ai video analyzer see exactly why a video went viral.
paste any tiktok, instagram reels or youtube shorts link. the video gets decoded frame by frame, hook, cut rhythm, on-screen text, audio and psychology, and comes back as a playbook you can film.
you have already watched the video. you still cannot explain it.
01
a competitor posts. it does a million views.
you watch it three times and still cannot name what they did differently — the hook device, the cut rhythm, the beat that held people past second three.
02
your research is screenshots and notes.
manual teardowns take an hour per video, live in a doc nobody reopens, and never turn into a repeatable format your team can film again.
03
platform analytics tell you what, never why.
views, watch time and follower counts describe the outcome. they say nothing about the craft inside the frames that produced it.
ai video analysis in three moves.
no editing timeline, no manual screenshotting — from a url to a production-ready read.
- 01paste
drop in any short-form link
paste a tiktok, instagram reels or youtube shorts url. no editing project, no re-upload, no manual clipping.
- 02decode
frame by frame video analysis
the video itself gets decoded — not its title, hashtags or description. hook device, shot changes, on-screen text timing, audio cues and composition, read at frame level.
- 03act
a playbook you can film
the breakdown collapses into topic angles, hook directions, a beat map and timing guidance you can shoot against the same day.
every viral video breakdown runs on eight axes.
each axis returns an analysis, a recommendation and production guidance — so the output reads like a brief, not a report.
01
topic
which subjects are actually pulling views in your niche right now.
02
hook
the first-seconds device, phrasing and framing that stops the scroll.
03
pattern
the repeatable structure a format follows from open to payoff.
04
content flow
beat-level pacing: where tension builds, holds and releases.
05
visuals
shot composition, motion, on-screen text and visual density.
06
audio & music
track choice, sound design and how audio drives retention.
07
viewer psychology
the mechanism doing the work, curiosity gap, status, relief, proof.
08
audience profile
who the video is actually landing with, and why it resonates.
metadata tells you it worked. frames tell you why.
surface metadata only
what most tools read
- title text
- hashtags
- description
- follower count
- like count
frame-by-frame analysis
what studio reads
- hook device in the first 2 seconds
- shot-by-shot structure and cut rhythm
- on-screen text timing and hierarchy
- audio cues mapped to retention beats
- visual composition and motion load
- the psychological trigger being pulled
studio was one of the first products to run frame-level video decoding at scale, and every conclusion is grounded in continuously monitored real content across the three platforms.
one analyzer, three very different games.
tiktok
tiktok video analyzer
sound-led and trend-driven. the analyzer reads how a track, a caption reveal and a first-second visual gag combine into the scroll stop.
tiktok video analyzer →youtube shorts
youtube shorts analyzer
channel-led and retention-sensitive. the analyzer maps where the loop closes and how the payoff is set up against the run time.
youtube shorts analyzer →instagram reels
instagram reels analyzer
aesthetic-led and share-driven. the analyzer reads visual density, text hierarchy and the save-worthy moment inside the edit.
instagram reels analyzer →built for anyone who has to decide what to film next.
- creators
- stop guessing your next video. find the viral videos in your niche and build against the structure that already worked.
- brand social teams
- turn a scroll session into a defensible content brief your editors and freelancers can execute without a rewrite.
- agencies
- run a repeatable teardown process across every client account instead of relying on one person's taste.
- competitor research
- tiktok competitor analysis at the craft level — see exactly which formats a rival channel is compounding on.
run this analysis continuously on your whole niche — meet 2mv studio.
video analysis questions, answered.
general chat assistants can describe a clip or read its transcript, but they are not built to measure short-form performance. a dedicated ai video analyzer decodes the video at frame level and grounds the read in continuously monitored real content across tiktok, instagram reels and youtube shorts.
most ai video analysis products are enterprise video-understanding platforms built for indexing and search. 2mv is built for the opposite job: explaining why a short-form video went viral and what to make because of it.
paste the url, let the analyzer decode it frame by frame, then read the breakdown across topic, hook, pattern, content flow, visuals, audio, viewer psychology and audience. each axis returns an analysis, a recommendation and production guidance.
short-form video across tiktok, instagram reels and youtube shorts.
no. it outputs direction — topics, hook angles, structure, pacing, visual and audio guidance. filming and editing stay with you.
platform analytics report the outcome on your own account. this reads the craft inside anyone's video: the devices, structure and psychological triggers that produced the outcome.
instead of reading metadata, the video is decoded shot by shot: the hook device in the first two seconds, cut rhythm, on-screen text timing and hierarchy, audio cues mapped to retention beats, and visual composition.
Viral
no longer a mystery.
Start getting full visibility into what makes content go viral.