Introducing the AI Vocal Remover API - the ultimate solution for audio enthusiasts! Effortlessly remove vocals from your favorite tracks with support for multiple file formats like MP3, WAV, and FLAC.

Generate audio waveforms from a media URL, returning normalized waveform points, duration, precision, and sample count for visualization and analysis.

Extract accurate BPM, musical key, mode, tempo, and detailed audio characteristics from Spotify tracks through a simple, reliable API.

DJ-grade audio analysis for any Spotify track ID or ISRC: BPM, Camelot and Open Key, mood, and 9 DJ performance scores, plus harmonic key matching, seeded discovery by BPM or key, synced lyrics, playlist and radio traction signals, and library export to rekordbox XML, M3U or cue sheet. Precomputed across 250M+ tracks.

Extract detailed waveform information from a media URL, including normalized waveform points, playback duration, precision, and total samples for visualization and analysis.

Create waveform data from a media URL with normalized amplitude points, duration, precision, and sample count for audio visualization and processing.

Identify songs from audio recordings and retrieve comprehensive track details, including title, artist, album, genre, artwork, metadata, links, and recognition data.

Access detailed BPM data of Spotify tracks, perfect for developers building music-related applications.

Analyze Spotify tracks and return detailed audio characteristics, including mood, energy, danceability, happiness, tempo, key, popularity, and other musical attributes.

Identifies songs from audio files and returns detailed information about tracks, artists, albums, genres, and music services.

Advanced multimodal AI API that analyzes images, audio, and video — extracting text, scene descriptions, and visual/audio context in one unified request.

Identify songs instantly from audio clips, retrieving artist, title, album, genre, artwork, and music links with fast, accurate recognition results.

Detect and identify songs from audio recordings while providing rich track information, including artist, title, album, genre, cover artwork, metadata, streaming links, and recognition results.

Recognize music from audio files and return detailed information about the matched track, such as song title, artist, album, genre, artwork, metadata, links, and confidence results.

Evaluate Spotify tracks and return rich musical data covering mood, energy, danceability, happiness, tempo, key, popularity, and other audio features.

Analyze Spotify tracks and provide detailed audio insights, including mood, energy, danceability, happiness, tempo, key, popularity, and other musical characteristics.

Get comprehensive Spotify track analysis with insights into mood, energy, danceability, happiness, tempo, key, popularity, and additional audio attributes.

Matches audio recordings to songs and delivers detailed music metadata, including track, artist, album, genre, and streaming service information.

Identifies songs from audio files and provides detailed track information, including artists, albums, genres, and available music services.

Recognizes songs from uploaded audio and returns comprehensive metadata such as track titles, artists, albums, genres, and music service links.

The Speech Analysis API converts audio to text with high accuracy, providing seamless integration for a variety of applications.

Extract high-quality audio from YouTube videos effortlessly with our YouTube Audio Extraction API.

The YT Video Analyzer API provides developers with powerful tools to analyze and extract insights from YouTube videos. With features such as sentiment analysis, keyword extraction, and metadata retrieval, this API enables users to gain a deeper understanding of video content, audience engagement, and trending topics. Easily integrate it into your applications to enhance content discovery and optimize video performance on the YouTube platform.

Track Spotify artist performance trends with detailed analytics to elevate your music marketing efforts.

Gain in-depth analytics on music augmented reality data to improve audience engagement.