Isolate vocals and stems with studio-grade AI separation
LALAL.AI is a web-based AI stem splitter that isolates vocals, bass, drums and other stems using its Phoenix neural network; ideal for producers, DJs, and content creators who need high-quality stem extraction without manual EQ and phase editing, and offers pay-as-you-go credit bundles plus a limited free trial for quick tests.
LALAL.AI is an AI music generator-category tool focused on stem separation and vocal isolation rather than composition-its core feature is extracting stems (vocals, drums, bass, etc.) from mixed audio. The service uses proprietary neural networks (notably the Phoenix model) to deliver cleaner separations than basic spectral tools, making it useful for remixing, karaoke, sampling, and audio cleanup. It serves musicians, DJs, podcasters, and video editors who need reliable stem exports in WAV/MP3 formats. Pricing is accessible via a limited free trial and pay-as-you-go credit packs, keeping it affordable for occasional and professional users alike.
LALAL.AI launched as an audio stem separation service positioned between simple online vocal removers and full DAW-based manual separation workflows. Founded in 2020, the company focused on using neural networks to extract individual stems from mixed audio with fewer artifacts than early-formant filters. Its core value proposition is to give non-technical users studio-grade stem outputs (vocals, drums, bass, piano, and more) quickly via a browser UI and REST API, saving hours compared with manual spectral editing.
LALAL.AI emphasizes reproducible separations, downloadable WAVs/MP3s, and lightweight integration options for creators and businesses. The product ships multiple separation modes and models - Phoenix is positioned as the flagship neural network offering higher-fidelity separations, while older models remain for quicker or lower-resource jobs. Key features include multi-track extraction (2-, 4-, or multi-stem splits) that exports stems as WAV 16/24-bit or MP3, an online waveform preview with start/end trimming, and batch processing via the web interface.
There's also a REST API and SDK options for automated workflows and integrations. The tool supports file uploads up to a specified length/size, shows processing time estimates, and preserves original sample rates where possible. LALAL.AI also provides an in-browser player to audition separations before download and allows users to choose output bitrate and format for each stem.
Pricing is credit-based with a limited free tier for small test files and pay-as-you-go credit packs for one-off users. The free tier permits a short preview extraction (small file length or trial credits) so you can test outputs; full downloads require credits. Paid options include small credit bundles for casual users and larger bundles/subscriptions for professionals; exact pack prices vary and are displayed on the site at purchase time.
There's also an API pricing model for higher-volume or enterprise usage that switches to custom quotes for sustained large batch processing. Refund and usage policies are described on LALAL.AI's pricing and FAQ pages, and credits do not expire immediately, making it practical for intermittent use. Typical users include music producers extracting acapellas for remix stems and DJs creating instrumentals for live sets.
A music producer uses LALAL.AI to derive clean vocal stems for remix projects, cutting mix prep time by hours. A YouTube editor separates music stems to remix background tracks and meet licensing or creative needs. Podcasters and sound designers also use it to isolate speech or remove music beds.
Compared with a competitor like iZotope RX, LALAL.AI trades advanced spectral-editing controls for a faster, model-driven workflow and simpler pricing, making it preferable for quick, repeatable stem extraction rather than deep forensic restoration.
Three capabilities that set LALAL.AI apart from its nearest competitors.
Which tier and workflow actually fits depends on how you work. Here's the specific recommendation by role.
LALAL.AI is useful when one person needs faster output without adding a complex workflow.
LALAL.AI should be tested for collaboration, quality control, permissions and repeatable results.
LALAL.AI is worth buying only if the pilot shows measurable time savings or quality gains.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free Trial | Free | Limited trial credits for short file previews and test extractions | Test output quality before buying credits |
| Starter Pack | $1.99 | Small credit bundle for a few full-length track extractions | Casual users and single-project creators |
| Pro Bundle | $19.99 | Larger credit pack for dozens of full-track separations | Freelance producers and podcasters |
| API / Enterprise | Custom | High-volume processing, SSO, SLA, custom integration quotas | Studios and companies needing automated workflows |
Scenario: A small team uses LALAL.AI on one repeated workflow for a month.
LALAL.AI: Free | Freemium | Paid | Enterprise ·
Manual equivalent: Manual review and execution time varies by team ·
You save: Potential savings depend on adoption and review time
Caveat: ROI depends on adoption, usage limits, plan cost, output quality and whether the workflow repeats often.
The numbers that matter — context limits, quotas, and what the tool actually supports.
What you actually get — a representative prompt and response.
Choose LALAL.AI over Moises.ai if you prioritize model-driven Phoenix separations and pay-as-you-go credits for occasional high-quality stems.
Real pain points users report — and how to work around each.