Svesta
Forensic AI watermark detection engine.
Detects statistical and perceptual AI-generated watermarks across text, images, audio and video content, and produces calibrated probabilistic output suitable for evidentiary documentation under s.146 of the Evidence Act 1995 (Cth).
Part of the Strategos Suite by ShadowStrike.
This package is currently a namespace placeholder. Full release in development.
© 2026 Strategos. All rights reserved. Aut Viam Inveniam Aut Faciam
1 maintainer
Release files for svesta 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| svesta-0.0.1.tar.gz | 1.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| svesta-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.2 kB
Release files / svesta-0.0.1.tar.gz
| Download URL | svesta-0.0.1.tar.gz |
|---|---|
| Size | 1.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.9
|
Release files / svesta-0.0.1-py3-none-any.whl
| Download URL | svesta-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.9
|
