The all in one clipping machine for 

Auto Clip and Clip That can clip and render moments from a stream as soon as it goes live, so it's uploading new videos before the stream even ends — without you having to touch a thing if you don't want to.

Most tools run a transcript through an AI prompt and that's it. Cutline looks at:

• Full-stream context — watches the full stream and knows what's happening, including who's who and matching names to faces
• Advanced video understanding — catches what a transcript can't: laughter, emotion, or an item getting thrown
• Live chat — chat spikes and chat reactions, like somebody typing "clip that," all become data used to find a moment worth clipping
• The transcript — used as one input, but not the whole picture
• Story loops — tracks storylines and running jokes across the entire stream, so a bit set up 20 minutes before the payoff still comes back as one coherent moment
• Bubble captions — every clip comes back with a generated caption, trained on Gen Z slang and emojis and always updating, built to stop the scroll

Finding the moment is half of it. A podcast clip still has to be cut like someone sat down and edited it, and Cutline does that part too:

• Speaker tracking — follows who is actually talking and cuts to them, so the clip is never sitting on the wrong person through the punchline
• Face tracking — keeps each speaker framed as they move, lean back or turn, instead of a static crop that loses them
• Auto cutting — trims the dead air, the false starts and the crosstalk, and paces the cuts to how the conversation actually moves
• Auto graphics — captions, names and on-screen text placed where they belong in the frame, so nothing lands on top of a face

Rate every clip the pipeline returns. Thumbs up for more like this, thumbs down to stop seeing clips like this. Your next run shifts toward what you actually want.

And even if you never train it, it's still learning. Cutline watches where you make manual clips or hit "clip that," tracks how your clips perform once published, and feeds all of it into future runs.