resemble-perth
Audio Watermarking and Detection Library
Decision gist · record as of 2026-08-14
Yes, if you need audio watermarking. The library has low install friction, permissive licensing, no known vulnerabilities, and an active repository. However, the aging maintenance status and lack of recent updates suggest you should verify that the neural network models and robustness claims meet your specific use case before committing to production deployment.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Audio input must be loaded separately; the package does not include audio I/O dependencies.
- Low friction installation with no runtime dependencies.
- Maintenance status is aging—last release was in May 2025 and the repository has not been updated since then, though it remains active with 533 stars.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), so you can use, modify, and distribute the package freely with minimal restrictions.
last release 2025-05-23 (448 days) · last repo commit 2025-12-22 · 533 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 239,877 downloads/mo, #8,913 on PyPI
Alternatives
Verify before relying
pip install resemble-perth
import perth
watermarker = perth.PerthImplicitWatermarker()
watermarked_audio = watermarker.apply_watermark(wav, watermark=None, sample_rate=sr)
watermark = watermarker.get_watermark(watermarked_audio, sample_rate=sr)- Whether the neural network models are bundled or require separate download/initialization.
- GPU/CUDA requirements and performance characteristics for the PerthImplicitWatermarker.
- Specific audio formats and sample rates supported beyond the examples shown.
- Robustness claims against particular audio transformations (compression codecs, bit rates, etc.).
What it is and what it does
Perth is a Python library for embedding and extracting imperceptible watermarks in audio files. It implements neural network-based watermarking techniques—primarily the Perth-Net Implicit approach—designed to survive audio transformations like compression and resampling while maintaining perceptual audio quality. The library provides both a command-line interface for quick tasks and a Python API for integration into applications.
You load audio, initialize a watermarker object, apply or extract a watermark, and save the result. The package includes utilities to measure audio quality metrics and compare original and watermarked audio. It supports Python 3.8, 3.9, 3.10, and 3.11 and has no runtime dependencies, making installation straightforward.
Use it for
- Embed ownership or authenticity markers in audio content for copyright protection or provenance tracking.
- Detect whether audio has been watermarked as part of a content verification or anti-piracy workflow.
- Test audio watermarking robustness by applying transformations and checking if watermarks survive.
- Evaluate perceptual quality of watermarked audio using built-in metrics before deploying to production.
- Integrate watermarking into an audio processing pipeline via the Python API.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need audio watermarking.
The library has low install friction, permissive licensing, no known vulnerabilities, and an active repository. However, the aging maintenance status and lack of recent updates suggest you should verify that the neural network models and robustness claims meet your specific use case before committing to production deployment.
Install
resemble-perth on PyPI
Before you install
Low friction installation with no runtime dependencies. Maintenance status is aging—last release was in May 2025 and the repository has not been updated since then, though it remains active with 533 stars.
Audio input must be loaded separately; the package does not include audio I/O dependencies.
License in practice
Licensed under MIT (permissive), so you can use, modify, and distribute the package freely with minimal restrictions.
Quickstart
pip install resemble-perth
import perth
watermarker = perth.PerthImplicitWatermarker()
watermarked_audio = watermarker.apply_watermark(wav, watermark=None, sample_rate=sr)
watermark = watermarker.get_watermark(watermarked_audio, sample_rate=sr)Verify before relying
- Whether the neural network models are bundled or require separate download/initialization.
- GPU/CUDA requirements and performance characteristics for the PerthImplicitWatermarker.
- Specific audio formats and sample rates supported beyond the examples shown.
- Robustness claims against particular audio transformations (compression codecs, bit rates, etc.).
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 448 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 239,877 / month, #8,913 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Multimedia :: Sound/AudioTopic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: resemble_perth-1.0.1-py3-none-any.whl
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