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2026-10-25

How to create a track with AI? Google launches Gemini + Lyria 3 and it changes everything

Looking for an AI that creates a track in seconds?
Google has just launched a groundbreaking feature in Gemini: music generation with Lyria 3, DeepMind's new audio model.

In 30 seconds, you can now create a complete song with lyrics, instrumental and cover art.

Here is how it works, and why this new feature could dominate the AI music generator market!

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🔎 AI that creates a track: how does it work?

The new Gemini + Lyria 3 feature lets you generate:
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🎵 A 30-second piece of music
✍️ Automatic (or custom) lyrics
🎤 An AI-generated voice
🎨 Album cover art
📥 A downloadable file

All from:

a simple text (prompt)
or an image / video
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It is currently one of the most complete AI music generators built into a mainstream assistant!

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🎶 How to create music with Gemini Lyria 3 AI (step by step)

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1️⃣ Open Gemini
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A new "Create music" button is available.
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2️⃣ Describe the track you want
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You can specify:

The genre (rap, pop, electro, rock, jazz…)
The tempo
The instruments
The type of voice
The theme of the lyrics

Optimised example:

"Create an upbeat pop song, fast tempo, clear female voice, theme: overcoming your fears."

In a few seconds, the AI creates a structured track with verses and a chorus.

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Also read

Discover our other articles to go further on ChatGPT and its new features:

👉 ChatGPT Go: price (€8) and differences vs ChatGPT Plus 👉 ChatGPT App Store: 100+ apps (Canva, Spotify, Adobe, Booking, etc...) 👉 Shopping Research: ChatGPT's new AI shopping assistant

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📸 Can you create a song from an image?
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Yes!

Gemini analyses:

the colours
the mood
the visual context

Then it generates matching music!

This is a real step forward from simple text → audio generators!

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Why is Lyria 3 different from other music AIs?

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Unlike older models:

Lyrics can be generated automatically
The musical structure is more realistic
Compositions are more complex
8 languages are supported (including French)

Google states that the AI does not copy existing artists!
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Every track is marked with SynthID, an AI watermark!

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Comparison: Gemini + Lyria 3 (AI music) vs other generators

Criterion	Gemini + Lyria 3	Other generators (e.g. Suno / Udio)
Type of generation	Text → music + Image/Video → music multimodal	Mainly Text → music audio-first
Track length	30 seconds (per generation)	Varies by tool / plan
Automatic lyrics	Yes (can generate lyrics from the prompt)	Often yes, depending on the tool and settings
Custom lyrics	Yes (accepted with tags such as [Verse] / [Chorus])	Yes (often possible)
Generated cover art	Yes (cover art auto-generated with Nano Banana)	Depends on the tool (often not built in)
Built into an assistant	Yes (in Gemini)	No (separate dedicated tools)
Download / sharing	Yes (downloadable + shareable link)	Yes (depending on the tool)
Languages at launch	8 languages including French, English, German, Spanish, Hindi, Japanese, Korean, Portuguese	Varies (often partial)
Availability	Desktop now + mobile rolling out	Web / apps depending on the platform
Safeguards / watermark	SynthID + anti-similarity filters + "original" use (no direct imitation)	Approaches vary by tool
Detection of "AI-generated audio"	Yes (can be checked by uploading an audio file to Gemini)	Rare (often absent or via third-party services)
For which profile?	Creators (Shorts/Reels), community managers, rapid prototyping, sonic branding, creative tests	Dedicated music creation, iterations, audio experimentation

Key takeaway: Gemini + Lyria 3 stands out for being multimodal (image/video → music), fast generation (30s), cover art, and safeguards (SynthID). Dedicated tools remain useful if you want to push audio iterations and "studio" workflows further.

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Can AI really create a good track?
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Yes… but it depends on the prompt.

The more precise your description:

mood
rhythm
emotion
instrumentation

The better the result.

Music is becoming "promptable"!

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Who can use this AI to create a song?
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Content creators
Community managers
Entrepreneurs
Artists
Beginners with no musical skills
Brands for sonic branding

It is an extremely powerful prototyping tool!

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Availability
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Available on desktop
Mobile rolling out
Higher limits for Google AI Plus, Pro and Ultra subscribers

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FAQ

Gemini + Lyria 3: creating music with AI (how it works, limits, rights)

Quick answers to common questions: AI that creates a track, lyrics, image → music, availability, safety (SynthID) and use for creators.

What is Lyria 3 in Gemini?

Lyria 3 is Google's (DeepMind) music generation model built into Gemini. It lets you generate a 30-second track from a prompt (text) or an image/video, with lyrics and cover art.

How do you create music with AI in Gemini?

In Gemini, click "Create music", then describe your track: genre, mood, tempo, instruments, type of voice and, optionally, the theme of the lyrics. Gemini then generates the music in a few seconds.

Can Gemini generate lyrics automatically?

Yes. Lyria 3 can generate lyrics automatically from the prompt, or you can paste your own lyrics (e.g. [Verse], [Chorus]).

Can you create a track from an image or a video?

Yes. In Image/video → music mode, Gemini analyses the visual content and composes a track that matches the mood (with lyrics if enabled).

Can the AI imitate a well-known artist?

Google says the tool is designed for original creation, not copying. Mentioning an artist should serve as stylistic inspiration, with filters to detect possible similarities.

Can the tracks be identified as AI-generated?

Yes. Generated content is marked with SynthID, a watermark developed by DeepMind to help identify AI creations.

Is Gemini music free? What are the limits?

The feature has been announced as available to everyone (beta), with usage limits. Subscribers (AI Plus/Pro/Ultra) generally have higher quotas.

When should you use this AI that creates a track?

Ideal for: Shorts / Reels / TikTok, quick demos, video intros/outros, branded content, music prototyping and creative tests before production.

FAQ

Answers to your questions about AI in business.
How to train your teams, identify the right use cases and roll out AI effectively.

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How can I train my teams in AI without it taking months?

It is the question we hear most often. The short answer: with the right method, a single day is enough for your teams to really start changing their habits. At AI Sisters, we have built a three-step approach, tested on more than 350 projects:

Step 1 - Understand, not just "discover"
We start with an AI Show: a live, immersive session with real-time demos on real cases. No generic slides. Your teams leave with a clear view of what AI can (and cannot) do for them.

Step 2 - Practise on real topics
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Step 3 - Embed new habits at D+30
One month later, we run an impact review: what has been adopted, what is still blocking, what needs adjusting. This follow-up is what makes the difference.

In short: training your teams in AI does not take months. With an approach built on immersion, role-based practice and impact follow-up,

Can AI training really be adapted to my sector (healthcare, finance, industry...)?

Yes, and that is exactly what separates useful training from training people forget.

Before each project, AI Sisters carries out a pre-audit: we analyse your typical documents (contracts, emails, reporting, product sheets), your tools (Office suite, Google, CRM, ERP) and your workflows.
We identify where AI can create value in your specific context. Then we choose, from our 40 business experts, the one who knows your sector best.
An HR team in an industrial group will not see the same examples as a B2C sales team. Prompts, exercises, use cases - everything is adapted.

‍In short: AI Sisters adapts each training programme to the reality of your sector, thanks to a pre-audit and 40 business experts. Healthcare, finance, industry, services: content is built on your real documents and your real constraints, not on generic examples.

Can AI training be funded by my OPCO?

Yes, in most cases.
AI Sisters training is Qualiopi-certified, which makes it eligible for OPCO funding (French training funds). The level of funding depends on your skills operator, the scheme used and your available budget, but in many cases a significant part of the cost can be covered.

In practice, we support you through the whole application: detailed quote, compliant programme, supporting documents, follow-up until reimbursement.

‍In short: thanks to Qualiopi certification, AI Sisters training is OPCO-fundable. The amount varies with your operator and your situation, but it can mean substantial savings.

Is AI training better on-site or remote?

Both work. What matters is the intention behind the format.
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On-site is ideal for a strong kick-off: a seminar day, a moment of collective co-creation, a team starting out together.

Remote is perfect for multi-site or international teams - our online sessions use training assistants via chat to keep things interactive (Q&A, co-writing prompts, live exercises).

Either way, the method stays the same: AI upskilling + practice + follow-up. And every session is led by a business expert, not a generalist trainer.

‍In short: on-site or remote, the format adapts to your organisation. AI Sisters keeps the same level of quality and interactivity in both cases, with business experts dedicated to each session.

Which tasks can I really hand over to AI in my team today?

The best way to answer is by role.

‍HR: screen CVs, generate job descriptions, write emails to candidates, prepare interviews.
‍Finance: explain an Excel table, write a commentary on results, prepare a forecast budget.
‍Marketing / Comms: create an editorial calendar, adapt a message into several formats, A/B test hooks.
‍Sales: write prospecting emails, personalise sequences, prepare responses to tenders.
‍Legal: analyse an NDA, flag risky clauses, generate a first draft to review.
‍Leadership: summarise committee meetings, prepare strategy notes, build impact scenarios.

In our AI workshops, we do not show fictional cases. We take your real documents and test AI on them, live.

Before AI: 2 hours to write meeting minutes.
With AI: 20 minutes.
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Before AI: 3 hours to analyse an Excel file.
With AI: 30 minutes.

‍In short: AI can speed up dozens of practical tasks in every department. AI Sisters helps you identify the ones with the most impact for your team, and test them straight away on your own documents.

My team is not technical. Can they still use AI?

Yes. In fact, that is the whole point.

Our approach is 100% role-based, with no technical jargon. We start from your teams' real problems (lost time, repetitive tasks, heavy reporting) and show how to turn them into simple prompts.

At the end of the workshop, each participant leaves with ready-to-use prompt templates adapted to their job.

The goal is not to train data scientists. It is for every employee to be able to say: "This is how AI helps me in a typical day."

‍In short: You do not need technical skills to use AI every day. AI Sisters turns the tools into accessible, role-based practices, and gives every participant prompts they can use the very next day.

How can I be sure AI does not make mistakes in a sensitive context (legal, medical, financial)?

It is a more than legitimate question, and we address it directly in our training.
We do not just show what AI can do. We also stress what should not be delegated to it, how to review and validate its answers, and how to combine a clear business brief with a well-built prompt to get the best quality.

Our experts know the constraints of your sector: compliance, deadlines, accuracy, GDPR, approved tools.
Nothing is left to improvisation.

‍In short: AI Sisters builds the limits and risks of AI into its training. Your teams learn to use AI reliably, knowing what they can hand over to it and how to check the results.