Streamdat scores every moment of your VOD across multiple signals, then renders vertical clips with captions ready to post.
The 1v4 clutch nobody saw coming
2:41:07 · hook + audio energy + payoff
“I’ve never seen that item combo work”
1:03:52 · sentiment + dialogue arc
Failed speedrun skip, instant recovery
0:22:18 · scene change + hook
No single cue makes a highlight. We read how the story lands, how it sounds, and how the picture moves, then fuse them into one score.
Loudness spikes, laughter, and crowd noise mark moments the transcript alone would miss.
Does this beat work if someone scrolls in cold?
Cuts and motion that mark a new moment.
The emotional tone carried in what is being said.
Patterns in openings that tend to grab attention.
Openings only count when the moment pays off inside the clip window.
Timely phrases that match what people are searching for.
How intense this slice feels compared to the rest of the video.
Clip finder
Drag the playhead to see how different ingredients contribute to the same moment. This is a stylized preview, not a real upload.
Illustrative blend along a sample timeline, not a real upload.
Sample blend at
0:00:0010 / 100
Cue strength at this moment
Each bar is how strong that cue is right now (scaled to the strongest cue). The headline score is the overall blend, on its own scale.
Built for creators who ship on a schedule. Steady beats one-off exports.
Upload a file or add a link. Everything queues in one place so you are not babysitting tabs.
We score moments using story, sound, cuts, mood, and more, then trim near-duplicates so your feed stays fresh.
Tall frames, captions, and simple style presets so each clip feels finished, not cropped in a hurry.
Push finished clips to your channels and schedule the rest. More platforms are coming soon.
Jump into the app on your workspace. If you are still in private beta, your invite and DNS live on the app side.
Start clippingIntegrating or extending Streamdat? See the technical documentation.
No. It is built as a pipeline: bring video in, rank the best beats, export polished verticals, publish, then read results. You steer with presets and plain language, not keyframes.
YouTube publishing is in a limited testing phase while Google completes its verification review. TikTok, X, Instagram, Facebook, and Reddit publishing are coming soon.
Production Streamdat runs on the cloud setup your team chooses (for example AWS). This marketing site is hosted separately.
On this site under /ai/docs: architecture, authentication, workflows, plugins, API links to OpenAPI, and how to run Streamdat_app locally. The full operator runbooks live in the Streamdat repository docs/ tree (MkDocs).