Lalal AI
Overview
Lalal AI uses machine learning to split audio into separate stems and remove unwanted parts with minimal artifacts. It accepts common audio formats and handles mono and stereo files. Creators, editors, and marketers can extract vocals, instrumentals, or individual stems for remixing, editing, or cleanup. Processing is designed to be fast and to preserve the original sound character.
Use cases
- Create instrumental tracks and practice versions for musicians.
- Isolate dialogue or vocals for video editing and post-production.
- Prepare clean audio assets for marketing content and podcasts.
- Export vocal and instrument stems for further audio processing workflows.
How it helps
- Reduces editing time by providing ready-to-use stems.
- Improves output quality with cleaner vocal and instrument separation.
- Streamlines workflows across music production and video projects.
Key features
- Faster stem extraction to cut editing time.
- High-fidelity separation for cleaner mixes.
- Support for common formats and batch workflows.
- Produce ready-to-use vocal stems for Voice Generators and post-production.
- Noise reduction and bleed removal to improve clarity.
Pricing
Freemium access with basic free processing and paid options for larger workloads. Check the official site for current details.
Why to choose Lalal AI?
Lalal AI provides AI-driven stem separation that preserves audio clarity while isolating vocals and instruments.
