LALAL

We are a team of specialists in the fields of artificial intelligence, machine learning, mathematical optimization, and digital signal processing. Our goal is to make working with audio and video easier for musicians, sound producers, music engineers, video bloggers and streamers, transcribers, translators, journalists, and many other professionals and creatives. In 2020, we developed a unique neural network called Rocknet using 20TB of training data to extract instrumentals and voice tracks from songs. In 2021, we created Cassiopeia, a next-generation solution superior to Rocknet that allowed improved splitting results with significantly fewer audio artifacts. 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. Only available in English prior to 2021, LALAL.AI was translated into 7 other languages – Chinese, French, German, Italian, Japanese, Korean, and Spanish. Furthermore, we added new payment methods to make LALAL.AI easier to acquire and more accessible to people worldwide. In 2022, we created and released Phoenix, a state-of-the-art audio source separation technology. In terms of stem-splitting accuracy, it surpassed not only our previous neural networks but also all other solutions on the market. Although Phoenix exclusively handled vocal/instrumental isolation at first, its powerful technology allowed us to continually introduce new stems on a regular basis. Throughout the year we trained Phoenix to extract all musical instruments that Cassiopeia supported. We also added two brand new stems, wind and string instruments, which no other service offered. With that update, LALAL.AI broke the record again and became the world's first 10-stem splitter. LALAL.AI's innovative technologies are used not only for stem splitting. In July of 2022, we introduced Voice Cleaner, a noise cancellation solution that removes background music, mic rumble, vocal plosives, and many other types of extraneous noises from video and audio recordings. At the end of 2022, we created a desktop version of LALAL.AI. The application enabled users to split audio and videos into stems in one convenient place on their Windows, macOS and Linux computers. In the two years since LALAL.AI was created, the project has grown tremendously, as has our workforce. Since the Rocknet neural network launch in 2020, the LALAL.AI team has doubled in size. We work hard to create unique high-quality solutions and we always have a lot of ideas and developments in store. Keep your eyes peeled for new possibilities and improvements!Products Tools & API Pricing Help About Blog En Log in Extract vocal, accompaniment and various instruments from any audio and video High-quality stem splitting based on the world's #1 AI-powered technology. New Phoenix algorithm More Evolutionary approach to signal processing times faster stem splitting The best vocal separation quality on the market Cleaner results with fewer artifacts Evolutionary approach to signal processing times faster stem splitting By uploading a file, you agree to our Terms of Service. Choose or drop up to 20 files here Vocal and Instrumental Select Files Use the previous algorithm Processing level: Mild Normal Aggressive What is LALAL.AI? A next-generation vocal remover and music source separation service for fast, easy and precise stem extraction. Remove vocal, instrumental, drums, bass, piano, electric guitar, acoustic guitar, and synthesizer tracks without quality loss. Check the quality for yourself Sample Loading... Download Sample Instrumental Loading... Download Instrumental Vocal Loading... Download Vocal Choose your package Standard Volume High Volume Start off for free to try the service. Upgrade to process more files and get results faster. Available only for individual use. Starter $0 Get Free Plus pack $25 $50 -50% one-time fee Buy Now Lite pack $15 one-time fee Buy Now Number of Minutes 10 Minutes 300 Minutes 90 Minutes Upload Size Limit per File 50MB 2GB 2GB Input/Output Formats Audio and Video: MP3, OGG, WAV, FLAC, AVI, MP4, MKV, AIFF, AAC Audio and Video: MP3, OGG, WAV, FLAC, AVI, MP4, MKV, AIFF, AAC Audio and Video: MP3, OGG, WAV, FLAC, AVI, MP4, MKV, AIFF, AAC Fast Processing Queue No Yes Yes Batch Upload No Yes Yes Stem Download No Yes Yes By making a purchase you agree to our Refund Policy and Privacy Policy FAQ Overview How do I sign up/sign in? How do I split a full track? Packs and Minutes What is the expiration date on paid packages? What does the “number of minutes in a pack' mean? How are the minutes deducted from my account? Where can I see the number of remaining minutes? How can I add more minutes to my account? What is the activation key and where can I find it? Tools and API Download the LALAL.AI applications for convenient use on your devices. Integrate our powerful AI technology into your site, widget, or service. Get It Try our remover of vocal, accompaniment and instruments now Select the stem separation type and get results in seconds. New Phoenix algorithm More Evolutionary approach to signal processing times faster stem splitting The best vocal separation quality on the market Cleaner results with fewer artifacts Evolutionary approach to signal processing times faster stem splitting By uploading a file, you agree to our Terms of Service. Choose or drop up to 20 files here Vocal and Instrumental Select Files Use the previous algorithm Processing level: Mild Normal Aggressive Follow us Explore Help Pricing For Business Tools & API Support Affiliate Program Company About Blog Media Kit Press En © 2023 OmniSale GMBH Terms of service Privacy policy Refund Policy We use cookies to ensure you get the best experience on our website. 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