Search music using keywords
Generate music from text
Transform and render any MIDI
Create phonk remixes by uploading songs
Create music from an image
Generate captions for your music files
Convert uploaded audio to MIDI notes
unlimited Audio generation with a few added features
In-browser text-to-music w/ Transformers.js!
Create music captions from audio files
Generate cover versions from songs by modifying Mel Spectrograms
Identify music genres in audio files
Generate music based on text and melody inputs
Semantic Audio Search w/ Transformers.js is a powerful tool designed for music generation and discovery. It enables users to search music using keywords, leveraging advanced AI and machine learning techniques. Built on top of Transformers.js, this tool combines natural language processing (NLP) with audio analysis to deliver.semantic search capabilities for music.
Install the library: Use npm to install the required packages:
npm install semantic-audio-search
Import the library: Include the necessary modules in your JavaScript project:
const { AudioSearch, transformAudio } = require('semantic-audio-search');
Initialize the search engine: Create an instance of the search engine:
const searchEngine = new AudioSearch();
Load audio files: Provide audio files or URLs to the engine for processing:
const audioFile = 'path/to/your/audio.mp3';
searchEngine.addAudio(audioFile);
Perform keyword search: Use descriptive keywords to find relevant audio tracks:
const results = searchEngine.search('relaxing jazz');
Process results: Handle the search results as needed in your application:
console.log(results); // Array of matching audio tracks
How does the semantic search work?
The search engine uses NLP to understand the context of keywords and matches them with audio metadata, ensuring more accurate results.
What file formats are supported?
The tool supports MP3, WAV, and AIFF file formats, ensuring compatibility with most music libraries.
Does the tool work with noisy or poor-quality audio?
Yes, the tool includes noise reduction and quality enhancement features to improve search accuracy, even for lower-quality audio.