Hi HN! SavvyCut is a browser based video cutting tool that automatically cuts out non-speech parts of videos and creates jump cuts.
This can be quite a time saver for content creators that spend a lot of time manually trimming their videos in more complex video editors.
It preserves both your privacy and your bandwidth by running locally in the browser using WebAssembly without uploading anything to cloud servers.
It turns out that for many use cases (vloggers doing stuff while talking / gaming / outdoor noise) a simple volume threshold is not sufficient, so it uses an ML based approach to detect speech.
This looks great behel. I am not a content creator perse, but I do make training videos at work which are usually me demoing some feature of software or going over a PowerPoint presentation.
I signed up, and I will be giving this a go.
Just a note, for long email addresses looks like your email template for verification is overflowing a little bit (no big deal though).
Also, as someone who tends to have to listen to a ton of recorded meetings...if this technology was included automatically with Microsoft Teams and their recording it would be a huge time saver.
Great idea to apply it to recorded meetings! That sounds like a good B2B use case besides content creation. I guess you can directly use it on the recorded video files from Teams, but I would agree a proper integration would be much better.
Thanks for the feedback aphit!
Great to hear that you found it useful outside content creation as such. You are right you can also apply it to something like presentations or screencasts. That's actually what I started with, explainer videos and talks.
I will have a look at the e-mail entry field as I wanted to customize the auth0 login screen anyway.
Hi HN! SavvyCut is a browser based video cutting tool that automatically cuts out non-speech parts of videos and creates jump cuts. This can be quite a time saver for content creators that spend a lot of time manually trimming their videos in more complex video editors. It preserves both your privacy and your bandwidth by running locally in the browser using WebAssembly without uploading anything to cloud servers. It turns out that for many use cases (vloggers doing stuff while talking / gaming / outdoor noise) a simple volume threshold is not sufficient, so it uses an ML based approach to detect speech.
This looks great behel. I am not a content creator perse, but I do make training videos at work which are usually me demoing some feature of software or going over a PowerPoint presentation.
I signed up, and I will be giving this a go.
Just a note, for long email addresses looks like your email template for verification is overflowing a little bit (no big deal though).
Also, as someone who tends to have to listen to a ton of recorded meetings...if this technology was included automatically with Microsoft Teams and their recording it would be a huge time saver.
Great idea to apply it to recorded meetings! That sounds like a good B2B use case besides content creation. I guess you can directly use it on the recorded video files from Teams, but I would agree a proper integration would be much better.
Thanks for the feedback aphit! Great to hear that you found it useful outside content creation as such. You are right you can also apply it to something like presentations or screencasts. That's actually what I started with, explainer videos and talks. I will have a look at the e-mail entry field as I wanted to customize the auth0 login screen anyway.