Meet LALAL.AI API v1: Multistem, Voice Packs & More Now Available for SaaS & Media Platforms
At some point, every product that handles user-generated audio runs into the same reality: audio processing is not an option, it's a must-have feature that influences apps' retention and customers' satisfaction.
As your product scales, so do the challenges. Queues grow longer, maintenance gets heavier, and what used to be a simple integration becomes a permanent engineering responsibility.
That’s exactly the context in which we’re releasing LALAL.AI API v1, the recommended version of our API, designed for teams building products that process audio at scale.
If you’re working on a SaaS tool, a media platform, an internal creative pipeline, or any service that handles user-generated audio or video, API v1 is delivered to make integration cleaner, more stable, and easier to maintain over time.
What Makes API v1 Different?
As products mature, APIs need to be predictable, so versioning isn’t just a naming convention. API v1 represents a stable foundation that teams can confidently build on. It’s easier to maintain, document internally, and integrate into various pipelines.
API v1 comes with a clear OpenAPI specification and a Swagger-like interface that lets developers explore and test endpoints before committing to integration.
What this means:
- For product teams: Fewer unknowns and faster go-to-market
- For backend engineers: Predictable behavior and cleaner architecture
- For scaling companies: No need to rebuild your audio stack as you grow
If your platform handles uploads daily—be it podcasts, music, online courses, social media clips, or internal media archives—API v1 is built to sit quietly inside your pipeline and do the heavy lifting.
What LALAL.AI API v1 Can Bring to Your Products
At its core, LALAL.AI API v1 gives your SaaS access to the same separation and voice processing technologies available in our web app, but in a way that can be automated, embedded, and scaled.
1. Split Files Into Stems
You can split audio files into stems using our preset configurations. That means isolating vocals, drums, bass, instrumentals, or multiple components at once. For music platforms, remix tools, learning apps, or editing software, this turns static audio into flexible, controllable building blocks.
2. Remove Background Music & Noise from Voice Recordings
You can increase your clients' satisfaction by allowing them to isolate background music and noise from voice recordings, which is a crucial capability for podcast platforms, interview tools, video editors, educational products, and other creative SaaS. Instead of asking users to manually clean their recordings, automate clarity at the upload or post-production stage.
3. Multistem Separation in a Single Request
Need multiple stems at once? API v1 allows you to split a file into several stems in a single request. This reduces processing complexity and simplifies backend logic, which is especially useful for platforms handling large volumes of files.
4. Batch Stem Separation
Batch processing develops the idea that lies at the core of the multistem update. If your platform handles libraries of files rather than single uploads, you can run stem separation across multiple files at once—a functionality helpful for media companies, production houses, and archive digitization workflows where manual processing simply isn’t realistic.
5. Change Voices Using Voice Packs
Along with the multistem separation, this feature is a novelty for our API. It means that now you can integrate voice transformation into your product using LALAL.AI Voice Packs. Voice processing can become part of your platform’s creative layer, not just a post-production step. This update opens up new possibilities for creative tools, localization workflows, character voice prototyping, and content personalization features.
How to Get Started with API v1
API v1 is now ready for production use. Updated documentation and implementation examples can be found at www.lalal.ai/api.
Audio doesn’t have to be the bottleneck in your architecture anymore.
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