What is AI Text to Music?–
AI Text to Music is a prompt-based music generation workflow. You describe the track you want in words, including genre, mood, instruments, energy, scene, or lyrics, and Mubert generates original music from that creative brief. It is useful when you know the feeling or use case before you know the exact musical arrangement.
What should I write in a text-to-music prompt?+
Start with the use case and mood, then add musical details. A strong prompt might include the genre, tempo, instruments, vocal direction, emotional tone, and where the music will be used. For example, ask for a bright electronic pop cue for a product launch, or a calm piano and strings underscore for a short film ending.
Can I generate instrumental music from text?+
Yes. You can describe instrumental music directly, such as background music, podcast intro music, game loops, meditation beds, trailer cues, or cinematic underscore. The prompt does not need lyrics. If you want vocals, add lyrical or vocal direction separately so the generation has a clearer song brief.
Is text-to-music output royalty-free?+
Mubert generated tracks can be used according to the rights and limits included in your Mubert plan. For commercial work, review the plan terms that match your intended use, such as videos, podcasts, ads, apps, games, client work, or social media publishing. This gives you a clearer path than one-off stock music licensing.
How is AI Text to Music different from browsing stock music?+
Stock music starts from an existing catalog, so you search until something roughly matches the brief. AI Text to Music starts from your words and creates a new track for the idea. That is helpful when the project has a specific scene, brand tone, pacing requirement, or emotional direction that stock tracks do not fit cleanly.
Can I revise the result if the first track is not right?+
Yes. Treat your prompt like a creative brief that can be edited. Change one phrase, name a different instrument, add a tempo cue, or describe the scene more clearly, then generate another option. Prompt iteration is often faster than searching for a replacement track because every revision stays tied to your project context.
