Open source audio-processing projects
Every project in the registry tagged audio-processing, ranked by real GitHub adoption.
Open-source, self-hosted file-processing tool. Convert, compress, OCR, transcribe & run local AI across image, video, audio, PDF & documents, via UI, REST API &
AI audio watermark removal & forensic anti-attribution toolkit. Neutralizes Suno, Udio, and neural fingerprints with ISO 226 perceptual masking.
⏩ Fast-forwards long pauses between sentences — watch lectures ~1.5x faster (browser extension)
Frequently asked questions
How many open source audio-processing projects are there?
This registry tracks 3 projects tagged audio-processing, with 5,407 GitHub stars between them. The most-adopted is SnapOtter at 2,830 stars.
Are these audio-processing projects free to use?
Yes — 3 of the 3 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which audio-processing project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these audio-processing projects still maintained?
3 of the 3 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.