When distributing AI-produced tracks to streaming platforms, following the correct delivery format is a fundamental part of running a label. This article covers the practical details small labels need to know: audio file formats, metadata management, and key considerations when submitting AI tracks for distribution.
What You'll Learn
This guide is aimed at small label operators and catalog managers who need to understand the day-to-day realities of distributing AI tracks.
- Audio file formats and quality standards required for AI track distribution
- How to correctly set metadata (title, artist name, ISRC, etc.)
- Artwork and cover image specifications
- The delivery workflow for distributors like DistroKid
- Catalog management strategies for handling multiple tracks efficiently
Audio File Delivery Formats
Recommended File Formats
When distributing AI tracks, audio files are generally expected in the following formats.
| Format | Bit Depth | Sample Rate | Recommendation |
|---|---|---|---|
| WAV | 16-bit or higher | 44.1 kHz or higher | Best |
| FLAC | 16-bit or higher | 44.1 kHz or higher | Good |
| AIFF | 16-bit or higher | 44.1 kHz or higher | Good |
| MP3 | 320 kbps | - | Not recommended |
Major distributors like DistroKid and CD Baby accept WAV (16-bit/44.1 kHz) as the standard format. WAV files exported from Suno or Udio can generally be uploaded as-is.
Some distributors accept higher-quality files at 24-bit/96 kHz or above, but since streaming services compress audio in the end, 16-bit/44.1 kHz is sufficient for most purposes.
Audio Quality Checklist
Verify that your AI-generated tracks meet the following quality standards before submitting.
- Peak Level: -1 dBFS or lower (to avoid clipping)
- Loudness: Around -14 LUFS (Spotify standard)
- Noise Floor: No unnatural noise in silent sections
- Fade Out: Natural-sounding ending
Use a loudness meter in a DAW (such as Audacity or Reaper) and apply a limiter if needed. AI tool exports are often already at an appropriate level, but if you're releasing multiple tracks, maintaining consistency across all of them is important.
File Naming Conventions
When managing multiple AI tracks, establishing a consistent naming convention makes operations far more efficient.
Recommended naming examples:
ArtistName_TrackTitle_Version.wav01_TrackTitle_Master.wavISRC_TrackName.wav
Use alphanumeric characters only in file names. Some systems may misread special characters or non-Latin scripts, so sticking to English is the safest approach.
Metadata Setup
Required Metadata Fields
The following metadata fields are required when submitting for distribution.
| Field | Description | Example |
|---|---|---|
| Track Title | Official track name | "Midnight Drive" |
| Artist Name | Credit as displayed | "AI Soundscapes" |
| Album Name | Single or album | "Midnight Drive - Single" |
| Release Date | Distribution start date | 2026-02-01 |
| Genre | Primary & Secondary | Electronic, Ambient |
| Language | Lyrics language (N/A for instrumentals) | English / Instrumental |
| UPC/EAN | Album/single identifier | Auto-generated or existing code |
| ISRC | Track identifier | Auto-generated or existing code |
DistroKid automatically issues UPC and ISRC codes, so even first-time distributors have nothing to worry about. If you already have label codes, you can use those instead.
Credit Attribution for AI Tracks
How to list composer and producer credits for AI-produced tracks is a genuinely tricky question.
Common credit approaches:
- Composer: Label name or producer name
- Producer: The person who directed the production
- Notes field: Optionally add "AI-assisted production"
As of 2026, Spotify supports the "AI Music Credits" standard, and the explicit disclosure of AI involvement is expected to become the norm going forward. In the interest of transparency, disclosing AI use wherever reasonably possible is recommended.
Optimizing Genre Settings
Choose your genre settings carefully to maximize your chances of playlist placement.
Genres commonly used for AI-generated tracks:
- Electronic
- Ambient
- Lo-Fi
- Chillout
- Soundtrack
- Experimental
Select the primary genre based on the track's most prominent characteristics and use the secondary genre to add nuance. For tracks that span multiple genres, consider search discoverability on streaming platforms when making your decision.
Cover Art Specifications
Image Format Requirements
Artwork specifications are fairly consistent across major distributors.
| Field | Specification |
|---|---|
| File Format | JPG or PNG |
| Resolution | 3000×3000 pixels or higher |
| Aspect Ratio | 1:1 (square) |
| Color Space | RGB |
| File Size | Under 10 MB |
A minimum of 1400×1400 pixels is required, but creating artwork at 3000×3000 pixels is recommended to be future-proof for higher-resolution displays.
Artwork Creation Tips
Even when using AI image generation tools (Midjourney, DALL-E, etc.), keep the following points in mind.
- Text Legibility: Can the title still be read at thumbnail size?
- Brand Consistency: Does the image align with the label's visual identity?
- Copyright Issues: Does the image contain any existing characters or trademarks?
A common and effective approach is to use a design tool like Canva to overlay text on an AI-generated background image.
Delivery Workflow for DistroKid
Basic Upload Steps
Here's the general flow for distributing an AI track through DistroKid.
- Log In: Sign into your DistroKid account
- New Upload: Click the "Upload" button
- Select File: Drag and drop your WAV file
- Enter Metadata: Fill in the track information
- Attach Artwork: Upload a 3000×3000 px image
- Select Platforms: Check Spotify, Apple Music, etc.
- Set Release Date: Choose immediate or a scheduled date
- Submit: Proceed to review
Review takes anywhere from a few minutes to a few hours, and tracks typically go live on streaming services within 1–7 days.
Batch Upload for Multiple Tracks
When releasing multiple tracks as an album or EP, take advantage of DistroKid's bulk upload feature.
Steps:
- Prepare WAV files for all tracks
- Switch to album upload mode
- Set the track order
- Enter shared metadata (album name, artist name, etc.) in bulk
- Verify individual titles and durations per track
Batch uploading lets you manage ISRC and UPC codes all at once, significantly streamlining catalog operations.
Handling Post-Release Corrections
If you notice a metadata error after distribution, DistroKid allows you to correct the following:
- Track title
- Artist name (spelling corrections)
- Cover artwork
- Release date (future dates only)
Note that corrections can take anywhere from a few days to several weeks to propagate across all streaming platforms.
Catalog Management Best Practices
Creating a Track Management Ledger
If you're releasing AI tracks on an ongoing basis, set up a management spreadsheet in Excel or Google Sheets.
Recommended columns:
- Track ID (ISRC)
- Track Title
- Artist Name
- Release Date
- Distribution Status
- AI Generation Tool (Suno/Udio, etc.)
- License Info (commercial plan subscription date)
This ledger helps you prevent rights-related disputes and respond quickly during any audit.
Version Control
When releasing alternate versions of the same AI track (Radio Edit, Extended Mix, etc.), distinguish them clearly in both the file name and metadata.
Recommended labeling:
TrackName (Radio Edit)TrackName (Extended Mix)TrackName (Instrumental)
On DistroKid, different versions are treated as independent tracks and each receives its own ISRC.
Regular Release Strategy
To stay visible to streaming algorithms, aim for a consistent release cadence.
Recommended release frequency:
- Singles: 1 track every 2–4 weeks
- EPs: Once every 2–3 months (3–5 tracks)
- Albums: Once every 6–12 months (10+ tracks)
Consistent releases help Spotify's algorithm recognize your label over time, which increases opportunities for playlist placement.
Frequently Asked Questions
Q1. Is it necessary to disclose AI involvement at the time of submission?
It's not required at this point, but we recommend noting it in the comments field or internal records. Understanding which tracks are AI-generated will be important as platform policies evolve.
Q2. What if I combine material from multiple AI tools?
If you've combined elements from Suno and Udio, commercial use is permitted as long as you have active paid subscriptions to both tools. Note "Suno + Udio" in your management ledger and keep both sets of license documentation.
Q3. Can tracks be rejected during review after submission?
Yes — low-quality audio files, unsuitable artwork, and incomplete metadata are common causes of rejection. DistroKid's review process is relatively permissive, but services like TuneCore are stricter.
Q4. Can I replace the audio file after distribution begins?
Generally, no — not on DistroKid. To replace the audio, you would need to delete the existing track and re-upload it, which means a new ISRC is issued. This is why thorough quality checks before distribution are so important.
Summary
Understanding the correct delivery format for AI tracks allows you to build a smooth and reliable distribution workflow. The fundamentals are: WAV audio (16-bit/44.1 kHz), cover art at 3000×3000 pixels, and complete, accurate metadata.
Actions you can take right now:
- Build a management ledger: Start tracking your tracks in Excel or Google Sheets
- Create templates: Turn your metadata fields into a reusable template for efficiency
- Document a quality checklist: Write down your audio, metadata, and artwork review steps
Getting your delivery format right is a core part of building a trustworthy label — start now and keep growing your catalog with confidence.
This article reflects information available as of January 2026. Distributor specifications are subject to change, so please verify the latest requirements before submitting.