Metadata-Version: 2.4
Name: docs-anonymizer
Version: 0.0.1
Summary: Reserved name for an upcoming offline PII document anonymizer. The first functional release will be 1.1.0.
Project-URL: Homepage, https://github.com/okulov/anonymizer
Project-URL: Repository, https://github.com/okulov/anonymizer
Author-email: okulov <noreply@okulov.dev>
License: AGPL-3.0-or-later
License-File: LICENSE
Keywords: anonymization,docx,legal,pdf,pii,privacy,redaction,xlsx
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Legal Industry
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Office/Business
Classifier: Topic :: Security
Classifier: Topic :: Text Processing
Requires-Python: >=3.11
Description-Content-Type: text/markdown

# docs-anonymizer

**Status:** Name reservation. The first functional release will ship as **`1.1.0`**.

`docs-anonymizer` will be an offline document anonymizer for legal teams. It
masks personal identifiers (names, taxpayer numbers, addresses, emails,
phones, etc.) inside `.docx` / `.xlsx` / text-layer `.pdf` documents so they
can be reviewed by external AI services without sending raw PII over the
network. All processing is local; the library does not make network calls.

## Why this placeholder exists

This `0.0.1` placeholder reserves the name `docs-anonymizer` on PyPI ahead
of the public release. The real `1.1.0` release will replace these stub
contents with the full CLI + library + web app.

## License

AGPL-3.0-or-later (the upcoming full release ships under the same license).
