Show HN: Sieve: We processed 24 hours of video in

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  • automatic-video-processing

    Discontinued Turn any live video stream or locally stored video into a dataset of interesting samples for ML training, or any other type of analysis.

  • Hey HN! I’m one of the creators of Sieve (https://sievedata.com/), and we’re happy to be sharing this with all of you!

    Sieve is an API that helps you store, process, and automatically search your video data–instantly and efficiently. Just think 10 cameras recording footage at 30 FPS, 24/7. That would be 27 million frames generated in a single day. The videos might be searchable by timestamp, but finding moments of interest is like searching for a needle in a haystack.

    We built this [visual demo](https://sievedata.com/app/query?api_key=AIzaSyAfKwf0tuuNOHbY...) a little while back which we’d love to get feedback on. It’s ~24 hours of security footage that our API processed in <10 mins and has simple querying and export functionality enabled. The demo is a security use-case but our platform supports a wider variety of use-cases and metadata. We’re working with a few early customers to explore which ones to dive deeper into (happy to hear ideas on this front from the HN community as well!).

    To try it on your videos: [https://github.com/Sieve-Data/automatic-video-processing](ht...

    Visual dashboard walkthrough: [https://youtu.be/_uyjp_HGZl4](https://youtu.be/_uyjp_HGZl4)

    General FAQ: [https://sievedata.com/faq](https://sievedata.com/faq)

    Just pass this through openai clip and you would get a semantic search without much effort. For example this is for youtube videos - https://github.com/haltakov/natural-language-youtube-search

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