NaSuno
AI audio watermark removal & forensic anti-attribution toolkit. Neutralizes Suno, Udio, and neural fingerprints with ISO 226 perceptual masking.
Concise Brief · Core Value & Positioning
Jargon-free breakdown of core value and deliverable form
Removes Suno, Udio and neural audio watermarks using ISO 226 perceptual masking to defeat forensic attribution.
Media & Images
Library / Core SDK
Multi-language · MIT
Next star milestone
10,000 ★
5,961 / 10,000 · 60%
7-day net growth +1,368
Star history
Tracking 102 verified historical snapshots
Maintenance & community signals
- Last push
- 2026-10-22
- Fork / Star
- 0.1%
- 7-day net stars
- +1,368
Public metadata does not certify product quality, code safety or authentic stars. Value assessment requires separate evidence.
Geek Clone & Cloud Code Inspector
1-click clone or inspect source code & AI architecture online
Cloning downloads the source; follow the project README for dependencies and installation.
GitValue · Value evidence
Unscored · Evidence coverage 0%
Provisional rubric; documentation and runtime testing are separate. Missing evidence does not imply low value.
Frequently Asked Questions about NaSuno
What is AhmadHassan-BTed/NaSuno (NaSuno) and what problem does it solve?
Removes Suno, Udio and neural audio watermarks using ISO 226 perceptual masking to defeat forensic attribution. Maintained by AhmadHassan-BTed and primarily written in multiple languages, it is ranked in the Media & Images category on GitRank.
How fast is NaSuno growing on GitHub?
AhmadHassan-BTed/NaSuno has 5,961 stars and 4 forks in the latest snapshot, with +1,368 net stars over seven days. These are community and activity signals rather than proof of project quality.
Which related projects can I compare with NaSuno?
No sufficiently supported related-use candidates are available. Explore the Media & Images category for more projects.
How do I install or clone NaSuno?
You can clone the repository directly via `git clone https://github.com/AhmadHassan-BTed/NaSuno.git` and follow the official README instructions on GitHub.