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Mureka

Mureka 9.5

mureka-9.5/lyrics-to-song

A music generation model with more restrained arrangements and more open space, closely following the prompt's genre, instrumentation, and mood, with more natural vocals; supports both instrumental-only and lyrics-to-song modes

Try mureka-9.5/lyrics-to-song

Input

Lyrics

Output

audio
Fill in the parameters and run — results show up here.

Pricing

mureka-9.5/lyrics-to-song per request

Unit Price $0.3215

Positioning Overview

mureka-9.5/lyrics-to-song is a text-to-music model built for song generation: developers submit lyrics, optionally along with a style direction and a vocal gender preference, and the model outputs a complete audio track featuring sung vocals and arrangement. Compared with generation approaches that simply stack up audio layers, it places more emphasis on giving melody, vocals, and emotional progression room to breathe, so the result sounds closer to human-made production and the vocals come across as more natural and convincing. It suits independent musicians, content creators, and advertising teams who need to quickly turn lyrics into listenable song demos.

Key Highlights

  • Lyrics drive the whole song — lyrics are a required input of up to 5,000 characters, and a complete track with sung vocals is generated in a single pass.
  • Restrained arrangement with less mechanical stacking — the output makes more deliberate choices in its arrangement, leaving room for melody and emotional shifts, so it sounds closer to human-made production.
  • Style and vocals can be specified as needed — an optional style description can define genre, mood, and instrumentation, while vocal gender specifies the lead singer's gender.

Capabilities

Generate a vocal song from lyrics: submit lyrics to get a complete audio track with lead vocals and arrangement, turning written lyrics directly into a finished, auditionable song.

Controllable style direction: use a style prompt of up to 2,000 characters to describe genre, mood, instrumentation, and vocal characteristics, so the result stays closer to your intended creative direction.

Lead vocal gender selection: choose female or male vocals for the lead according to the song's positioning, making it easy to quickly compare and iterate across multiple versions.

Natural vocal expression: the sung vocals are more natural and convincing in tone and emotion, well suited to song demos and content soundtracks that need vocal texture.

Use Cases

  • Independent musicians turning lyric drafts into song demos — enter self-written lyrics and a style direction to get an auditionable version with vocals, used to evaluate melodic direction and arrangement internally.
  • Content creators producing vocal theme songs — submit custom lyrics for short videos, podcasts, or games and produce song audio that can be used directly in intros and theme segments.
  • Music prototypes for advertising and brand content — use lyrics and style prompts to generate song prototypes that match a brand's tone, for auditioning and confirming direction during the pitch stage.
  • Multi-version iteration on the same lyrics — keep the lyrics fixed, swap the style prompt or lead vocal gender, and quickly produce multiple versions for A/B comparison and selection.

Limitations and Selection Advice

The output is audio only; it does not provide structured artifacts such as scores, MIDI, or stems, so engineering workflows that require post-editing must be handled separately. The arrangement style leans toward restraint and open space; if the goal is a large-ensemble, densely layered, grand arrangement, it is advisable to first validate the effect with a style prompt. Current performance notes come mostly from vendor descriptions and internal testing, with little independent third-party evaluation, so before making a formal selection, it is advisable to run samples with your actual lyrics for comparison. Lyrics are required; purely instrumental needs should use the instrumental route in the same family instead.

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