87% of music makers already use AI somewhere in their workflow. Most use it for mastering, stem separation, or noise reduction. Some use it for composition. A growing number create full tracks with generators like Suno or Udio.
LabelGrid accepts all of it. One condition: be honest about how it was made.
This guide covers what we accept, what we don’t, how our disclosure system works, and what each streaming platform requires.
What We Accept
LabelGrid distributes AI-assisted and AI-generated music to all major DSPs. No blanket bans, no rate limits, no waiting lists.
What counts as AI-assisted? Using AI tools for mixing, mastering, noise reduction, stem separation, arrangement suggestions, or sound design, while you maintain creative control over the final result.
What counts as AI-generated? Content where AI is the primary creative force: generating melodies, vocals, instrumentals, or entire tracks from prompts. This includes tools like Suno, Udio, and similar platforms.
Both are welcome. The distinction matters for disclosure, not for whether we’ll distribute it.
What We Don’t Accept
Three things will get your release rejected:
Impersonation. AI-generated voices that imitate a real artist without their written permission. No deepfake vocals, no cloned voices, no sound-alikes designed to deceive.
Deceptive metadata. Listing a real artist’s name on an AI-generated track, or hiding AI involvement in credits. If AI made it, the metadata needs to say so.
Mass-produced spam. Hundreds of low-effort AI tracks uploaded to game streaming algorithms. We review for this, and DSPs actively remove it. Spotify pulled 75 million spam tracks in 12 months.
How Our Disclosure System Works
Every release on LabelGrid requires AI disclosure at two levels:
Artwork (release level). When you upload artwork, you declare: no AI used, AI-assisted, or AI-generated. This applies to album covers, single artwork, and any visual assets.
Audio (track level). Each individual track gets the same three options. A release can have a mix: some tracks human-made, others AI-assisted, others fully generated. You declare each one separately.
These fields are required, not optional. You can’t skip them. And the information gets transmitted to every DSP you deliver to.
Why per-track instead of per-release? Because a 12-track album might have 10 human-recorded songs and 2 AI-assisted interludes. Blanket per-release disclosure wouldn’t capture that. Per-track gives DSPs the granularity they need.
What Each Platform Requires
Every DSP handles AI disclosure differently. Your declaration on LabelGrid maps to each platform’s requirements automatically, but it helps to understand what they expect.
Spotify adopted the DDEX standard for AI disclosure in September 2025. Tracks are labeled in credits showing AI involvement in vocals, instrumentation, or post-production. AI music isn’t penalized or down-ranked. Spotify treats all music equally regardless of how it was made. What they ban: unauthorized AI voice clones and impersonation.
Apple Music launched Transparency Tags in March 2026. Four categories: artwork, track, composition, and music video. Labels and distributors determine what qualifies as “material” AI use. Tags are required for new content going forward.
YouTube requires disclosure when content contains realistic AI-generated elements that viewers might mistake for real. Monetization since July 2025 requires content to be “significantly original and authentic.” Mass-produced AI content won’t qualify.
TikTok is the strictest. Unlabeled AI content gets immediate strikes, not warnings. 51,618 synthetic media videos were removed in the second half of 2025 alone. If your music ends up on TikTok, proper labeling is not optional.
Deezer actively detects AI-generated music. They tag it and exclude it from algorithmic recommendations. They’ve reported that 39% of daily uploads are AI-generated and that up to 85% of AI music streams are fraudulent.
Bandcamp banned AI music entirely in January 2026. If you distribute through LabelGrid, your AI-generated tracks won’t go to Bandcamp.
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Start Free TrialCopyright: What You Should Know
The legal status of AI-generated music is still evolving, but a few things are clear.
The US Copyright Office ruled in January 2025 that AI-generated work can only be copyrighted when it includes meaningful human authorship. Prompts alone don’t qualify. If you typed a prompt into Suno and hit generate, you likely don’t hold copyright on the output. If you recorded your own vocals over an AI-generated instrumental, arranged it, mixed it, and made creative decisions throughout, that human contribution is copyrightable.
The Grammy Awards accept AI-assisted music for consideration, but awards go only to the human authorship component. A track needs “meaningful and more than de minimis” human creative contribution.
The practical takeaway: document your creative process. Keep records of what AI tools you used, what prompts you entered, what elements you created yourself, and what creative decisions you made. If you ever need to prove authorship, this documentation matters.
A Checklist Before You Upload
Before submitting an AI-assisted or AI-generated release on LabelGrid:
- Verify your rights. If you used an AI tool, check its terms of service. Some platforms (like Suno) state that they, not you, own the output. Make sure you have the right to distribute.
- Declare AI involvement accurately. Set the artwork disclosure at release level and the audio disclosure on each track. Don’t understate it.
- Check your metadata. No real artist names on AI tracks. No misleading credits. Artist name should reflect who you are or your project name.
- Review DSP-specific rules. Your release goes to all DSPs you’ve selected. If one platform has stricter rules (TikTok, Bandcamp), consider whether to exclude it for specific releases.
- Keep documentation. Which AI tools you used, what human input you provided, what creative decisions you made. Store this somewhere accessible.
- Avoid impersonation. No cloned voices, no sound-alikes of real artists, no artwork mimicking another artist’s visual identity.
Frequently Asked Questions
Does LabelGrid accept fully AI-generated music?
Yes. LabelGrid distributes both AI-assisted and fully AI-generated music. The only requirement is accurate disclosure of AI involvement during upload. Impersonation, deepfakes, and deceptive metadata are not permitted.
What AI disclosure do I need to provide?
Two declarations: artwork AI usage at release level, and audio AI usage per track. Each has three options: no AI used, AI-assisted, or AI-generated. This information is transmitted to all DSPs automatically.
Can AI-generated music be copyrighted?
The US Copyright Office ruled that AI-generated work can be copyrighted only when it includes meaningful human authorship. Prompts alone don’t qualify. If you add substantial human creative input (vocals, arrangement, mixing decisions), that contribution is copyrightable. Document your creative process.
Which streaming platforms accept AI music?
Spotify, Apple Music, YouTube, Amazon Music, Deezer, and TikTok all accept AI music with disclosure requirements. Bandcamp banned AI music entirely in January 2026. Each platform has different labeling requirements, which LabelGrid’s disclosure fields map to automatically.
Getting Started
Upload your release at app.labelgrid.com. The AI disclosure fields appear during the upload flow: artwork on the release tab, audio on each track’s master tab.
For the full policy details, read our AI-generated content guide.
If you’re also concerned about protecting your human-made catalog from AI training, read our companion post: Your Music, Your Control.
AI music, distributed right.
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