Beatlyze
Audio analysis API — BPM, key, mood from any file
What it does
POST a URL or upload a file, get back BPM, key, energy, danceability, loudness (LUFS), mood tags, genre suggestions, and per-section breakdowns as JSON. No OAuth, no SDK required — just an API key. Async job model with webhooks, Python and JS SDKs, and an MCP server for AI agents. Free tier: 50 analyses/month, no credit card needed.
Does the same job
all alternatives →- GAGaliboo – An A.I.-powered API for music2018 · ▲61
Hi guys! At our startup, Galiboo, we've created an AI-powered API for music, which can do things like: - searching for music with natural language - extracting hundreds of moods & emotions from any track - finding tracks by tags - get similar-sounding music - and more. The website is https://galiboo.com/, and the API docs are at apidocs.galiboo.com. We've also got a live demo at demo.galiboo.com. We also have a Python client library at https://github.com/galiboo/galiboo-python. Our APIs are in beta, so we'd love to hear your thoughts & feedback! :) Thanks!
- FAFree AI-based music demixing in the browser2023 · sevag.xyz · ▲190
Hi all, I've spent some time working on music demixing or music source separation algorithms, which take in a mixed song and output estimates of isolated components (e.g. vocals, drums, bass, other). I took a popular PyTorch model with good performance (Open-Unmix, UMX-L weights), reimplemented the inference steps in C++, and compiled it to WebAssembly for a free client-side music demixer.
- MAMusic Audio Search Engine Using OpenAI's Embeddings on GPT Descriptions2023 · muzic-sage.vercel.app · ▲92
I am excited to announce a new tool for music producers and audio enthusiasts - a music audio search engine. With just a simple description of the groove you're looking for, our semantic search engine will output the most similar audio in seconds. I used the Freesound.org API to upload over 3,000 grooves to MongoDB, and combined all the relevant data such as tags, title, description, BPM, etc. into OpenAI's Text-Davinci to generate a unique description of each sound. I then embedded these descriptions using the Ada Embeddings Model and inserted them into Pinecone DB vector database, making…
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