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Media understanding
Know why a post worked.
OctoSpark reads every image, video, and audio you post (scenes, objects, transcripts, colours, pace) and attaches that metadata to the post. So when you ask what is working, you get a real answer, not just a number.
- Metadata from images, video, and audio
- Attached to every post you publish
- Turns analytics into real explanations
What you can do.
Every medium, understood
Images, video, and audio are analyzed for scenes, objects, on-screen text, transcripts, dominant colours, and pace.
Attached to the post
That metadata travels with the post, so performance is tied to what the content actually was, not just when it went out.
Analytics that explain
Ask what is working and get answers grounded in content: hook, format, length, palette, pace, not only impressions.
Feeds the agent
Your agents read the same metadata, so the next draft learns from what already worked.
How it works.
- 1
Publish with media
Post an image, a video, or an audio clip as normal.
- 2
OctoSpark reads it
Scenes, objects, transcripts, and colours are extracted automatically.
- 3
Ask what worked
Analytics explain performance in terms of the content itself.
Frequently asked questions.
Scenes, objects, on-screen text, transcripts, dominant colours, and pacing across images, video, and audio.
Raw numbers do not tell you why. With content metadata attached, you can see which hooks, formats, and palettes actually drive performance.
No. Enrichment runs automatically on the media you publish.
Yes. Agents read the same metadata, so drafts improve based on what has worked before.
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