Text-to-Music Generation
Generates original music tracks from natural language descriptions, allowing users to specify genre, mood, tempo, or style in a single prompt.
ElevenLabs Music (music_v1) is a music generation model developed by ElevenLabs that produces original audio tracks from text descriptions. Users can specify a genre, mood, style, or use case in natural language, and the model generates a corresponding track with or without vocals. It supports multiple languages for vocal content, making it usable across a range of regional and stylistic contexts. The model is designed for creators who need customized background music, scored content, or vocal tracks without requiring traditional music production tools. It accepts text as its sole input type, meaning the entire creative direction is communicated through descriptive prompts. ElevenLabs Music is well-suited for video producers, game developers, content creators, and anyone needing original audio generated quickly from a written description.
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ElevenLabs Music (music_v1) is a music generation model developed by ElevenLabs that produces original audio tracks from text descriptions. Users can specify a genre, mood, style, or use case in natural language, and the model generates a corresponding track with or without vocals. It supports multiple languages for vocal content, making it usable across a range of regional and stylistic contexts.
The model is designed for creators who need customized background music, scored content, or vocal tracks without requiring traditional music production tools. It accepts text as its sole input type, meaning the entire creative direction is communicated through descriptive prompts. ElevenLabs Music is well-suited for video producers, game developers, content creators, and anyone needing original audio generated quickly from a written description.
Generates original music tracks from natural language descriptions, allowing users to specify genre, mood, tempo, or style in a single prompt.
Produces tracks with or without vocals, giving creators control over whether the output includes sung or spoken elements.
Supports vocal generation in multiple languages, enabling music creation for international or region-specific audiences.
Accepts descriptive prompts covering any musical genre or style, from classical and jazz to electronic and hip-hop.
Takes plain text as the only input type, translating written descriptions of sound, mood, or use case directly into audio output.
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(Optional) The length of the song to generate in milliseconds. Must be between 10000ms and 300000ms. If not provided, the model will choose a length based on the prompt.
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ElevenLabs Music discussions are most active in r/ElevenLabs, r/aitubers, r/nanocurrency. Top Reddit threads cluster around benchmark and model-comparison threads.
The strongest match in this snapshot has 75 upvotes and 30 comments.
**Sharing My ElevenLabs Music Results (New Feature Test)**
I’ve been testing out the new music feature on **ElevenLabs**, and wanted to share some early results.
**Creator Name:** Aurora Audio Lab
**Started:** 20 days ago
**Stats so far:**
* 63 titles published
* 1,059 total interactions
* **$23.50 total earnings**
**My Thoughts So Far**
This is still a *very new feature*, but I actually think it’s a solid addition—especially if you’re already paying for a Creator or Pro account.
I personally don’t use a lot of my credits for voiceovers or agents, so this has been a great way to **get extra value out of unused credits**.
That said:
* Engagement is still a bit slow
* Discovery could definitely improve
* But for something this new, I’m honestly happy with the results so far
Feels like something that could scale over time as more users adopt it.
**Check Out My Library**
If you want to browse what I’ve been making, you can find me under:
**Aurora Audio Lab**
Or here:
[https://elevenlabs.io/app/music/explore/creator/XFspBmpZaJ85AvX8wC6p?selectedSongId=RychwzidI4LyL2fyncPd](https://elevenlabs.io/app/music/explore/creator/XFspBmpZaJ85AvX8wC6p?selectedSongId=RychwzidI4LyL2fyncPd)
**Final Take**
Not a huge moneymaker (yet), but definitely a **nice bonus feature**—especially if you’re already in the ecosystem.
Curious if anyone else is seeing similar results or if certain genres are performing better 👀
Been experimenting with AI music across cinematic pop, techno, deep house, Bollywood-inspired sounds, ambient, and experimental electronic styles on ElevenLabs Music 🎵
[https://elevenlabs.io/app/music/explore/creator/exFz511L5yrwhcIz7x6z?selectedSongId=11wqUC53IuLzMxPtKsIb](https://elevenlabs.io/app/music/explore/creator/exFz511L5yrwhcIz7x6z?selectedSongId=11wqUC53IuLzMxPtKsIb)
Just did a deep dive into today's trending board across top 25 tracks. Here's what the data shows:
**What's working right now:**
→ Cinematic is still king — 18/25 trending tracks carry it
→ Dark / Documentary sub-niche just hit #1 (see below 👇)
→ Short-form (≤90s) holds 7 of the top 10 slots
→ BPM sweet zone: 103–129. Five top-10 tracks sit at exactly 120 BPM
→ Genre diversity is expanding — Country Pop, Tech House, Afro House all charting
**Biggest mover today:**
🎬 \*RTA — Unanswered Questions — Dark Cinematic Documentary\* just climbed to \*\*#1 Trending\*\*
→ Orchestral suspense, 103 BPM, 1m30s, Video & Film + Podcasts & Audio
Happy to check your track's labels or collection assignments if you want a second pair of eyes 👁️
Check it out at https://elevenlabs.io/app/music/explore/view/trending
Rising Tony Academy
ElevenLabs Music accepts text as its only input type. Users describe the desired sound, mood, genre, or use case in natural language, and the model generates a corresponding audio track.
Yes. The model can generate tracks with or without vocals, and vocal output is supported in multiple languages.
No context window is specified in the available metadata for ElevenLabs Music. The model is prompt-driven, so the practical limit is determined by the length and complexity of the text description provided.
No training date or knowledge cutoff is listed in the available metadata for this model.
The model is designed for use cases that require original audio tracks generated from text, such as background music for videos, game soundtracks, content creation, and any scenario where custom music is needed without traditional production tools.
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