91% of internet bandwidth is led by videos that your AI does NOT watch... Oriane watches millions of social videos a day, and turns what's on screen, in audio and in captions into a structured intelligence layer for teams and their AI apps to find niche creators, spot content trends, identify viral hooks and more!
Hey PH! I'm Yuri, co-founder of Oriane. This is tool #9 of "10 weeks to launch 10 free tools with Oriane's API".
When a video blows up, you're left guessing why. You rewatch it a few times, skim the comments, maybe screenshot a frame for the team. None of that tells you if it actually reached beyond the creator's own audience, what's really happening frame by frame, or whether the comments are even in a language the video was made for.
The truth is that data already exists. Every frame is timestamped, every word is transcribed, every stat is sitting right next to the video. It's just never been put back together in a way AI can read in one pass.
We built a huge infrastructure that watches and listens to millions of videos across TikTok and Instagram so you don't have to.
This free (and no sign up required) tool is a small slice of that, using our API.
Paste any TikTok or Instagram video link. If it's indexed, you get a synced frame-by-frame and transcript viewer, plus four AI reads: reach vs. the account's own audience, what's actually on screen, the concept behind the video, and what to learn from it, including the parts that didn't work.
All Free. No login. No sales call first.
I'd love your feedback, paste a video you think went viral for the "wrong" reason and tell me what the tool gets right or wrong about it.
The video analyzer pull a video Oriane indexed with everything attached to it, and hand that to an AI to read. It might not be the most technically impressive tool we've shipped from a technical perspective, but the pain it targets can only be solved if you have the data. That's exactly why it's a good demo.
Normally, analyzing a single video means fetching it, running vision on it, transcribing the audio, pulling the stats, and only then can a model say anything useful about it. That's a multi-minute complex pipeline per video, minimum. Here it comes back in seconds, because none of that happens on your side. The frames, the transcript, the metrics, the account context are already structured and sitting there in Oriane.
The interesting part isn't the analysis itself, it's that the analysis becomes trivial once the data layer exists. Any LLM can produce a solid breakdown of a video when you hand it clean structured input. The bottleneck was never the model. It was getting the video into a shape a model can actually read, fast enough to be worth doing.
That's really what the API unlocks. Paste a link, get a full breakdown in seconds. Simple as that !
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Thibaut here, CTO of Oriane 👋
The video analyzer pull a video Oriane indexed with everything attached to it, and hand that to an AI to read. It might not be the most technically impressive tool we've shipped from a technical perspective, but the pain it targets can only be solved if you have the data. That's exactly why it's a good demo.
Normally, analyzing a single video means fetching it, running vision on it, transcribing the audio, pulling the stats, and only then can a model say anything useful about it. That's a multi-minute complex pipeline per video, minimum. Here it comes back in seconds, because none of that happens on your side. The frames, the transcript, the metrics, the account context are already structured and sitting there in Oriane.
The interesting part isn't the analysis itself, it's that the analysis becomes trivial once the data layer exists. Any LLM can produce a solid breakdown of a video when you hand it clean structured input. The bottleneck was never the model. It was getting the video into a shape a model can actually read, fast enough to be worth doing.
That's really what the API unlocks. Paste a link, get a full breakdown in seconds. Simple as that !