Suno

Converts natural language text prompts into complete, production-ready songs including lyrics, vocal performances, and instrumental arrangements in a single end-to-end generation pass. The system processes the prompt through a multi-modal AI model (v4.5-all on free tier, v4-v5.5 on paid tiers) that simultaneously generates melodic structure, harmonic progression, lyrical content, and instrumental accompaniment, outputting a playable audio file without requiring intermediate steps or manual composition.

Accepts user-written lyrics as input and generates a complete song by composing melody, harmony, vocal performance, and instrumental accompaniment to match the provided lyrical content. The system analyzes the lyrical structure, meter, and thematic content to create musically coherent arrangements that align with the supplied words, enabling songwriters to provide creative direction while delegating composition and production to the AI model.

Provides predefined voice personas and singing styles that can be applied to song generation to control vocal characteristics (gender, age, accent, emotional delivery, vocal timbre). The system maps user-selected personas to underlying voice models and applies them during generation or post-generation processing to achieve consistent vocal styling across songs.

Enables creation of personalized voice models by uploading user-provided audio samples (voice recordings, singing performances, or reference vocals). The system analyzes the acoustic characteristics of the uploaded audio and fine-tunes or adapts the underlying voice synthesis model to replicate the user's voice or a reference vocal style, enabling generation of songs with that specific voice without manual recording.

Generates detailed song descriptions or prompts from minimal user input by using language models to expand brief ideas into rich, detailed specifications that guide song generation. The system interprets user intent from short phrases or keywords and elaborates them into comprehensive descriptions that improve generation quality and coherence.

Enables iterative songwriting collaboration where users and the AI system exchange ideas, lyrics, and musical directions in a back-and-forth workflow. The system generates song components (lyrics, melodies, arrangements) based on user input and accepts user feedback to refine and iterate, creating a collaborative composition process rather than single-pass generation.

Provides access to multiple AI model versions (v4, v4.5, v4.5+, v5, v5.5) with different capabilities and quality characteristics, enabling users to select which model to use for generation based on their needs. The system allows comparison of outputs across models and selection of the best-performing version for specific use cases, with v5.5 positioned as the highest-quality option.

Implements an asynchronous job queue system where song generation requests are processed in order with different priority levels based on subscription tier. Free tier users share a queue with 4 concurrent generation slots, while Pro/Premier users get a priority queue with 10 concurrent slots, affecting wait time and generation latency. The queue-based architecture enables scalable processing but introduces variable latency.

Implements a credit-based consumption model where each song generation consumes a fixed number of credits (approximately 5 credits per song based on free tier allocation of 50 credits/day for 10 songs). Credits are allocated daily for free tier and monthly for paid tiers, with no rollover between periods. The system enforces hard limits on generation volume based on credit allocation and prevents generation when credits are exhausted.

Extends the length of previously generated songs by generating additional sections (verses, choruses, bridges, outros) that maintain musical and lyrical coherence with the original composition. The system analyzes the harmonic progression, melodic patterns, lyrical themes, and structural conventions of the input song to generate new material that feels like a natural continuation rather than a disconnected segment.

Creates new vocal and instrumental arrangements of existing songs by analyzing the original composition and generating alternative performances that maintain the core melody and harmonic structure while applying different vocal styles, instrumentation, or production aesthetics. The system preserves melodic and harmonic identity while reimagining arrangement, vocal timbre, and instrumental texture.

Decomposes generated songs into up to 12 separate audio tracks (vocals, drums, bass, strings, synths, etc.) that can be individually edited, mixed, or re-exported. The system uses source separation techniques to isolate instrumental and vocal components from the mixed stereo output, enabling downstream mixing, mastering, or integration into DAWs for further production work.

Adds vocal performances (singing or spoken word) to existing instrumental tracks or audio files by analyzing the harmonic and rhythmic content of the input audio and generating vocal lines that align with the underlying music. The system synthesizes vocal performances that match the tempo, key, and melodic contour of the provided instrumental, enabling users to add vocals to pre-existing music without recording.

Adds instrumental accompaniment (drums, bass, strings, synths, etc.) to existing vocal tracks or a cappella recordings by analyzing the harmonic and rhythmic content of the input vocals and generating instrumental arrangements that complement the vocal performance. The system synthesizes instrumental parts that match the tempo, key, and phrasing of the provided vocals.

Modifies the playback speed and tempo of generated songs through a remix feature that time-stretches or pitch-shifts the audio to match desired BPM or duration targets. The system adjusts tempo while maintaining or optionally shifting pitch, enabling adaptation of songs to different contexts without regeneration.

Enables trimming of song length and application of fade-in/fade-out effects through a basic editing interface. The system allows users to specify start and end points for cropping and apply linear or curved fade envelopes to the beginning and end of audio, enabling simple post-production adjustments without DAW knowledge.

Enables replacement or insertion of specific song sections (verses, choruses, bridges, outros) by regenerating those sections while preserving the rest of the song. The system analyzes the structural context and regenerates targeted sections to maintain harmonic and melodic coherence with surrounding material, enabling surgical edits without full song regeneration.