How to Use AI Music in Your Video Projects

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Finding the right background track used to mean spending hours digging through stock music libraries or paying hefty licensing fees for a single song. Today, AI music generators allow you to create custom, mood-perfect soundtracks for your video projects in minutes. This guide breaks down exactly how to prompt, generate, and integrate AI music into your editing workflow without running into copyright strikes or audio artifacts.

The Big Two: Suno vs. Udio for Video Creators

When it comes to generating full tracks from text prompts, the landscape is currently dominated by two major players: Suno and Udio. While both can produce high-quality audio, they have different strengths depending on the type of video you are producing.

Suno (currently on v4) excels at structure and musicality. If you need a cohesive three-minute background track with a consistent beat for a vlog, a tech review, or a tutorial, Suno is generally the faster path. It understands traditional song structures well and rarely loses the plot mid-song.

Udio (v1.5), on the other hand, offers unparalleled audio fidelity and complex instrumentation. It is the better choice for cinematic sequences, short films, or atmospheric B-roll where the texture of the sound matters more than a standard pop structure. Udio's output often sounds less "compressed" than Suno's, making it ideal for high-end video production.

Here is a breakdown of how the top tools compare for video production:

If you are just getting started with AI tools, check out our Start Here roadmap for a broader overview of how these audio generators fit into your overall content stack.

Prompting for Video Soundtracks

Generating music for a video requires a completely different approach than generating a standalone song for Spotify. You usually do not want vocals competing with your voiceover, and you need a specific tempo to match your visual cuts.

1. Specify the BPM (Beats Per Minute)

If you edit to the beat, tell the AI exactly what tempo you need. A fast-paced travel montage might need 120 BPM, while a slow, cinematic drone sequence works better at 70 BPM. Including the BPM in your prompt helps the AI lock into a consistent rhythm that makes editing much easier.

2. Use Industry-Standard Genre Tags

AI models understand standard musical metadata better than abstract emotional descriptions. Instead of saying "make it sound sad and thoughtful," use established genre tags like ambient, cinematic, lo-fi chillhop, synthwave, post-rock, or orchestral.

3. Exclude Vocals

Unless you are making a music video, vocals will clash with your dialogue. In Suno, always toggle the "Instrumental" switch before generating. In Udio, add tags like instrumental, no vocals, and background music to your prompt to ensure the track remains focused on the instruments.

Example Prompt for a Tech Review Video:
Instrumental, 110 BPM, lo-fi chillhop, crisp drum loop, warm synth bass, subtle electric piano, background music, no vocals, upbeat but unobtrusive

The Editing Workflow: From Generation to Timeline

Getting a good track out of the AI is only half the battle. Integrating it into Premiere Pro, DaVinci Resolve, or Final Cut Pro requires a specific post-production workflow.

Extracting and Mixing Stems

Both Suno and Udio now offer stem separation for paid users. This means you can download the track as separate audio files: drums, bass, instruments, and vocals. For video editing, this is an absolute game-changer. If the generated track has a great melody but the drums are too aggressive for your dialogue, you can simply lower the volume of the drum stem in your editor. You can also mute the drums entirely during a quiet moment in your video, then bring them back in for a transition.

Looping and Extending

AI generators typically output 2 to 4-minute tracks. If your video is 10 minutes long, you have two options:
1. In-App Extension: Use the "Extend" feature in Suno or Udio to generate the next section of the song. This works well but can sometimes change the vibe of the track unexpectedly or introduce unwanted solos.
2. NLE Looping: Drop the track into your Non-Linear Editor (NLE). Find a clean four-bar loop, cut it on the beat, and duplicate it as many times as needed. This ensures the background music remains consistent throughout your talking-head segments.

If you are struggling with audio mixing or finding the right loop points, there are some great threads in the community forum where creators share their EQ settings and editing tricks for different AI tracks.

Navigating Copyright and YouTube Content ID

The legal landscape around AI music is still evolving, but there are practical realities you need to understand today to protect your channel and your business.

First, you must have a paid subscription to use Suno or Udio commercially. Free tiers only grant non-commercial rights. If you monetize your YouTube videos, run sponsorships, or use the music for client work, you need the $10/month Pro tier. Do not risk your channel's standing to save ten dollars.

Second, AI-generated music cannot currently be copyrighted in the US because it lacks human authorship. This means you cannot register the track and claim it as your exclusive property. Anyone else can technically use the exact same track if they find it.

Third, and most importantly for YouTubers: Do not upload AI music to Content ID systems. Some distributors allow you to upload tracks to Spotify and Apple Music, which then automatically feed into YouTube's Content ID system. If you do this with an AI track, you risk falsely claiming copyright on other creators who might generate similar-sounding audio. YouTube is actively penalizing channels that abuse Content ID with AI-generated assets.

Common Pitfalls and How to Fix Them

AI music is powerful, but it is not flawless. Here are the most common issues you will encounter and how to handle them in post-production.

The "AI Swirl" Artifacts

Sometimes, especially in complex orchestral tracks or heavy electronic drops, the audio will sound compressed, metallic, or "swirly" in the high frequencies. This is a hallmark of AI audio generation.
The Fix: Apply a subtle low-pass filter in your editing software to roll off the frequencies above 12kHz. This hides the worst of the digital artifacts without ruining the track. You can also layer a subtle vinyl crackle or tape hiss underneath to mask the digital imperfections.

Abrupt Endings

AI models often struggle to end songs gracefully, either cutting off mid-measure or fading out unnaturally.
The Fix: Do not rely on the AI's ending. Cut the track at the final downbeat you want to use, add a crash cymbal or a sub-bass drop from a traditional sound effects library, and apply a manual volume fade over two seconds.

Overpowering the Voiceover

AI tracks are often mastered very loud, competing directly with human speech frequencies (1kHz to 4kHz). If you just drop the track onto your timeline, your audience will struggle to hear you.
The Fix: Use audio ducking. Set your voiceover track to automatically lower the volume of the music track by -12dB to -18dB whenever you speak. Additionally, apply an EQ to the music track and pull down the 2kHz range by -3dB to carve out space for your voice.

Final Thoughts on AI Audio Integration

Using AI music in your video projects is no longer a novelty; it is a practical way to get bespoke audio without the hassle of licensing negotiations or stock library fatigue. Start by subscribing to the entry-level paid tier of either Suno or Udio (around $10/month), practice prompting for specific BPMs and genres, and learn to manipulate stems in your editing software.

As you build your workflow, remember that the music should serve the video, not distract from it. Keep your prompts focused on mood and pacing, and rely on your editing skills to make the final track fit perfectly. For more deep dives into AI content creation, browse our other guides on the blog or read more about our mission to help creators build sustainable businesses.