Overall Score
37
Top 5%
of AI companies
by OmniSale🇨🇭
High-quality stem splitting and voice cloning based on the world's #1 technology
Discover Lalal AI and its AI capabilities
Overall Score
37
Top 5%
of AI companies
Overall Score
37
GitHub Stars
0
Monthly Visits
2.7M
Community Rating
3.5
Discover Lalal AI and its AI capabilities
Latest detected signals across traffic, developer activity and community mentions.
HN: "AI Stem Splitter – Lalal.ai"
Indexed by indexator.ai
Referral growth vs previous period
| Keyword | Volume / Mo | CPC |
|---|---|---|
| vocal remover | 446,930 | $0.28 |
| lalal ai | 33,860 | $0.83 |
| voice changer | 210,090 | $0.38 |
| ボーカルリムーバー | 9,230 | $0.75 |
| lalal.ai | 7,250 | $1.32 |
Starter
Free
Lite
€6.75
/ yearly
Pro
€13.5
/ yearly
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 ...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
HN: "AI Stem Splitter – Lalal.ai"
Indexed by indexator.ai
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
Referral growth vs previous period
| Keyword | Volume / Mo | CPC |
|---|---|---|
| vocal remover | 446,930 | $0.28 |
| lalal ai | 33,860 | $0.83 |
| voice changer | 210,090 | $0.38 |
| ボーカルリムーバー | 9,230 | $0.75 |
| lalal.ai | 7,250 | $1.32 |
Saves
31.6K
Rating
3.5
6 reviews
Views
10.1K
Category
Music editing
Pros · 22
Cons · 9
Rating distribution
User reviews · 5
Decent stem splitting, but no better than free options, and definitely not worth paying for. The sound quality is so poor you cannot really use the output for anything apart from making karaoke tracks for personal enjoyment. Don't even think of using Lalal if you're a professional producer who needs to split a mixed song due to lost stems etc.
Indeed. I've used it for a few things but if there's any kind of noise/disturbance then just forget it. The model has not improved since its inception either. Ultimately this problem will only be fixed by some other free model, and then this product will become obsolete.
Supported features
Release history · 2+
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.
Initial release of LALAL.AI.
Q&A · 22
Anastasiia from LALAL.AI 🛠️ 1 tool 🙏 1 karma wrote:LALAL.AI is a next-generation vocal remover and music source separation service that allows for fast, accurate and precise stem extraction. Starting as a 2-stem splitter, LALAL.AI has grown significantly during 2021. In addition to vocal and instrumental, the service was enhanced with the capability to extract musical instruments – drums, bass, acoustic guitar, electric guitar, piano, and synthesizer. As a result of this upgrade, LALAL.AI became the world’s first 8-stem splitter. In the same year, we also presented business solutions, enabling owners of sites, services and applications to integrate our stem-splitting technology into their environments via API.
Anastasiia from LALAL.AI 🛠️ 1 tool 🙏 1 karma wrote:Perseus AI uses advanced tech similar to OpenAI’s ChatGPT for vocal removal. Learn more about one of the first transformer models in audio processing. Since the initial release of Perseus, stem support has been expanded. The neural network can now separate not only Vocal & Instrumental and Voice & Noise stems, but also Drums, Bass, Acoustic Guitar, Electric Guitar, and Piano. At the core of Perseus lies a groundbreaking architecture that has never been used in our previous solutions. While the training procedures were similar to those used for the predecessor, Orion, we invested an average of 3.5 times more resources into developing Perseus. The results speak for themselves: Perseus outperforms Orion by a remarkable one decibel across various metrics, translating to about 15% improvement in vocal extraction quality. This leap is equivalent to the game-changing upgrade we achieved when transitioning from the Rocknet neural network to the Cassiopeia network.
LALAL.AI supports various input/output formats including MP3, OGG, WAV, FLAC, AVI, MP4, MKV, AIFF, and AAC.
Anastasiia from LALAL.AI 🛠️ 1 tool 🙏 1 karma wrote:Yes, there are costs associated with using LALAL.AI. However, users can try the service for free by signing up and uploading a file to receive stem previews. To split the entire file and download full stems, users can opt for one of the paid packages or a subscription.
Anastasiia from LALAL.AI 🛠️ 1 tool 🙏 1 karma wrote:LALAL.AI offers top-notch vocal separation quality. The service uses the proprietary Perseus and Andromeda algorithms, which enable it to yield clearer results with fewer artifacts, even labeling it as the best vocal separation quality on the market.
Alternatives — peer set
Elevate your sound with AI-powered mix analysis.
AI-driven insights to perfect your music mixes.
Automatic audio post-production, simplified.
Remove vocals from songs with AI-powered precision.
Remove vocals from any song instantly
Remove or isolate vocals from any song instantly
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1 points · 0 comments · by
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Top 10 in Productivity.
<iframe src="https://indexator.ai/api/embed/leaderboard?category=Productivity" width="300" height="400" frameborder="0" style="border:none;border-radius:8px"></iframe>Thank you for taking the time to share your feedback! We're sorry to hear that your experience didn’t meet your expectations. Our team continuously works to improve the quality and accuracy of our stem separation models, and many professionals in music, film, and media do find value in the output for creative and restoration purposes. That said, we understand that results can vary depending on the complexity and quality of the original track. If you're open to it, we’d be happy to review a specific example and offer recommendations on how to achieve the best possible result using our tools. For example, by selecting the most appropriate stem network, such as Perseus or the latest Andromeda.
Thank you. I wrote my review in April 2024, so the quality may or may not have improved. However, since I downloaded RipX I no longer have any use for other tools, as it lets me stem split to my heart's delight and do manual cleanup of music on a single note level.
ATM i am agree with you.