Logo & Sponsor Screen-Time Detector
Logo and sponsor screen-time detector. Upload a video and AI finds every brand mark, estimates on-screen seconds, placement, and prominence per sponsor.
Choose the type of analysis you want to perform on your video.
Only models with video understanding are shown. Access depends on your subscription tier.
Supports YouTube, Vimeo, and direct video file URLs. YouTube links work best with Gemini.
What is Logo & Sponsor Screen-Time Detector?
Logo & Sponsor Screen-Time Detector is an AI tool that watches a video and tells you which brands appear, how long each one is on screen, and how prominently it shows up. You upload a clip and the AI scans for logos, wordmarks, on-product branding, apparel, and background signage, then quantifies the exposure each brand earns. Brands and sponsors pay for screen time, but almost nobody measures it accurately. A sponsor might assume their corner bug ran for the whole video when it actually flashed for eight seconds, or a creator might over-deliver and not know it. This tool gives you a fast, honest read of who is getting exposure and how good that exposure is. It counts the distinct brands it can find, estimates cumulative seconds, judges prominence and placement, and rates how naturally the branding fits the content versus feeling like an interruption. The result is a clear sponsor-exposure picture you can use to value a deal, prove you delivered, or decide whether the placement was worth it.
How Logo & Sponsor Screen-Time Detector Works
Upload a video that contains the branding you want to measure, and add a note about which brand to track and the video's total length so the read is accurate. The AI scans the footage for every logo, wordmark, product label, apparel branding, and background signage it can recognize, and it will flag anything blurry or partial as a best guess. For each brand it estimates cumulative on-screen seconds relative to the video length, then judges prominence (how large, centered, and unavoidable the mark is) and placement type (corner bug, full-screen card, on-product, background, apparel, or spoken mention). It scores the overall exposure for effectiveness, not just raw seconds, because ten seconds of a tiny peripheral logo is worth less than three seconds of a centered, lingered-on product. It then lists the brands it detected with their exposure details, flags problems like logos too small to read or exposure clustered in one ignored moment, and names the one change that would most improve sponsor value.
Benefits of Logo & Sponsor Screen-Time Detector
- See exactly which brands appear in a video and roughly how many seconds each one holds the screen.
- Value a sponsorship deal with real exposure data instead of a vague sense that the logo was in there somewhere.
- Prove to a sponsor that you delivered the placement and screen time you promised.
- Judge prominence and placement, not just raw seconds, because a centered product shot beats a tiny corner bug.
- Spot when branding is too small, obscured, or clustered in a moment viewers skip.
- Compare exposure across multiple brands in one video to see who dominates and who gets lost.
- Get one priority fix to make the next placement read clearer and earn more media value.
Tips for Best Results
- Tell the AI which specific brand to track and the total video length so the second-estimates stay accurate.
- Upload the full video rather than a trimmed clip if you want a true cumulative screen-time read.
- Mention the sponsorship context (paid integration, gifted product, your own brand) so the effectiveness read fits your goal.
- Use it before invoicing a sponsor to confirm you actually delivered the agreed exposure.
- Run competing pieces of content through it to see which format gives a sponsor more prominent screen time.
- Note that fast flashes and turned-away labels lower a brand's identifiability, so plan to linger on key marks.
- Re-run after editing to confirm the priority fix actually raised the brand's prominence.
Popular Use Cases
- Creators valuing a sponsorship so they can price the next deal on real exposure rather than a guess.
- Brands auditing whether the placement they paid for got the screen time and prominence they expected.
- Agencies measuring media value across a batch of influencer videos before reporting to a client.
- Sponsorship managers checking that on-screen branding in event or stream footage met the contract.
- Marketers comparing integration styles to learn which gets a logo noticed without feeling forced.
- Creators proving delivery to a sponsor with a clear breakdown of where and how long the brand appeared.
- Teams reviewing their own product placements to catch logos that are too small or obscured to register.
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