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Google

Lyria 3.5

lyria-3.5

Google's flagship music generation model that first plans the structure of intro, verse, chorus, and so on, then generates a complete song with vocals and lyrics, supports singing in multiple languages, and can be called via the unified HiAPI.ai API

lyria-3.5

Try lyria-3.5

Input

Lyrics

Output

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

Pricing

lyria-3.5 per song

Unit Price $0.090

Positioning Overview

Lyria 3.5 is a model for text-to-music scenarios, callable through the unified HiAPI.ai interface. It can generate a complete song from a music description (genre, instruments, mood, structure), or directly submit lyrics with [Verse] and [Chorus] section markers for sung performance, with optional song length, BPM, title, and random seed. The output is a complete song with vocals, suitable for developers who need to quickly obtain a well-structured finished product, for content scoring, multilingual songs, and creative demo validation.

Core Highlights

  • Organizes the whole song by section, rather than stitching fragments — before generation it plans the intro, verse, chorus, bridge, and other structures, so the finished product has clear sections and coherent flow.
  • Either a description or lyrics alone can produce a song — supplying only a music description yields an instrumental or vocal work; supplying only lyrics goes straight into sung generation.
  • Song length and tempo can be constrained in the request — you can specify a target duration of 1 to 240 seconds and a numeric BPM, making it easy to reserve length according to placement.

Capabilities

Generating a whole song from a text description: use a description of up to 10,000 characters to specify genre, instruments, mood, and structure, and directly obtain a complete track, reducing manual arrangement and editing steps.

Lyrics-driven vocals: submit lyrics containing section markers to generate a song with vocals, and optionally fill in a title, producing a lyrics-and-music demo ready for direct listening.

Controllable duration and tempo: you can request a target duration of 1 to 240 seconds and specify BPM; the actual output duration may deviate from the requested value, so design around ranges rather than exact values.

Random seeds and reproducible attempts: you can pass numeric seeds to organize multiple rounds of generation, but the same settings do not guarantee identical audio output, making it suitable for variant exploration rather than deterministic reproduction.

Audio-only output: returns a finished audio file that can go directly into an asset library or downstream distribution workflow, with no further format conversion needed.

Use Cases

  • Short-video and podcast scoring for content creators — input a music brief describing atmosphere and rhythm to get background music matching the finished video's length, ready to drop onto the editing timeline.
  • Lyrics audition demos for music creators — submit lyrics marked with [Verse] and [Chorus] to produce a listenable sung version, used for validating lyrical and melodic ideas and comparing versions.
  • Custom scoring for advertising and brand content — generate original tracks that fit the visual tone from genre, instrument, and mood descriptions, serving as scoring drafts for campaign assets.
  • Music prototypes for games and interactive media — use descriptions plus BPM and duration constraints to batch-generate atmospheric segments as early prototypes for level or interface music for team review.

Limitations and Selection Advice

It supports only text and lyrics input and does not accept image guidance; the output is a watermarked audio file, and generation results cannot be cached. A single track lasts from seconds to several minutes, so it is not suitable for cases requiring long continuous scoring or lossless high-fidelity delivery. The actual output duration and audio details are not guaranteed to match the request parameters exactly, and the same seed cannot reproduce the same result. If you need precisely controllable audio editing, stem separation, or deterministic reproduction, evaluate other solutions; this model is better suited to quickly producing structurally complete finished songs.

  • New model Added lyria-3.5 API documentation for song generation from a…

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