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Google Adds Arabic AI Music Creation For Ramadan
Lyria 3 brings 30-second Arabic tracks and AI greeting cards to Gemini as Google targets seasonal digital engagement.
Google has released Lyria 3, its latest generative music model from DeepMind, in Arabic beta worldwide through Gemini, with mobile access rolling out over the next few days.
The update lets users create 30-second tracks by typing a simple prompt. A request such as “an upbeat, modern Arabic fusion track for Ramadan” produces a short composition within seconds, with optional lyrics or as an instrumental.
The Ramadan timing is deliberate, as Google is positioning Gemini as a tool for personalized audio greetings and quick-share content in Arabic. Alongside music, users can generate customized Ramadan greeting cards using NanoBanana, Gemini’s image generation and editing model, via a dedicated microsite available in English and Arabic.
Lyria 3 works in three ways. Users can generate tracks from text prompts describing a mood or theme. They can upload photos or videos and have Gemini compose lyrics and music to match the visuals. Each track comes with auto-generated cover art from NanoBanana and can be downloaded or shared by link.
Google is clear about the intent. “The goal of these tracks isn’t to create a musical masterpiece, but rather to give you a unique way to express yourself,” the company said.
All audio generated in the Gemini app is embedded with SynthID, Google’s watermarking technology for identifying AI-created content. Users can also upload a file and ask Gemini whether it was generated using Google AI, with the system checking for SynthID and applying its own detection methods.
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The model is designed for original output, not imitation. If a prompt names a specific artist, Gemini treats it as general stylistic inspiration and applies filters to avoid reproducing existing material.
For Google, the Arabic rollout signals a continued push to localize generative AI for regional audiences. As MENA markets accelerate digital adoption under programs such as Vision 2030, culturally tuned AI features are becoming a practical entry point for mass use.