Stem separation
Separate vocals from instrumentals, or isolate stems such as drums, bass, guitar, piano, synthesizer, strings, and wind instruments from songs or videos.
LALAL.AI
Freemium
Séparation audio par IA pour voix, instruments et enregistrements
Qu'est-ce que LALAL.AI ?
LALAL.AI is an AI audio separation platform for removing vocals, isolating instruments, cleaning spoken audio, and generating voice transformations. It started as a vocal remover and now includes stem splitting, voice cleanup, voice changing, voice cloning, echo and reverb reduction, and enterprise API access.
The service is designed for both casual and professional use. Users can upload audio or video files, preview the extracted stem, and download results in supported output formats. The pricing page shows a Starter plan, paid Lite and Pro plans, unlimited Relaxed Queue minutes on paid tiers, and Fast Queue minutes that vary by plan.
Que peut faire LALAL.AI ?
Voice cleanup
Reduce background noise, echo, and reverb in voice recordings to make speech or vocals clearer before download.
Lead and backing vocal splitting
Generate lead vocal, backing vocal, instrumental, and instrumental-plus-backing outputs when lead/back separation is enabled.
Voice tools
Change voice tonality and accent for podcasts, videos, and creative voice work, and clone voices for ad reads and voiceovers.
Preview and export control
Preview separation results before full processing, then choose the output format you need from supported audio exports.
Cross-platform and enterprise access
Process work through the web app, desktop and mobile apps, or enterprise API, with a Pro plan option for the VST plugin and local processing in the desktop app.
Cas d'utilisation
“Karaoke and instrumental creation”
Remove vocals to create karaoke versions or extract instrumentals from songs and music videos.
“Remixing and stem editing”
Split tracks into drums, bass, guitar, piano, and other stems for remixing, sampling, and arrangement work.
“Speech and narration cleanup”
Clean voice recordings by reducing background noise, echo, and reverb in podcasts, interviews, or video narration.
“Creative voice production”
Change voice tone or clone a voice for ad reads, voiceovers, video content, and other production tasks.
“Bulk and integrated processing”
Use the API or Pro-plan tools for higher-volume or integrated workflows in product pipelines and enterprise environments.
Questions fréquentes
What does LALAL.AI do?
LALAL.AI is an online audio separation service that analyzes an uploaded file and splits it into selected stems. Depending on the tool you use, that can mean vocals and instrumentals, individual instruments, voice and noise, or lead and backing vocals.
How does the workflow work?
Upload an audio or video file, choose the stem or cleanup mode you want, preview the separated result, and then run full processing to download the output. The site says you can keep the original format or export supported audio formats such as MP3, WAV, FLAC, OGG, AAC, or AIFF.
What file types are supported?
Yes. The site says it supports multiple audio and video formats, including MP3, OGG, WAV, FLAC, AIFF, AAC, M4A, AVI, MP4, MKV, MOV, and M4V, with stem-splitter pages also listing WMA.
What should I know about plans and limits?
The site says paid plans include unlimited minutes in the Relaxed Queue, fixed Fast Queue minutes each month, and separate support for the VST plugin, desktop app local processing, and API access on the Pro plan. It also offers one-time Fast Queue top-ups.
Can I use one subscription on multiple devices?
Yes. LALAL.AI says subscriptions work across the web version, desktop app, iOS app, and Android app, with the minute balance shared across those platforms.
Informations rapides
- Category
- AI audio separation and voice tools
- Platform
- Web, desktop app, iOS, Android
- Primary users
- Musicians, content creators, and enterprise teams
- Source domain
- lalal.ai
- Pricing shape
- Starter plan plus paid Lite and Pro subscriptions
Analyse du trafic de LALAL.AI
Les données de trafic sont fournies à titre indicatif uniquement.
- Évaluation du domaine
- 73
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