Music to Prompt
Upload a reference track and turn it into a MusicMake prompt, style tags, negative prompt, and generation settings.
Upload a reference track to start.
Upload audio to get a prompt, style tags, negative prompt, settings, and a streamed analysis summary.
Direct model listening
Send the reference to Doubao audio understanding instead of local analysis.
Doubao audio understanding
Use audio understanding where it matters: style, mood, instruments, and production texture.
Prompt-first output
Return a copy-ready prompt, style tags, negative prompt, and settings.
From uploaded audio to usable music insight
Use Doubao audio understanding directly to reverse-engineer a prompt.
Start with a track
Upload a song, stem, demo, or voice memo directly in the tool page.
Infer prompt signals
Let the model infer tempo feel, energy, arrangement cues, and production texture.
Turn it into a prompt
Get a prompt, tags, negative prompt, and generation settings grounded by the audio read.
How it works
Listen to the reference, stream the public analysis summary, then return a copy-ready prompt.
Upload audio
Choose an MP3, WAV, AAC, M4A, or another supported audio file.
Read the music
Doubao audio understanding listens for style, mood, arrangement, instruments, and production texture.
Reverse the prompt
The model converts its audio understanding into a practical MusicMake prompt.
Make songs from an idea, not a DAW.
Prompt, generate, extend, and export in one workflow built for creators who need music fast.
Musique vers Prompt -écoutez avant d'écrire
Importez une piste de référence et laissez la compréhension audio de Doubao déduire le style, l'ambiance, l'instrumentation, l'arrangement et la texture de production avant la rédaction du prompt.
Sortie de prompt inversé -prêt pour la génération
Le résultat est structuré pour l'action : un prompt MusicMake, des balises de style, un prompt négatif et des paramètres directement exploitables dans les workflows de génération ou de remix.
Analyse fondée -évitez les suppositions non fondées
Le workflow est conçu pour décrire une direction musicale similaire sans prétendre récupérer des prompts privés, des accords exacts, la tonalité, les paroles ou l'identité de l'artiste.
Built for grounded prompt reversal
The prompt is constrained by detected facts instead of open-ended guessing.
Prompt reversal should lead to a usable prompt
A useful reverse prompt tool should not distract users with intermediate charts. This page asks the audio model to listen for style, arrangement, mood, instrumentation, and tempo feel, then returns a copy-ready MusicMake prompt.
Why prompt reversal uses structured audio data
The prompt comes from Doubao audio understanding rather than browser-side transcription. The streamed analysis summary is shown only to build trust in the final prompt, not to turn the page into an audio-analysis dashboard.
Best for stems, melodies, hooks, and demos
Dense finished songs can still produce useful direction, but isolated vocals, hooks, stems, piano phrases, or demos usually give the model clearer style and arrangement evidence.
Audio is uploaded to the Music to Prompt API, then forwarded to Ark Files API for Doubao audio understanding. The browser does not run local music analysis for this tool.
Music to Prompt FAQ
Common questions about audio understanding and reverse-engineered prompts.
Does Music to Prompt upload my audio file?
What can it reverse-engineer today?
Can it recover the exact original prompt?
What files work best?
Is Music to Prompt free to try?
What does the output include?
How do I get a better reversed prompt?
Encore des questions ?
Turn the reference into your next prompt
Use the reverse-engineered prompt, style tags, negative prompt, and settings as a starting point for generating, remixing, or extending.
