Music AI

Music AI is a pioneering B2B platform that provides a powerful ecosystem of AI-driven audio and music technology solutions. Designed for businesses, developers, record labels, and content creators, it offers programmatic access to its advanced tools via a robust API and an intuitive no-code dashboard. Music AI is the core technology that powers the globally acclaimed Moises app, serving over 60 million users and processing millions of minutes of audio daily.

The platform is built on an ethical foundation, training its models exclusively on licensed content and ensuring its tools act as creative collaborators rather than replacements for human artists. It provides a modular system, allowing users to build custom processing pipelines to fit their specific needs, from simple audio enhancements to complex multi-step production workflows.

How to use Music AI

Music AI offers a flexible and developer-friendly approach to integrating its technology. The primary method is through its API, but a no-code dashboard is also available for easier access.

1. Authentication: First, you need to sign up and generate an API key from your dashboard to authenticate your requests securely.
2. Choose Modules & Build Workflows: The platform is based on 'Modules,' which are individual processing units (e.g., stem separation, transcription). You can chain these modules together to create a 'Workflow,' which is a predetermined sequence of operations. You can use pre-built templates or create custom workflows.
3. Upload Files: Provide your audio or video files for processing. If they are not publicly accessible via a URL, you can use the platform's file upload server to get a temporary signed URL.
4. Create a Job: A 'Job' is a request to process your file(s) using a specific workflow. Once the job is submitted, Music AI processes the files and returns the output.
5. Retrieve Results: After the job is complete, you can download the processed files, which could be separated audio stems, a mastered track, transcription data, and more.

Core Features of Music AI

• Advanced Stem Separation: Isolate vocals, bass, drums, guitars, piano, and other instruments from any track. It also offers cinematic stem separation to split dialogue, music, and effects from video files.
• AI Mastering & Mixing: Automatically master audio tracks to professional standards using AI. Features include reference mastering, spatial upmixing, and an AI-powered automix module.
• Transcription & Metadata: Transcribe lyrics and speech with high accuracy, including features like diarization and word/syllable alignment. It can also detect BPM, chords, song sections, and generate rich music metadata.
• Audio Classification: Identify instruments, detect the presence of music or AI-generated voices, perform language identification, and provide content ID services.
• Voice & Style Transfer: Includes innovative features like voice transfer, allowing for creative vocal transformations.
• Enhancement & Effects: A wide range of tools to improve audio quality, such as speech noise suppression, vocal upsampling, and various effects like reverb, pitch shifting, and limiters.
• Generators: Create audio from scratch with tools like a Text-to-Speech (TTS) engine and a metronome generator.

Use Cases for Music AI

Music AI's versatile platform caters to a wide range of industries and applications:

• Music Production & Remixing: Producers can isolate stems to create remixes, samples, or backing tracks. The AI mastering tool helps achieve a polished, release-ready sound quickly.
• Video & Film Post-Production: Editors can use cinematic stem separation to clean up dialogue, balance sound effects, or replace music in a scene. Transcription services are ideal for creating subtitles and captions.
• Digital Platforms & Streaming Services: Services can use audio tagging and metadata generation to improve content discovery, search, and recommendation algorithms. Content ID helps manage copyrights.
• Application Development: Developers can integrate Music AI's features into their own apps, such as building karaoke apps (vocal removal), music education tools (chord detection), or accessibility software (speech enhancement).
• Content Creators: Podcasters and YouTubers can use speech noise suppression to improve audio clarity and transcription tools to create show notes or articles from their content.

Advantages of Music AI

Music AI stands out with its robust, scalable, and ethically-driven approach. Its key advantages include a comprehensive ecosystem (API, SDK, no-code platform), a highly flexible modular architecture for custom workflows, and the proven reliability of powering a massive consumer application like Moises. The company's commitment to ethical AI, using only licensed data, builds trust with partners and creators in the music industry.

Pricing and Plans

Music AI offers a flexible, usage-based pricing model designed to scale with your needs.

• Pay as you go: A free-to-start plan where you only pay for what you use. Processing is charged on a per-minute or per-character basis depending on the module. For example, AI Mastering is priced at $0.20/min, and standard stem separation (e.g., Vocals) is $0.07/min. This plan includes 48h temporary storage.
• Professional: Priced at $25/month, this plan is for more frequent users. It includes $25 in monthly processing credits, a 5% discount on all module prices, 100GB of permanent storage, and a higher number of concurrent processing jobs.
• Business / Enterprise: A custom plan for high-volume usage. It offers volume-based discounts, business-level SLAs, dedicated integration support, and optional features like private AI model creation and enhanced security.