Imagine being an underground rapper who’s transfigured her closet into a recording studio and being able to leverage this technology to have her record sound like Timbaland put the finishing touches on it himself! It’s nuts. Simply, it emulates the human ear and adapts to users’ tastes and preferences. What is extremely compelling about the LANDR approach is that their algorithm analyzes large repositories of previously mastered songs, including songs across genres for similar patterns – and a musician can simply upload a raw song and get it to a finished product seamlessly. Typically, in the song mastering process (by humans) – the actual mastering occurs in the final stages in the production of a song to achieve certain needs such as clarity, richness, and consistency. It then further makes subtle, intelligent frame-by-frame adjustments based on the unique properties of the track. Then, based on the musicians intended need for the record, it applies a custom set of adaptive tools like multi-bad compression, EQ, stereo enhancement, limiting, and aural excitation.
To get a bit more granular – every time a musician uploads a record, LANDR creates a custom ‘digital fingerprint’ of it, which it then cross-references with its database to identify the record’s genre and production style.
#LANDR COST SOFTWARE#
The AI software employs machine learning as people keep uploading tracks in a programmatic manner. Since 2014, it has given “music makers the freedom to create and be heard.” In order to provide this instant audio mastering service (while combining AI with music production), LANDR works by computing each new song uploaded by a musician by analyzing its production style. In short, it is a creative platform for musicians that provides: AI-powered music mastering, distribution, plugins, collaboration promotion and sample packs.
LANDR has a mission to be a slave to the needs of musicians – and it does not get tired.
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