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Subject-tracking landscape-to-vertical video reframer

AI-discovered

Problem

Creators repurposing landscape YouTube videos into vertical Shorts/Reels find that mainstream conversion tools just center-crop the frame, cutting off the speaker or the action. They want a tool that actually tracks the subject and dynamically reframes the vertical crop as the video progresses.

Opportunity

A one-click landscape-to-9:16 converter with real speaker/action tracking (ML-based crop following), aimed at the huge repurposing workflow of YouTubers and social media managers tired of manual re-editing.

Market analysis

The demand is massive, but the premise that no tool tracks subjects is wrong: Adobe Premiere's Auto Reframe, Opus Clip, Kapwing Smart Cut, Submagic, and purpose-built converters like Portrait AI and Vidocu all advertise exactly this capability, some free. The poster likely hit the low end of the market — free tools that only center-crop. The remaining opening is not capability but quality-per-dollar: reliable tracking on multi-subject or fast-action footage at creator-friendly pricing, which is a brutal position against VC-funded competitors.

Market · YouTubers, social media managers, and agencies repurposing long-form into Shorts/Reels/TikTok; a documented, high-volume workflow bottleneck (10-30 minutes of manual reframing per clip).

Pricing · Category runs freemium-to-subscription: Vidocu offers a free reframer while Opus Clip, Kapwing and Submagic sell subscriptions; expect $10-30/month as the crowded mid-band.

score 4/10 by glm-5.1

Pros

  • + Large, growing audience with an established repurposing workflow and real time-pain.
  • + Well-understood tech: face/person detection plus velocity-bounded crop tracking is solved engineering.
  • + One-click utility shape suits product-led, self-serve distribution.

Cons

  • − Saturated: at least six tools, including free ones, already claim subject tracking.
  • − Differentiation only on tracking quality is expensive — it means per-frame ML at video length, i.e. GPU costs that free tiers can't absorb.
  • − The poster's complaint pattern (tools 'just center crop') suggests users churn through free options rather than pay.

Source

r/EntrepreneursGrind (Reddit)

Open original thread ↗

The interesting signal in the post is not “no tool does this” but “three tools failed me” — which reframes the opportunity from building a tracker to fixing tracker trust. Tracking quality degrades on exactly the footage creators care about: two speakers crossing, demos with hands and screens, sports. A product that wins here would lead with honest failure handling — confidence scoring, visible keyframe editing when tracking is uncertain, and a “we flag what we mangled” guarantee — rather than another one-click promise. Competing on being the tool that tells you when not to trust it is contrarian, cheap, and the only positioning the incumbents’ marketing can’t copy without undercutting themselves.