Streamdat
Upload once. We listen to the whole thing, find the moments people actually want to watch, and hand you vertical clips with captions — without juggling a pile of tools.
Workflow
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 to the platforms you use, then see what landed — all in one loop.
Signals
There is no single magic number. We blend several cues — how the story lands, how it sounds, how the picture moves — then blend them into one score you can scrub through below.
llm
Does this beat work if someone scrolls in cold?
audio
Volume and emphasis that line up with excitement on screen.
scene
Cuts and motion that mark a new moment.
sentiment
The emotional tone carried in what is being said.
hook
Patterns in openings that tend to grab attention.
chat
When a crowd reacts all at once — where chat exists.
trend
Timely phrases that match what people are searching for.
perClip
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
10/ 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 — a different scale.
Jump into the app on your workspace. If you are still in private beta, your invite and DNS live on the app side.
Continue to app →Integrating 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.
The list grows release by release. Check the in-app integrations screen for what is live today.
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).