ChatGPT Plugin

Mozonic

Analyze, fix & master mixes

Brand: Mozonic

Category: Content & Design
Primary Subcategory: Music & Sound Generation

Integration details

Description

Mozonic is a music production tool for mixing and mastering. Analyze a mix's frequency balance, dynamics, and loudness, queue DSP autofix corrections, render existing stem sessions, master tracks to streaming loudness targets, and download the finished audio from your Mozonic Pro library.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Content & Design
Primary Subcategory: Music & Sound Generation
Secondary Subcategories: None listed
Brand: Mozonic
Access: Account required
First tracked: 2026-10-25
Tool count: 16
Market: US

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Primary Subcategory

Competing in ChatGPT Music & Sound Generation

View Category

Listed in alphabetical order

Primary Subcategory

AI Jingle MakerComing soonGet notified

AI Music MakerComing soonGet notified

AINSOFComing soonGet notified

Background MusicComing soonGet notified

CookUpComing soonGet notified

MozonicComing soonGet notified

Tools

16 tools agents can invoke

Cancel a running background job by its task_key from mozonic_jobs_active.
mozonic_task_cancel
Ask Mozonic's mixing assistant a single question — e.g. why a mix sounds muddy or what the autofix changed. Pass mix_id to ground the answer in that mix's analysis; pass the thread_id returned by a previous call to continue the same server-side conversation. Send only the user's current question, never prior conversation content.
mozonic_chat
Queue DSP autofix correction on an analyzed mix (Pro). Asynchronous: returns immediately; poll mozonic_jobs_active, then fetch the file with mozonic_download_mix. Optional: - genre + genre_intensity (0..1, default 0.6): flavor the correction toward a genre. Only pass when the user names a genre or vibe. - target_profile: also master the corrected mix to a loudness target; download with download_type=mastered when done. The original audio is never overwritten; corrections create a new render. To fix a song not in the library yet, the user uploads it first in the Mozonic app (https://app.mozonic.com).
mozonic_correct_mix
Presigned download link for a mix's audio: corrected (after autofix), mastered (after autofix with target_profile), or original. Links expire — share promptly.
mozonic_download_mix
Current Mozonic user account (email, plan). Use to confirm sign-in.
mozonic_auth_me
Presigned download link for a mastering session's audio (mastered or input).
mozonic_download_mastered_track
Mastering session detail: source file, target profile, render status.
mozonic_get_mastering_session
Mix detail with analysis results (frequency balance, dynamics, loudness).
mozonic_get_mix
Presigned download links for a stem session's rendered artifacts.
mozonic_download_stem_session
Stem session detail: stems, analysis status, and render status.
mozonic_get_stem_session
Active background jobs (analysis, correction, render, mastering). Poll after queueing work until the job completes.
mozonic_jobs_active
Paginated list of the user's standalone mastering sessions (Pro).
mozonic_list_mastering_sessions
Paginated list of the user's mixes in their Mozonic library (Pro).
mozonic_list_mixes
Paginated list of the user's stem sessions (Pro).
mozonic_list_stem_sessions
Queue (or re-queue) the mastered render for an existing mastering session. Asynchronous: poll mozonic_jobs_active, then use mozonic_download_mastered_track. New source tracks are uploaded in the Mozonic app (https://app.mozonic.com); to master a library mix instead, use mozonic_correct_mix with a target_profile.
mozonic_render_mastering_session
Queue a stem session bounce (output_mode=mix) or bounce + master (output_mode=mastered_mix, optional target_profile). Asynchronous and can run a long time — "processing" is success; poll mozonic_get_stem_session or mozonic_jobs_active, then use mozonic_download_stem_session. Stem uploads happen in the Mozonic app (https://app.mozonic.com).
mozonic_render_stem_session

FAQs

Mozonic ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Mozonic's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Mozonic alternatives on ChatGPT?

As of 2026-10-28, Mozonic competes with AI Jingle Maker, AI Music Maker, AINSOF, Background Music, CookUp, Daydream, Midify, Mirelo and 8 more in ChatGPT Music & Sound Generation, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.