--- title: "Google Expands Lyria 3 Pro Music Generation Across Products and APIs" slug: google-lyria-3-pro-music-expansion category: business story_number: "04" date: 2026-03-25 edition: 2026-05-24 sources: - name: Google Blog (The Keyword) url: https://blog.google/innovation-and-ai/technology/ai/lyria-3-pro/ domain: blog.google - name: TechCrunch url: https://techcrunch.com/2026/03/25/google-launches-lyria-3-pro-music-generation-model/ domain: techcrunch.com - name: 9to5Google url: https://9to5google.com/2026/02/18/gemini-app-music-lyria-3/ domain: 9to5google.com - name: Google Blog — ProducerAI Announcement url: https://blog.google/innovation-and-ai/models-and-research/google-labs/producerai/ domain: blog.google ---

# Google Expands Lyria 3 Pro Music Generation Across Products and APIs

Just one month after debuting Lyria 3 in the Gemini app, Google has moved swiftly to upgrade the model and embed it across nearly every layer of its product stack. On March 25, the company announced Lyria 3 Pro — capable of generating tracks up to three minutes long with full structural awareness — while simultaneously rolling it out to Vertex AI, the Gemini API, Google AI Studio, Google Vids, the Gemini app, and ProducerAI. The speed and breadth of the expansion signals that Google is treating AI-powered music generation not as an experiment, but as a platform-level capability it intends to own.

The jump from 30-second clips to three-minute compositions is more than a technical footnote. It closes the gap between a novelty demo and something creators can actually publish. Lyria 3 Pro now understands track structure — intros, verses, choruses, bridges — so users can direct the arc of a song in natural language rather than hoping an algorithm stumbles onto a coherent arrangement. That shift from output to composition is what separates a music toy from a music tool.

"We are bringing Lyria 3 to the tools where professionals work and create every day," Google wrote in its official announcement, authored by Myriam Hamed Torres, Senior Product Manager at Google DeepMind. The statement is as much a competitive declaration as a product update. With Suno, Udio, and Meta's AudioCraft all staking claims in the AI music space, Google is leveraging its distribution advantage — billions of users across Workspace, the Gemini app, and developer tooling — to make Lyria the default choice by proximity rather than forcing a download.

A Platform Push, Not a Single Product Launch

The rollout architecture is deliberate. Vertex AI gets Lyria 3 Pro in public preview, aimed at enterprises that need on-demand audio at scale — think game studios generating bespoke soundtracks, or video platforms embedding custom music into user-generated content workflows. The Gemini API and Google AI Studio give developers direct access, enabling the next generation of creative applications to be built on top of Google's music generation stack rather than a competitor's.

Google Workspace customers and Google AI Pro and Ultra subscribers gain access to Lyria 3 Pro inside Google Vids, the company's AI-powered video creation app. For marketers and small businesses already living inside Google's productivity suite, custom background music for a presentation or marketing video is now a prompt away — no licensing fees, no royalty negotiations, no stock music libraries. That convenience factor should not be underestimated as an adoption driver.

The Gemini app integration gates the Pro tier behind paid subscriptions, a pricing signal that longer, higher-quality tracks are positioned as a premium differentiator. Free users retain access to Lyria 3's 30-second generations, which launched in February for all users 18 and older across eight languages: English, German, Spanish, French, Hindi, Japanese, Korean, and Portuguese.

ProducerAI: The Acquisition That Now Makes Sense

Perhaps the most strategically interesting integration is ProducerAI, the generative music platform Google acquired and folded into Google Labs in late February 2026. Where the Gemini app integration serves casual creators, ProducerAI targets working artists, producers, and songwriters who want compositional depth — not just a track, but an iterative studio session. With Lyria 3 Pro powering the backend, ProducerAI now offers what Google describes as an "agentic experience" for end-to-end song development.

"ProducerAI was built with, and for, a passionate community of artists," wrote Elias Roman, Senior Director of Product Management at Google Labs, in the acquisition announcement. Notable collaborators include Grammy-winning rapper Lecrae and electronic duo The Chainsmokers. Grammy-winning producer Yung Spielburg used Lyria in the score for a Google DeepMind short film, and DJ and producer François K has an as-yet-unreleased track built with the model. These artist partnerships are doing double duty: they generate credibility in professional circles while feeding real-world compositional data back into training pipelines.

The ProducerAI platform is available globally on free and paid plans, making it the only Lyria 3 Pro surface that does not require an existing Google subscription tier — a notable open door for independent musicians who might not be paying for Gemini Advanced or a Workspace seat.

Responsibility Architecture and the Copyright Question

Google is navigating the AI music space with particular care around intellectual property — not surprising given that its YouTube subsidiary sits at the center of the recorded music industry's most fraught relationships with AI platforms. Lyria 3 was trained on materials YouTube and Google have the right to use under their terms of service, partner agreements, and applicable law, the company says. The model is designed not to mimic specific artists; prompts that name a creator are treated as stylistic inspiration rather than reproduction instructions, with content filters checking outputs against existing recordings.

All Lyria 3 and Lyria 3 Pro generations are embedded with SynthID, Google DeepMind's imperceptible watermark for AI-generated content. The watermark survives compression, format conversion, and typical editing workflows — a technical hedge against the kind of misattribution problem Spotify is currently tackling with its own AI content labeling tools, announced just a day before Google's Lyria 3 Pro launch.

The context matters. Deezer in January 2026 released tools allowing rival streaming platforms to flag AI-generated music, and industry pressure for disclosure standards is growing. Google's SynthID approach positions the company ahead of mandatory regulation rather than scrambling to comply after the fact — a posture its competitors in the AI music space have not uniformly adopted.

What This Means for the Market

Google's multi-surface rollout creates a structural problem for standalone AI music startups. Lyria 3 Pro does not need users to come to it; it goes to where users already are — inside a Workspace doc, a Vids project, a Gemini conversation, a developer API call. Competing on quality alone is hard when the incumbent is embedded in the workflow.

The more interesting competitive pressure may run in the other direction: toward music licensing platforms, stock audio libraries, and production music houses. A Google Workspace user who previously paid for a Musicbed or Artlist subscription now has a capable alternative baked into their existing productivity stack. The creative ceiling of a three-minute, structurally coherent, prompt-driven track with SynthID watermarking may not satisfy a professional film composer — but it will satisfy a very large number of marketing teams, content creators, and small business owners who were never going to hire one anyway.

How quickly the industry internalizes that shift is the real story still unfolding.

"We are bringing Lyria 3 to the tools where professionals work and create every day."
— Myriam Hamed Torres, Senior Product Manager, Google DeepMind
3 min
Max track length
6
Product integrations
8
Languages supported