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LANDR

LANDR Mastering Plugin

The industry-renowned AI mastering engine, fine-tunable and in your DAW. Trusted by top audio engineers to produce quick, pristine, release-ready masters.

Rent-to-Own

19.95/mo.
for 15 months
  • Try free for 3 days
  • Cancel at any time
  • No hidden fees or interest
Compatible with macOS and Windows.
Available as AU, VST3, and AAX.

Fast, simple AI mastering

Built on over a decade of research, LANDR's AI mastering technology gives everyone the power to create pro-level mastered versions of their tracks. The LANDR Mastering Plugin integrates with any major DAW, delivering fast, reliable results trusted by major labels and artists like Lady Gaga, Gwen Stefani, Snoop Dogg, Seal, and more.

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A workflow game-changer

Real-time processing in the plugin lets you hear your mastered sound as you perfect your mix, letting you make revisions without disrupting your workflow. Avoid time-consuming bounces out of the DAW and revise track versions on-the-fly.

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Masters made for you

LANDR’s AI tech analyzes your track to deliver three unique, professional masters. Beyond simple Presets, each is sculpted to your specific track. Release songs using one of the masters as-is, or use a range of intuitive controls to personalize your master even further.

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Shape your sound

Revise your AI-powered master through a set of intuitive controls: 3-Band EQ, Stereo Image, Compression, Saturation, Loudness, Vocal Presence, and De-Essing.

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Testimonials
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The LANDR Mastering Plugin brings years of expert-trained AI to the tip of your mouse pointer. It’s the fastest, easiest way to make a song sound great!

Tom Kahre (Multi-platinum, GRAMMY Award-nominated engineer / producer / songwriter / musician for Kanye West, Big Sean, Kesha, Kid Cudi, Pusha T)

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With the LANDR Mastering Plugin seamlessly integrated into my DAW, I can deliver masters that meet and exceed expectations of both indie clients and majors.

Devine Evans (5x GRAMMY Award-winning producer for Rihanna, Camilla Cabello, Pharrell Williams)

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As an independent artist and producer, I master a lot of my music. Using the LANDR Mastering Plugin on my single 'Melanin Drip' I was blown away by the results.

Elle E.D. (Artist and NAACP Image Award-winning songwriter / vocal Pproducer for Lady Gaga, Nicki Minaj, Queen Latifah, Mary J Blige)

Product Information
Overview
  • Standing on 10+ years of research, development, and innovation in the AI mastering space, LANDR's AI technology has been trained using the best practices of real mastering engineers from pop music to film soundtracks and everything in-between. With millions of satisfied artists, the LANDR Mastering Plugin brings that technology into the DAW, offering the same professional grade with even more speed and efficiency.
  • With the plugin on your mixbus, LANDR's AI mastering tech can listen to the loudest part of your track to analyze it. The mastering engine then delivers 3 unique, professional masters tailored to your track. Revise with intuitive controls and hear how your mix affects your eventual master chain. A sleek, user-friendly interface simplifies the process, smoothly integrating with any major DAW and offering pro-level masters without the steep learning curve.
  • Featuring:

    • - OVER 10 YEARS OF AI MASTERING TECHNOLOGY – Refined by a decade of research and innovation with real mastering engineers
    • - SOUNDS GREAT EVERYWHERE – Exceptional audio quality in any listening environment
    • - PERSONALIZED MASTERING – Audio processing that adapts to the unique characteristics of your track
    • - FAST AI ANALYSIS – Make great masters in less time
    • - REALTIME PROCESSING – Hear the effect of on-the-fly mix adjustments to your masters
    • - SPECTRAL DISPLAY – Visualize frequency changes between the original track and master
    • - MASTERING STYLE – Choose from Warm, Balanced, or Open masters to match your track
    • - INTUITIVE ADVANCED CONTROLS – 3-Band EQ, Stereo Image, Compression, Saturation, Loudness, Vocal Presence, and De-Essing
    • - Learn about the full feature set here.
System Requirements
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