 for TikTok and Reels, 1:1 for LinkedIn and Instagram, and 16:9 for YouTube in one action. Text-based editing tightens each clip by editing the transcript.
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Aspect ratio resizing

One click reformats a clip to 9:16 vertical, 1:1 square, or 16:9 horizontal. Ship one recording as clips for TikTok, Reels, Shorts, LinkedIn, and YouTube from the same source.

Text-based clip editing

Edit each generated clip by editing its transcript. Delete a stumble, trim a preamble, or extend the endpoint by adding words. The clip trims to match, no timeline surgery.

Music, text overlays, and branding

Add music from the royalty-free stock library, layer text overlays and captions, and apply your brand logo and color palette. Every clip ships as part of your brand system.

Per-clip analytics

Track completion rate, engagement, and click-through per clip. See which hook worked for LinkedIn, which cut retained TikTok viewers, and iterate the next batch based on the data.

Trusted by marketers, businesses, and video pros around the globe

  • 100+ billion

    video views (and counting)

  • 7+ million

    videos uploaded every month

  • 4+ billion

    minutes streamed each month

What AI clipping unlocks for a content team shipping social from long-form

AI clipping turns each long-form recording into a batch of social-ready cuts with captions, aspect resizing, and titles included. A weekly podcast becomes 15 to 20 clips a week, a monthly webinar becomes 30 clips a month, and an interview series becomes evergreen content across platforms. Repurposing shifts from expensive editor hours to a sustainable review-and-publish workflow.

  • 15-20 clips per hour of source

    AI clipping produces 15 to 20 candidate clips from an hour of long-form video. A team that used to ship two or three social clips per week ships fifteen without adding headcount.

  • Faster time to publish

    Recording finishes, clips generate, editor reviews and publishes. A webinar can go from wrap to social-live in an hour instead of the next sprint.

  • Every platform aspect

    Ship a single recording as 9:16 for TikTok and Shorts, 1:1 for LinkedIn and Instagram feed, and 16:9 for YouTube. One source, five platforms, no separate re-cut per format.

  • Captions on every clip

    Auto-captions from the master carry to every clip. Burned-in captions for silent autoplay on social, or SRT export for platforms that render their own caption track.

  • Per-clip performance data

    Analytics show which clips converted, which hooks got watched to the end, and which formats performed best per platform. The next batch gets sharper because the data is there.

  • One workspace, host to publish

    The long-form master, the generated clips, and the published outputs live in the same Vimeo workspace. No handoff between tools, no re-uploads, no version drift.

  • Chapters for the long-form master

    The same AI that clips highlights adds chapters to the master video. Viewers on your podcast page or webinar replay skip to the sections that matter without watching linearly.

  • In-video Q&A for long-form

    Viewers can ask a question and jump to the exact moment in the long-form video that answers it. Long-form content becomes searchable instead of linear.

  • Translation into dozens of languages

    Auto-translate captions on both the master and every clip into dozens of languages with an in-player language switcher. Same recording, global social reach.

How to generate highlight clips from long-form video with Vimeo

Vimeo's AI clipper runs on any long-form upload, so the workflow is: record, upload, review, publish. Here's the flow from webinar wrap to social publish.

  1. Step 1

    Upload your webinar, podcast, or interview recording to Vimeo. Auto-captions in 99 languages generate on paid uploads, and the AI clipper analyzes the transcript for highlights.

  2. Step 2

    Open the clips panel. The AI has generated candidate clips with in and out points, suggested titles, descriptions, and captions. Preview each one and keep the ones worth publishing.

  3. Step 3

    Edit each kept clip by transcript: trim filler at the front and back, tighten mid-section pauses, or extend the endpoint. Add text overlays, music, and brand elements.

  4. Step 4

    Reformat clips for social: 9:16 for TikTok and Shorts, 1:1 for LinkedIn and Instagram, 16:9 for YouTube. Burn captions in for silent autoplay or export SRT for native captions.

  5. Step 5

    Publish. Share directly, download the export for scheduling in a social tool, and track per-clip analytics as views come in. Iterate the next batch based on what performed.
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Find the right plan for you

    Vimeo offers discounts to US-based non-profit organizations and educational institutions. Learn more.

    For more information on feature availability, please reference our pricing page.

    Frequently asked questions about AI video clipping

    The clipper analyzes the transcript of your long-form recording to identify quotable moments, questions and answers, story payoffs, and natural chapter breaks. It generates candidate clips with in and out points, a suggested title, and a description, so you're reviewing AI proposals instead of scrubbing the timeline manually to find highlights.

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