Video reviewers lose time scrubbing for the moment behind a vague comment. Hive AI Proofing samples the timeline, inspects targeted frames and visual regions, reads on-screen text, and grounds each suggestion to the moment the team needs to revisit.
THE NEW WORKDAY
LESS
ADMIN.
3
00:18
00:30
FROM FIRST PASS TO FINAL HUMAN APPROVAL
The work is different. The standard stays visible.
01
Advertising & regulated video
DTC ADS
BROADCAST
DISCLOSURES
CLAIMS
02
Social & campaign cutdowns
SOCIAL
PAID MEDIA
END CARDS
SAFE AREAS
03
Product demos & training
PRODUCT DEMOS
ONBOARDING
HOW-TO
TRAINING
04
Localized & accessible cuts
Review visible captions, lower-thirds, translated on-screen copy, text clipping, contrast, and other visual accessibility details.
CAPTIONS
LOCALIZATION
LOWER-THIRDS
READABILITY
HOW AI SPEEDS REVIEW
Less hunting. More deciding.
01
Sample the whole timeline
Buzz creates coverage across the video, then revisits targeted frames and high-resolution regions when an issue needs a closer look.
02
Search what is on screen
OCR-assisted inspection helps locate visible copy, logos, disclaimers, URLs, and other details without relying on manual scrubbing alone.
03
Comment on the exact moment
Every visual finding carries time-based evidence so editors and reviewers can jump directly to the relevant frame and resolve it.
WHAT BUZZ CAN HELP CHECK
Review the details people shouldn’t have to find twice.
01
On-screen claims, disclaimers, end cards, and approved language
02
Caption visibility, text contrast, size, duration, and readability
03
Logo use, safe areas, lower-thirds, and visual hierarchy
04
Clipped UI, layout collisions, and outdated screen copy
05
Localized copy expansion and channel-specific variations
06
Guideline alignment, prior feedback, and time-coded evidence
EVIDENCE OVER GUESSES
Real video review use cases live in the frames.
COMMON QUESTIONS
Before you hand it off.
What are real use cases for AI video review?
Useful cases include advertising and regulated-video checks, social cutdowns, product demos, training and how-to videos, localized versions, captioned cuts, webinars, and customer stories. The strongest workflows focus on visible evidence such as on-screen text, disclaimers, logos, layouts, and time-coded changes.
How does AI speed up video proofing?
AI can sample the timeline, inspect targeted frames, search visible on-screen text, and attach a finding to the relevant moment. Reviewers spend less time hunting for context and more time evaluating the issue.
Does Hive review a video’s audio?
This experience is focused on visual video proofing: frames, regions, on-screen text, visible captions, layout, brand use, and time-coded evidence. Audio, transcript, and final compliance checks should remain part of your broader human review workflow.
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