Multi-stem audio separation
Separate songs into vocals, instrumentals, drums, bass, and other available instrument targets. The selected model and workflow determine which stems are produced.
AudioShake
Freemium
AI audio separation for creating editable stems, cleaner speech, and interactive sound.
What is AudioShake?
AudioShake is an AI audio separation platform that turns mixed recordings into editable components, including dialogue, music, effects, vocals, instruments, and individual speaker tracks. Web tools and APIs support file-based processing; its SDK provides supported real-time separation models for on-device integration.
Teams can recover stems when original multitrack sessions are missing, prepare dialogue for downstream captioning or dubbing, remove background music, or combine stem control with timed lyrics. Separation works from existing recordings: review the resulting audio before delivery, especially in noisy or overlapping mixes. Choose the delivery method and model for your workload rather than assuming all capabilities run locally or are included in every account.
What can AudioShake do?
Dialogue, music, and effects isolation
Splits mixed film, television, broadcast, and other recordings into dialogue, music, and effects so each component can be edited or reused independently.
Multi-speaker separation
Isolates individual voices, including overlapping speakers, for dubbing, accessibility, metadata generation, and voice-focused workflows.
Music removal
Remove music from mixed audio or video while retaining dialogue, ambience, and effects as the intended output. Web, API, and supported SDK integrations are available; listen for residual music or separation artifacts before publishing.
Lyric transcription and alignment
Creates automated lyric transcripts with word-by-word timing, supporting lyric videos and browser- or device-based karaoke workflows.
Real-time SDK processing
Integrate supported streaming separation models for dialogue, vocals, instruments, or music removal. The SDK runs on-device on iOS, macOS, Android, Windows, and Linux; model availability and performance depend on the integration.
Use Cases
“Localization and captioning”
Prepare separated dialogue for downstream transcription, captioning, translation, or dubbing tools, while retaining music and effects for the localized version. AudioShake’s own transcription workflow focuses on lyrics.
“Broadcast and live content”
Use supported streaming models to isolate commentary or remove background music in live sports, news, or event pipelines. Evaluate the audio quality and latency on the intended hardware before distribution.
“Music production and immersive mixing”
Recover stems from recordings that were not delivered as multitracks, then create instrumentals, remixes, masters, or immersive mixes for music catalogs.
“Copyright-aware publishing”
Remove background music from archival, catalog, field-recorded, or user-generated content without muting the entire scene. Review the remaining audio and permissions for the planned use; music removal alone does not settle rights or guarantee that a platform will accept the upload.
“Interactive music and lyric experiences”
Give apps, games, fitness products, learning tools, and karaoke services access to stem-level control, synchronized lyrics, or audio that adapts to user activity.
Frequently Asked Questions
What types of audio can AudioShake separate?
Depending on the model and workflow, AudioShake can separate dialogue, music, effects, individual speakers, vocals, instrumentals, drums, bass, other instruments, and additional instrument targets.
How can developers integrate AudioShake?
Use web tools for individual files, APIs for a processing pipeline, and the SDK for supported local or real-time workflows. The SDK supports iOS, macOS, Android, Windows, and Linux. Evaluate model availability, output quality, and workload requirements before choosing an integration.
Can AudioShake remove music without removing speech?
Its Music Removal model is designed to remove music while keeping dialogue, ambience, and effects. Inspect and listen to the output: separation is not a guarantee of perfect preservation or automatic clearance to publish the remaining recording.
Does AudioShake process audio locally?
Supported SDK models run locally on-device. Web and API workflows have a different processing arrangement, so do not extend the SDK’s local-inference claim to every upload, API call, or connected application.
Can organizations create models for their own catalogs?
Yes. AudioShake describes custom model development and asset creation services that use an organization's audio data to build specialized separation models and structured datasets.
Quick Facts
- Category
- AI audio separation and stem creation
- Primary users
- Media, broadcast, music, localization, and software teams
- Delivery options
- Web platform, API, SDK, and custom model services
- SDK platforms
- iOS, macOS, Android, Windows, and Linux
- Processing modes
- File-based, batch, streaming, and on-device inference
- Core outputs
- Audio stems and isolated tracks; lyric text and word timing
AudioShake Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 60
AudioShake Alternatives
Speechmatics
www.speechmatics.com
Speechmatics provides speech-to-text APIs for pre-recorded and real-time audio, with support for multilingual speech, multiple speakers, and voice-agent workflows. It is designed for teams building transcription and Voice AI applications.
Voicemaker
voicemaker.in
Voicemaker is a browser-based text-to-speech platform for creating and fine-tuning AI voice output in multiple languages and formats.
Lemonfox.ai
lemonfox.ai
Speech-to-text and text-to-speech APIs for developers building audio workflows.