And in theory, Landr’s algorithm is improving with every song uploaded to the platform. ArsTechnica published a scathing review in 2016, calling Landr’s auto mastering an “auto turd,” but others say it does the job. If you’re not happy with what Landr’s output gives you, you can’t ask it to finesse the sound the way you would with a human engineer. It’s a catchall approach, and it’s not exactly flexible. You can upload the song you want mastered, let Landr’s algorithm analyze it, choose between three options for how strongly you want effects applied, and then export the result. Landr is one of the most popular such services, hosted as a web service. But no matter how they operate, the goal is the same: mastering audio with a couple clicks. Some use deep learning networks, which analyze the data fed to it over time, while others use a carefully crafted signal chain designed by a human and deployed as software.

Those prices can break the bank for indie artists and bedroom producers.īut over the past few years, automated options have popped up that promise artists access to professional-sounding mastering without the costs of human engineers. Depending on the engineer’s experience, it can cost anywhere from hundreds to tens of thousands of dollars for a single track, thanks to the critical listening skills involved. “You can make the sky bluer, the greens greener” As mastering engineer Ian Cooper says, mastering is “a bit like photography - you can make the sky bluer, the greens greener.” Without mastering, the song will be quieter and less punchy. With a good mixdown, a mastering engineer will make sure they understand the sound you’re going for and help you get there.

The process is a blend of science and personal taste. The goal of mastering is to make the listening experience balanced and cohesive from song to song. Mastering is the final step in audio post production, and balances out all of a song’s elements so it will sound consistent no matter how you’re listening to it - on Spotify, in iTunes, or on a CD.

Now, AI is reaching the mastering process, raising hard questions about the need for human experts in the most specialized areas of music production. Algorithms have been infiltrating nearly every part of music making, from generating original drum loops to writing melodies, producing parts that are increasingly hard to distinguish from human players. Making music is one of the most human things we do, but in recent years, AI has stepped in to lend a helping hand.

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