Beatlyze
Audio analysis API — BPM, key, mood from any file
Beatlyze launched on March 19, 2026 with 1 votes, #8,013 of 23,380 launches that month.
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 a similar 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!
- 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…
Web Audio Studio – A Visual Debugger for Web Audio API GraphsMar 2026 · webaudio.studio · ▲64Hi HN, I’ve been working on a browser-based tool for exploring and debugging Web Audio API graphs. Web Audio Studio lets you write real Web Audio API code, run it, and see the runtime graph it produces as an interactive visual representation. Instead of mentally tracking connect() calls, you can inspect the actual structure of the graph, follow signal flow, and tweak parameters while the audio is playing. It includes built-in visualizations for common node types — waveforms, filter responses, analyser time and frequency views, compressor transfer curves, waveshaper distortion, spatial…
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