adblockradio/adblockradio

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1488 stars · 63 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Adblock Radio is a Node.js library that detects and blocks advertisements in live radio streams and podcasts using machine learning and audio fingerprinting. It decodes audio with ffmpeg, analyzes it with a neural network and a fingerprint matcher, and exposes a Readable stream of analysis results.

Use cases

• skip ads in podcast downloads automatically
• mute or block ads in live radio streams
• detect known jingles or songs in audio via fingerprinting
• classify audio segments as ads vs content with a neural network
• build a custom radio player that filters commercials

When to choose

• you need programmatic ad detection in radio or podcast audio
• you want to combine ML spectral analysis with fingerprint matching
• you are comfortable with an archived project and older Node.js versions

When to avoid

• you need actively maintained software or modern Node.js support
• you want a ready-made end-user app rather than a library
• you need real-time performance on constrained hardware without tuning

Facets

library · maturity abandoned

machine-learning audio-processing speech-recognition machine-learning media privacy windows adblock radio podcasts audio-fingerprinting shazam tensorflow keras archived stream-processing audio nodejs linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="adblockradio/adblockradio")