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AudioShake

audioshake.ai

Audio Editing Open Source

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Listed since

May 20, 2026

Audience

Best for: Music Producers, Video Sound …

Pricing

Open Source

About AudioShake

TL;DR

AudioShake is an advanced artificial intelligence platform designed to separate audio tracks into their individual component parts, commonly referred to as stems. Aimed at music producers, sound engineers, content creators, and developers, the tool uses proprietary machine learning models to isolate vocals, drums, bass, and other instruments from any pre-recorded audio file. By breaking down a single mixed track into distinct layers, it allows users to repurpose existing music for sync licensing, remastering, remixing, and interactive applications. The technology behind AudioShake is particularly useful for breathing new life into older recordings where the original multi-track sessions have been lost. Additionally, its capabilities can be integrated into third-party applications via an API, making it a highly scalable solution for media companies and platforms looking to offer customizable audio experiences. Whether the goal is to create clean acapellas, instrumental backings, or interactive gaming soundtracks, this platform delivers precise results that streamline the post-production workflow.

Use Cases

Real-world scenarios where AudioShake saves time.

Use Case 1: Music Vocal Separation

Problem: Karaoke developers need clean instrumental backing tracks without vocals.
Solution: Splits complete mixed music tracks into separate clean stems.
Example: An engineer extracts vocals and instrumental elements into separate files.

Use Case 2: Dialogue Isolation for Film

Problem: Location recordings often have heavy background noise or music overlap.
Solution: Targets and removes background noise to preserve dialogue clarity.
Example: A video editor cleans up a recorded street interview with severe car noise.

Use Case 3: Sync Licensing Preparation

Problem: Music labels want to sell track stems for TV placements but lack the master folders.
Solution: Separates classic mixed tracks into precise high-fidelity stems.
Example: A music producer extracts clean drum and bass stems from an old stereo mix.