You’ve put the finishing touches on that video you’ve been planning for months, and the only thing left to do is find the perfect music for it. To really match the mood, the first minute needs to be brooding and atmospheric, and then, as the scene shifts, it needs to be softer and more introspective to pull the viewer in.
You spend a good hour hunting for that perfect composition until the penny finally drops… It doesn’t exist. Yet.
The good news is, with text-to-music AI, you can create it. You simply type your description, describing the genre, mood, energy, and pace, then with a click of a button, you have a totally unique and fully licensed track to use with your project – similar to Artlist’s Image-to-Music generator.
Google’s latest music generator tool, Lyria 3, now available in Artlist’s toolkit, generates instrumental tracks or songs with lyrics in seconds. It’s designed with social media and filmmakers in mind, with no genre, cadence, or tempo off limits, so it’s practical and fun. And who knows, perhaps you’ll create the next viral AI hit.
In this article, we break down exactly how to use text to music AI, how it benefits creators, and the endless possibilities to explore.
What is text to music AI?
Also known as prompt-based music generation, text-to-music AI turns descriptions into audio. Creators guide the sound by writing exactly what they want into a text box, with as much detail as they need.
It gives creators tons of flexibility. You can tell the AI to start slow, build in tension, and end with an orchestra. Or tell it to write a hip hop beat with vocals highlighting the cultural significance of Thanksgiving.
It’s a fast (and fun) way to turn that idea in your head into something you can actually hear and suits your project perfectly.
You can do all that with Lyria 3, a new tool available on Artlist, and it’s not limited to songs — you can use it to generate ambience, tailored soundtracks for videos, social clips, or games using simple text prompts. Think “rainforest at night” or “rain against a car window.” Creators can include inside jokes and references to previous content so the viewer knows it’s totally unique to them.
Lyria 3 can generate instrumentals, lyrics, and vocals — from guitar-led tracks to full orchestral pieces — while giving users control through advanced settings like genre, mood, video theme, and tempo available on Artlist’s dropdowns.
Artists can use text-to-music AI to experiment with ideas, build demos, and test different moods. Once something works, you generate the track and export it into your video editing software, then you can edit and rearrange until your vision comes to life.
Prompt-based tools act like a creative jump-start. They help you turn a rough concept into a real track quickly and give you full creative control over the end result. Now, finding music that suits the mood of your content is as easy as typing a few sentences.
What can you generate with text-to-music AI tools?
Text-to-music AI tools are quickly becoming one of those shortcuts that creatives actually use in their workflow. It saves so much time, and instead of spending hours digging through endless music libraries or trying to compose something from scratch, you simply type a few lines and get a track that matches the idea.
So how can you use it in your workflow as a creator? Here are a few ideas to get you going:
YouTube intros
Creators often need something catchy but short to start their YouTube videos, and that 10–15 second intro sets the tone before the video starts.
Brand storytelling
Marketing teams are always on the look-out for music that matches their brand identity, whether it’s calm and trustworthy, energetic and youthful, cinematic and emotional. With text-to-music AI, teams can generate a few quick concepts based on prompts instead of licensing dozens of tracks to test.
Social media content
Short-form video apps rely heavily on music to set the mood, and a creator might want something playful, dramatic, or suspenseful depending on the story they’re telling. Creators can quickly produce the exact vibe of the video and save time.
Background music for short films
With AI music, filmmakers can generate soundtracks even in the early stages of editing when you just need a placeholder to help shape pacing and emotion. Then, once the final edit’s locked in, you can generate the exact track tailored to your needs.
Pitch demos and concept work
Lots of creatives need to present their ideas before committing to making them and music instantly makes the pitch feel more complete. Instead of explaining the mood verbally, you can generate a soundtrack that helps people hear the vision and, hopefully, commission a fantastic project.
So text-to-music AI isn’t actually replacing traditional composers or licensed tracks. It’s just making it so much easier to prototype ideas quickly, experiment with moods, and add a musical layer to creative projects without a long production process. And it relieves the headache for content creators who want to generate a track that fits their short-form project fast without having to worry about licensing.
How text prompts shape music
AI music generator text to song technology is unlike traditional music production, where you choose instruments, tempo, and create the structure. With text-to-music AI, the prompt itself shapes the final track.
The more specific the prompt, the more control you have over the outcome, and the best prompts turn text to song by including a few core components, as well as creative control through Artlist’s dropdown options:
Genre is usually the starting point. This tells the model what musical language to work with to immediately set the stylistic direction. Even a single genre word like “techno” will drastically change the sound of the generated track,
Next is tempo or energy level. There’s no need to write the exact BPM — you can describe it as “slow ambient,” “mid-tempo groove,” or “fast energetic beat.”
Instruments are another crucial detail. Adding specific sounds helps narrow the result and makes the music feel more intentional. For example, “analog synths and drum machine” will help define the character of the track.
You can also guide the music with vocals. Some prompts specify “instrumental background music,” which means there won’t be any lyrics – useful for video content – while others will ask for “female vocal pop song”. You can customize it to suit your subject matter, even if it’s really obscure.
Finally, there’s an emotional tone which ties everything together. Words like “nostalgic,” “uplifting,” “melancholic,” or “dramatic” influence both the melody and arrangement.
Here’s an example of a typical prompt for a pop track:
“Upbeat indie-pop track with whimsical guitar, playful percussion, and light synths. Cheerful, bright medium tempo, happy mood.”
By combining genre, tempo, instruments, vocals, themes, and emotion, creators can shape surprisingly detailed pieces of music using nothing more than a few lines of text. For more examples, read this blog post about AI and stock music.
Create music with Lyria 3
Lyria 3 is a new text-to-music AI model developed by Google and integrated into the Artlist AI Toolkit. It generates music directly from written prompts, so creators can describe the track they want, and the model produces a piece to match.
The model can generate tons of different genres including house, trap, pop, electronic, hip-hop, ambient, and cinematic music, and it’s fast. The music’s generated automatically so creators can experiment with multiple ideas in minutes.
This makes the tool useful for quick concept work, video content, or early-stage creative projects, where testing different moods and sounds quickly can really benefit the creator and define the final direction.
Tips for better prompts
When it comes to text-to-music models, prompts are everything, so here are a few tips to get the most out of them:
- Be specific: Include details like genre, tempo, and instruments, and avoid vague descriptions.
- Describe the mood: Words like uplifting, dark, dreamy, nostalgic, or energetic help shape the atmosphere.
- Mention instruments: For example, piano, synth pads, acoustic guitar, violins or heavy drums.
- Choose vocals or instrumental: Specify if you want instrumental background music or vocals with lyrics — and, if the latter, include the subject matter.
- Reference a scene or use case: Example: “upbeat intro for a YouTube video.”
- Add lyrical themes (if relevant): Such as summer road trips, friendship, or overcoming challenges.
- Experiment and refine: Small changes in wording can produce very different results, so have fun playing around with your initial concept.
Turn words into music
Text-to-music AI is no longer a pipe dream. It’s now a practical tool that lets creators bring their musical visions to life with just a few words and in even fewer seconds.
You can use it to make YouTube intros, social media content, cinematic soundscapes, presentations, and concept demos, and Lyria 3 makes it fast and easy to experiment with sound, mood, and style.
Simply describe the genre, instruments, tempo, and emotional tone, and generate a track that fits your project perfectly.
Are you ready to explore what text-to-music AI has to offer? Head over to Artlist and start turning your prompts into music today.
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