Mureka Song Editing

Upload files to Mureka to use them in other endpoints

Separates a song into downloadable audio stems, with available stem types and optional MIDI output determined by the selected separation model.

Creates a reusable custom voice from a short vocal recording and returns a voice identifier for supported generation workflows.

Writes song lyrics and a title from a text prompt describing a topic, theme, or song concept.

Analyzes an uploaded song and returns its duration and recognized lyrics with timing information when available.

Analyzes a song from an audio URL and returns a written description, identified instruments, genres, and descriptive tags.

Transcribes generated or uploaded music into a downloadable archive that can include MusicXML, PDF sheet music, and timestamped lyrics.

Synthesizes speech from text using a built-in voice preset or an uploaded custom voice.

Continues existing song lyrics, accepting section labels alongside the supplied text and returning extended lyrics.

Creates a lyrics video from generated or uploaded audio, with selectable layouts, aspect ratios, backgrounds, and lyric-row or time-range selection.

Generates podcast audio from an ordered sequence of conversation turns, with text and a voice selection for each turn.

SOTA stemming model for voice, drums, bass, guitar and more.

Isolate audio tracks using ElevenLabs advanced audio isolation technology.

A audio understanding model to analyze audio content and answer questions about what's happening in the audio based on user prompts.

Change the voices in your audios with voices in ElevenLabs!

Audio separation with SAM Audio. Isolate any sound using natural language—professional-grade audio editing made simple for creators, researchers, and accessibility applications.

Clone your voices using Qwen3-TTS Clone-Voice model with zero shot cloning capabilities and use it on text-to-speech models to create speeches of yours!

Create Voices to be used with Kling Models Voice Control

Merge audios into a single audio using FFmpeg API!

Studio-quality speech from noisy recordings

Generate music from a lyrics and example audio using ACE-Step

Enhance speech audio by removing background noise and upsampling to 48KHz

Stable Audio 3 Medium audio-to-audio is a 1.4 billion parameter latent diffusion model that transforms an input audio clip into new stereo variations up to 6 minutes guided by a text prompt.