ChopLab

The core action takes one upload and returns up to 16 separate samples. ChopLab uses AI signal processing to find the natural cut points in a track, so the slices land on the hits instead of mid-note. For producers, this replaces the slowest part of sampling, the part where you nudge slice markers until they finally sound right.

Before chopping, you can split a track into its parts: vocals, drums, and instruments. That matters when you want one clean layer rather than the whole mix. Pulling the vocal out of a track and dropping it over a new beat is a familiar move, and doing it here takes one step instead of a separate stem tool.

Samples land in a 16-pad layout you can trigger with a MIDI controller or by clicking. It's the same grid logic used by hardware and software drum machines, so if you already play one, this feels familiar. You get a drum rack you can jam on right away, not a folder of files to sort through first.

ChopLab reads the key and tempo of the source and tags the samples with that data. When you're building a beat, samples that already match your project's key and BPM drop in without pitch-shifting or time-stretching. It's a small thing that saves a lot of fiddling.

Each sample opens in a waveform view where you can preview it and adjust the length before saving. Trimming a slice so it starts on the transient and ends before the next hit keeps a chop tight. Without this step, short samples tend to carry extra noise at the edges.

The samples you save go into a personal library you can filter by key, instrument, and genre. Over time this becomes your own pack, built from audio you chose. You can come back to it across projects instead of rebuilding the same sounds every session.