LALAL.AIv2.11.1
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High-quality stem splitting and voice cloning based on the world's #1 technology
Overview
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Overview
LALAL.AI — Powerful AI for Audio Stem Separation, Voice Cleaning, Cloning & Changing.LALAL.AI is an advanced AI-powered audio processing platform designed for musicians, content creators, and audio professionals. Using deep-learning neural networks, LALAL.AI makes it easy to separate vocals and instruments, clean up recordings, clone voices, and modify vocal characteristics — all with high fidelity and speed.
🎛️ Key Features and Tools:
🎤 Stem Splitter — Extract or remove vocals and instruments from any audio or video file. Supports separation of:
• Vocals
• Drums
• Bass
• Electric Guitar
• Acoustic Guitar
• Piano
• Synthesizer
• Strings
• Wind
🧹 Voice Cleaner — Automatically remove background noise, mic hiss, and ambient sounds while preserving vocal quality. Ideal for podcasts, interviews, calls, and voiceovers.
🧬 Voice Cloner — Create an AI-powered voice replica using a sample of your voice. Generate realistic, expressive voiceovers without additional recording — great for content creation, storytelling, and more.
🎭 Voice Changer — Transform your content with customizable voice and tone settings. Use it for gaming, videos, creative audio projects, or audiobooks.
🛠️ Additional Highlights:
📁 Supports multiple file formats: MP3, WAV, FLAC, OGG, MP4, AVI, MKV, etc.
⚙️ Batch upload and processing for efficiency
📷 Video support — extract and edit audio right from your video files
🌐 Simple and intuitive online interface + desktop apps for Windows and macOS and mobile apps
🎯 High-accuracy results powered by Perseus neural network technology
LALAL.AI is your all-in-one AI audio toolkit — perfect for remixing, audio cleanup, voice synthesis, and creative audio editing.
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Releases
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Dec 24, 2025
Anna
LALAL.AI Introduces Andromeda: The Next Generation of Audio Source Separation
After years of refining its audio source separation technology through multiple generations of neural networks, LALAL.AI introduces Andromeda — its most advanced and meticulously engineered model to date. Trained on expanded datasets, driven by deeper audio pattern analysis, and fine‑tuned for maximum separation accuracy, Andromeda sets a new benchmark for quality in vocal isolation and stem separation.
This model reflects the culmination of six generations of research in digital signal processing and machine learning. Each iteration built upon the insights of the previous one, distilling everything learned from millions of processed tracks and thousands of user feedback cycles worldwide. The result is a model that delivers both greater speed and precision, achieving up to 40% faster processing while significantly enhancing the clarity of extracted stems.
Andromeda, like the previous LALAL.AI neural network Perseus, operates using transformer technology, which helps it analyze and separate complex audio more accurately. The new network processes tracks faster than the predecessor and maintains strong separation quality, handling vocals, instruments, and background sounds with improved precision.
Andromeda works by carefully separating audio layers to reduce common issues in AI separation, such as vocal bleed into other instruments, unwanted reverb, and loss of clarity in high frequencies. Instead of just looking at the sound as one simple waveform, Andromeda studies it in different ways — by time, frequency, and tone.
In practice, this means it doesn’t just detect “the voice” or “the drums”; instead, it registers timbre composition, resonance depth, and instrument presence across the stereo field. This kind of separation used to require manual cleanup in a digital audio workstation. With Andromeda, many of those post‑processing steps are now unnecessary. Even quiet elements, like soft backing vocals, come out sharper and easier to mix.
The Andromeda network is now integrated into several LALAL.AI web services:
Stem Splitter (for Vocal and Instrumental + Voice and Noise stems)
Lead & Back Vocal Splitter
Echo & Reverb Remover
Voice Cleaner
Each of these tools benefits from Andromeda’s enhanced processing capabilities, allowing users to extract cleaner stems, reduce noise, and isolate vocals more effectively than before.
After years of refining its audio source separation technology through multiple generations of neural networks, LALAL.AI introduces Andromeda — its most advanced and meticulously engineered model to date. Trained on expanded datasets, driven by deeper audio pattern analysis, and fine‑tuned for maximum separation accuracy, Andromeda sets a new benchmark for quality in vocal isolation and stem separation.
This model reflects the culmination of six generations of research in digital signal processing and machine learning. Each iteration built upon the insights of the previous one, distilling everything learned from millions of processed tracks and thousands of user feedback cycles worldwide. The result is a model that delivers both greater speed and precision, achieving up to 40% faster processing while significantly enhancing the clarity of extracted stems.
Andromeda, like the previous LALAL.AI neural network Perseus, operates using transformer technology, which helps it analyze and separate complex audio more accurately. The new network processes tracks faster than the predecessor and maintains strong separation quality, handling vocals, instruments, and background sounds with improved precision.
Andromeda works by carefully separating audio layers to reduce common issues in AI separation, such as vocal bleed into other instruments, unwanted reverb, and loss of clarity in high frequencies. Instead of just looking at the sound as one simple waveform, Andromeda studies it in different ways — by time, frequency, and tone.
In practice, this means it doesn’t just detect “the voice” or “the drums”; instead, it registers timbre composition, resonance depth, and instrument presence across the stereo field. This kind of separation used to require manual cleanup in a digital audio workstation. With Andromeda, many of those post‑processing steps are now unnecessary. Even quiet elements, like soft backing vocals, come out sharper and easier to mix.
The Andromeda network is now integrated into several LALAL.AI web services:
Stem Splitter (for Vocal and Instrumental + Voice and Noise stems)
Lead & Back Vocal Splitter
Echo & Reverb Remover
Voice Cleaner
Each of these tools benefits from Andromeda’s enhanced processing capabilities, allowing users to extract cleaner stems, reduce noise, and isolate vocals more effectively than before.
July 2, 2020
Anna
Initial release of LALAL.AI.
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Yonatan Fisher🙏 7 karmaNov 5, 2025@MixMaster ProAn amazing and simple tool
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I enjoyed the experience and it certainly cleaned up my audio files. I really wanted to find an AI driven auto-tuning app that would clean up my vocals. But haven't found one yet.
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"I was very disappointed to find out that although this AI claims to be free, it requires payment when downloading files. This was not clear upfront and felt misleading. Please provide clearer information about any charges before users get too far in the process."
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AudioStrip did exactly what I wanted to do, to isolate and denoise an important video I had, there was a lady talking loudly close to the camera but we needed the background conversations to be heard and the noise taken out, this did the job, free and fast!
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