Observed Signal · Mar 26, 2026 · Product Launch · Source: t3n · Impact: 4/5 · Sentiment: Positive
Google launches Lyria 3 Pro for 3-minute AI songs
Google has expanded its generative music capabilities by releasing Lyria 3 Pro, a paid upgrade in the Gemini app that can produce full three‑minute songs from text prompts, photos or videos. The baseline Lyria 3 in Gemini generates 30‑second tracks; the Pro tier supports longer compositions and accepts more detailed, music‑specific instructions (intros, verses, bridges) using domain terminology. Gemini composes music by combining multiple specialized models (for example, Nano Banana for images and Veo for video) and applies Google’s SynthID inaudible watermark to generated audio. Google says the system does not imitate specific artists, instead treating named performers as general inspiration. The Pro capability is initially available to paying Gemini‑app subscribers.
Technical release from a major platform (Google) expanding generative-AI creative capabilities, affecting audio asset production, provenance (watermarking), and potential downstream use in media/creative workflows.
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Key Takeaways & Evidence Grounding
- Google released Lyria 3 Pro as an enhanced version of its generative music model Lyria 3.
- Lyria 3 (in Gemini) produces 30‑second tracks; Lyria 3 Pro can create three‑minute songs.
- Gemini app composes music using multiple models, including Nano Banana (photos), Veo (videos) and Lyria (songs).
- All tracks generated by Lyria use Google’s SynthID inaudible watermark; Gemini can check whether audio was produced by Google AI.
- Google states Lyria 3 Pro does not imitate named artists but uses them only as 'general inspiration.'
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Google launches Lyria 3 Pro music generation model
Google released Lyria 3 Pro, an upgraded music-generation model that creates tracks up to three minutes long (versus 30 seconds with Lyria 3) and offers improved creative control and structure awareness (intros, verses, choruses, bridges). Lyria 3 Pro is rolling out to paid subscribers in the Gemini app and will be added to Google Vids and ProducerAI (which Google acquired last month). Google is also making the model available across enterprise tooling — Vertex AI (public preview), the Gemini API, and AI Studio. Google says training used partner data and permissible YouTube/Google data, that the model does not mimic specific artists though it can take “broad inspiration” when an artist is specified, and that outputs from Lyria models are labeled with SynthID to denote AI generation. The release follows Lyria 3’s earlier integration into the Gemini app.
Google's Gemini App Unleashes AI Music Creation for All
Google has added music-generation capabilities to its Gemini app, powered by DeepMind’s Lyria 3 model, currently in beta. Users can prompt Gemini to create short tracks with lyrics and cover art, or upload photos/videos to generate mood-matching songs; controls include style, vocals and tempo. Google is also making Lyria 3 available to YouTube creators via the Dream Track feature and expanding Dream Track globally. All generated songs will carry a SynthID watermark and Gemini will gain the ability to detect AI-generated music. The rollout is available to global Gemini users aged 18+ and supports multiple languages.
Google Lyria 3 Pro Debuts in Gemini; Apple Playlists
Google expands Lyria 3 Pro, its most capable AI music model, by integrating it directly into Gemini and enabling up to three-minute AI songs with adjustable intros, refrains, and bridges. The rollout targets paid Gemini subscribers in the Gemini app and developers via the AI Studio API, following February’s Lyria 3 debut. The update adds music lyrics generation, tempo and style controls, and support for uploading images or videos to tailor soundtracks across languages. Separately, Apple is testing Playlist Playground in iOS 26.4 developer beta, a prompt-based feature that creates playlists with titles, covers, and descriptions from user ideas. The piece notes ongoing debates about licensing, visibility, and how human creativity fits in as AI-driven music expands. Google also introduces SynthID watermarking and Gemini-based tools to verify whether audio was AI-generated, increasing transparency.
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