Uses machine learning to automatically master tracks with optimal EQ, compression, and limiting.
Distributes music to major streaming platforms like Spotify, Apple Music, and Amazon Music.
Enables sharing and real-time collaboration on music projects with feedback and version control.
Provides insights into streams, royalties, and performance across distributed platforms.
Offers various mastering presets tailored to different genres and sound styles.
Supports audio formats up to 24-bit/96kHz for professional-quality output.
Flexible usage model where mastering credits are consumed per track processed.
Solo musicians use Landr to master their tracks before release, ensuring professional sound quality without studio costs.
Bands collaborate and master entire albums using Landr's tools, streamlining the production process for cohesive releases.
Record labels distribute multiple artists' music globally through Landr's integrated platform, managing releases efficiently.
Podcasters improve audio quality for better listener experience by mastering episodes with Landr's AI tools.
Composers master soundtracks for films and videos, achieving cinematic sound with automated processing.
Teachers use Landr to demonstrate audio processing techniques in music production classes, making learning interactive.
DJs master mixes for streaming or live performances, ensuring consistent loudness and clarity across tracks.
Sound designers process audio for games or multimedia, using Landr to enhance and finalize sound effects.
Amateurs learn and apply mastering techniques easily with Landr's user-friendly interface and guidance.
Artists manage and track royalties from various streaming platforms through Landr's analytics dashboard.
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