How to Make AI Music

To make AI music, you pick a generator like Suno or Udio, describe the song you want in a text prompt, generate a track, then refine the prompt and edit the result until it works. The whole process can take minutes, but the difference between a throwaway clip and something usable comes down to how you prompt and how you finish the track. Here’s the full workflow.

Step 1: Choose your tool

Your choice depends on what you’re after. For full songs with vocals from a text prompt, Suno and Udio are the go-to options. For instrumental background music, Soundraw or Mubert. For editable composition, AIVA. For a free starting point inside a DAW, BandLab SongStarter. If you’re not sure, our roundup of the best AI music generators compares them by job.

Step 2: Write a clear prompt

The prompt is where most of the quality comes from. Describe genre, mood, tempo feel, instruments and vocal style. “Slow soulful R&B, female vocal, warm electric piano, late-night feel” gives the model far more to work with than “make a good song.” You can usually add your own lyrics too. For full song tools, learning how to make AI songs from text and how to write better Suno prompts will sharpen this step quickly.

Step 3: Generate and compare

Generate a track — most tools give you two versions per prompt. Listen to both. Don’t expect the first result to be perfect; treat each generation as a draft. If something is close but not right, note what you’d change before you tweak the prompt.

Step 4: Refine and iterate

Adjust one thing at a time. If the energy is wrong, change the mood words. If the vocal sits oddly, describe the vocal style differently. Many tools let you extend a section, regenerate part of a song, or keep a section you like and rebuild the rest. Iteration is the real skill in AI music — the people who get great results just generate more and prompt more precisely.

Step 5: Edit and finish like a real track

AI output is raw material. To make it feel like yours, bring it into a DAW and treat it properly:

• Trim and arrange — cut weak sections, tidy the intro and outro.
• Separate stems if you can — tools like Moises or Lalal.ai split a track into vocals and instruments so you can rebalance or replace parts. See the best AI stem separation tools.
• Mix and master — even a quick pass helps. Our beginner’s guide to mixing your first song covers the essentials, and an AI mastering tool like LANDR or eMastered can polish the final bounce.

Step 6: Check what you’re allowed to do with it

Before you publish, confirm what the tool’s licence and your plan permit — commercial use, monetisation and ownership terms vary by tool and are an evolving legal area. If you intend to release or sell the track, read can you sell AI music first. This is general guidance, not legal advice.

Tips for better AI music

• Be specific about instruments and mood; vague prompts give vague results.
• Generate several versions and cherry-pick the best sections.
• Use reference language — naming an era or feel often helps more than naming an artist.
• Always finish in a DAW if you want it to sound intentional.

Frequently asked questions

Do I need music skills to make AI music?

No. The generation itself needs no musical training — you describe what you want. Basic production knowledge helps you edit and finish the track, but you can start with zero experience.

How long does it take to make an AI song?

Generating a draft takes a minute or two. Getting something you’re happy to release — with iteration, editing and a mix — can take anywhere from half an hour to an afternoon, depending on how polished you want it.

What’s the best free way to make AI music?

Several tools have free tiers. BandLab SongStarter is free and DAW-based, and most text-to-song tools offer limited free generations. See the best free AI music generators for the current options.