Articles
How to Replace Audio in Video on Mac
How to Add an Audio Watermark on Mac
Embed an inaudible watermark into MP3, WAV, FLAC, and other audio files on Mac — protects your demos and sample packs from unauthorised use.
How to Batch Edit Audio Metadata on Mac
Batch-edit ID3 tags across hundreds of audio files on Mac — set artist, album, genre, BPM, and year in a single pass.
Normalize Audio to LUFS on Mac
Normalise your audio files to exact LUFS targets for Spotify, Apple Music, YouTube, and broadcast — processed 100% locally on your Mac.
Seamless Audio Looper for Mac
Create perfectly seamless audio loops on Mac with crossfade control — ideal for background music, streaming beds, and live performance.
Batch Audio Fade Out on Mac
Add linear or exponential fade-outs to entire batches of audio files on Mac without any quality loss.
Batch Audio Converter for Mac
Convert batches of MP3, WAV, FLAC, M4A, AIFF, and AAC files on Mac — all formats, zero quality loss, fully local.
Convert Audio to Video on Mac
Combine any audio file with a static image to create a shareable MP4 video on Mac — no upload, no subscription.
Seamless Video Looper for Mac
Loop MP4 and MOV video files seamlessly on Mac to a target duration — perfect for social media and background display.
Transcription Helper for Mac
Auto-rewind audio at a set interval so you can focus on music transcription without manually hitting play and stop.
AudioVector
Audiovector Terms for Creating Embeddings
Terms and conditions governing use of the AudioVector API and related services.
What Is an Audio Vector? A Complete Guide
Learn what an audio vector is — a mathematical AI representation of a sound file used for semantic search, similarity matching, and audio intelligence.
Audio Embedding Models: CLAP, Wav2Vec, PANNs & More
Compare CLAP, Wav2Vec 2.0, PANNs, VGGish, and EnCodec to choose the right audio embedding model for your search or classification project.
What Are Audio Embeddings? How They Work and How They Are Generated
Understand how neural networks convert raw audio into numerical vectors and how developers use those vectors for search, recommendations, and classification.
How Audio Search Systems Can Be Adapted for Music Genre Classification with AI
Learn how to build music genre classification with AI using the same vector embedding pipeline that powers audio similarity search.
How Music Libraries Can Build Similarity Search with Audio Embeddings
A step-by-step guide to building an AI-powered similarity search feature for music libraries and sample marketplaces using audio embeddings.
What Is Audio Similarity Search? How It Works and Why It Matters
Understand how audio similarity search works, its use cases across music, speech, and sound design, and why vector databases make it scalable.
How Vector Databases Enable Large-Scale Audio Similarity Search
A technical guide to storing, indexing, and querying audio embeddings at scale — covering Pinecone, Qdrant, Milvus, pgvector, HNSW, and IVF indexing.