You give it a recording and a plain-language instruction, and it returns new audio. The instruction can be "replace 'Tuesday' with 'Thursday'", "make this sound cheerful", "slow it down a little", "remove the breaths", "take out the regional accent", or "keep only the second speaker". Every task goes through the same instruction box, so there is no separate tool for each job.
It also generates speech from scratch in two ways: clone a voice from a short reference clip and have it read your text, or describe the voice you want in words ("calm, low, middle-aged man") and get speech with no reference at all. On the cleanup side it denoises, removes room echo, pulls one voice out of a crowd, and separates vocals from a music mix. Singers get a lyric editor that rewrites the words while keeping the melody.
This is the Flash variant: the same model distilled to run in four passes instead of many, so a sentence renders in seconds. Tencent's own charts put the base model ahead of other open speech models on generation, editing, enhancement and separation, and the Flash version close behind. It speaks English and Chinese. The weights are MIT, so you can build a product on them.