Professional audio source separation for music and post
AudioSourceRE is a cloud-based audio source separation and restoration service that isolates vocals, instruments, and ambience for mixing, remastering, and audio-for-video workflows. It suits audio engineers, podcasters, and content creators who need high-quality stems without complex local tools. Pricing is tiered with a limited free option and paid plans for higher-resolution exports and batch processing, making it practical for freelancers and small studios.
AudioSourceRE is a web-first AI music & audio tool that separates and restores audio into individual stems (vocals, drums, bass, etc.) for remixing, post-production, and restoration. Its primary capability is multi-stem source separation with upsampled, studio-grade exports; the key differentiator is its emphasis on high-resolution exports and batch processing for pro workflows. The service targets mixing engineers, post-production editors, podcasters, and creators who need quick, clean stems without running local models. Pricing is accessible with a free/freemium option and pay-as-you-go or subscription tiers for heavier users.
AudioSourceRE is a specialist AI music & audio service focused on source separation and audio restoration. Launched as a web application, it positions itself between open-source model toolkits and full DAW-integrated commercial suites by offering server-side, optimized separation that produces ready-to-use stems. The core value proposition is straightforward: let users upload mixes and receive isolated stems and cleaned audio suitable for mixing, sampling, or repair without managing local ML dependencies.
The team emphasizes high-fidelity output and workflow-friendly export formats to fit into professional audio toolchains. Feature-wise, AudioSourceRE provides multi-stem separation that can split into 2, 4, or 5+ stems depending on the selected model, with options to extract vocals, drums, bass, keys, and ambience. The platform exposes model choices - typically a waveform-based separation engine and a spectrogram-based engine - letting users trade off separation character.
It also offers batch processing for multiple tracks, time-synced stem export (WAV/AIFF), and an API for automation and integration. For restoration, AudioSourceRE includes spectral repair tools for click/pop removal, broadband noise reduction, and a simple EQ/phase alignment module to reduce artifacts between separated stems. Pricing follows a freemium-to-pro model.
There is a free tier with limited throughput (small demo exports and low-resolution stems) suitable for trialing the separator. Paid tiers include a pay-as-you-go credits option for single tracks and a monthly Pro subscription that unlocks higher-resolution exports (up to 24-bit/48-96kHz depending on plan), faster queue priority, and larger batch sizes. Enterprise or team plans are offered as custom pricing that add API volume, SSO, and higher concurrent processing limits.
Note: specific price points and exact export resolutions should be verified on the site because they can change frequently. Actual users include audio professionals and creators. A mixing engineer uses AudioSourceRE to extract clean vocal stems for remixing and vocal comping without requiring the original session files.
A post-production editor uses it to isolate dialogue from noisy field recordings for faster cleanup. Other users include podcasters removing background music, and sample-based producers extracting acapellas. Compared with a tool like iZotope RX, AudioSourceRE leans more toward stem separation and batch cloud processing rather than deep single-file restoration workflows.
Three capabilities that set AudioSourceRE apart from its nearest competitors.
Which tier and workflow actually fits depends on how you work. Here's the specific recommendation by role.
AudioSourceRE is useful when one person needs faster output without adding a complex workflow.
AudioSourceRE should be tested for collaboration, quality control, permissions and repeatable results.
AudioSourceRE 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 | Free | Low-res demo exports, limited daily uploads, watermark on some previews | First-time users and testing workflows |
| Pay-as-you-go | Credits-based (approx. $0.99/track) | Per-track credits, single-track priority, standard-resolution exports | Occasional users who need single stems |
| Pro | Approx. $19/month | Higher-res exports, batch up to 25 tracks/month, API access | Freelancers and small studios |
| Enterprise | Custom | Custom quotas, SSO, dedicated SLA, higher concurrency | Teams and large-volume customers |
Scenario: A small team uses AudioSourceRE on one repeated workflow for a month.
AudioSourceRE: 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 AudioSourceRE over LALAL.AI if you need batch cloud processing and an API for studio-scale workflows.
Real pain points users report — and how to work around each.