Skip to main content

A CLI tool to remove, edit, or selectively filter metadata from images, documents, audio, and video files.

Project description

Metadata Cleaner

CI Release PyPI version License: MIT

Metadata Cleaner is a privacy-focused CLI for viewing and removing metadata from local files. It writes cleaned copies by default and avoids modifying originals in-place.

Supported Files

  • Images: JPG, JPEG, PNG, TIFF, WEBP, AVIF
  • Documents: PDF, DOCX, TXT
  • Audio: MP3, WAV, FLAC, OGG, AAC, M4A, WMA
  • Video: MP4, MKV, MOV, AVI, WEBM, FLV

Video support requires ffmpeg and ffprobe. AVIF and broader metadata coverage benefit from exiftool.

Installation

Requires Python 3.11 or newer.

pip install metadata-cleaner
metadata-cleaner --help

For development:

git clone https://github.com/sandy-sp/metadata-cleaner.git
cd metadata-cleaner
poetry install --with dev
poetry run metadata-cleaner --help

CLI Usage

View metadata:

metadata-cleaner view sample.jpg

Remove metadata from one file:

metadata-cleaner delete sample.jpg

Write to a specific file:

metadata-cleaner delete sample.jpg --output cleaned/sample.jpg

Process a folder recursively:

metadata-cleaner delete ./photos --output ./cleaned-photos

Preview a run without writing files:

metadata-cleaner delete ./photos --dry-run

Edit metadata where supported:

metadata-cleaner edit song.mp3 --changes '{"artist": "Unknown"}'

Development Checks

python3 manage.py test
python3 manage.py lint
python3 manage.py check

CI runs tests, lint, and pip-audit on pull requests and pushes to main.

Docker

docker build -t metadata-cleaner .
docker run --rm -v "$(pwd)/photos:/data" metadata-cleaner delete /data

Logging

By default, logs go to stderr only. To write a log file, opt in explicitly:

METADATA_CLEANER_LOG_FILE=./metadata-cleaner.log metadata-cleaner delete sample.jpg

Use debug logging when needed:

METADATA_CLEANER_LOG_LEVEL=DEBUG metadata-cleaner view sample.jpg

Resources

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

metadata_cleaner-3.2.0.tar.gz (14.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

metadata_cleaner-3.2.0-py3-none-any.whl (20.2 kB view details)

Uploaded Python 3

File details

Details for the file metadata_cleaner-3.2.0.tar.gz.

File metadata

  • Download URL: metadata_cleaner-3.2.0.tar.gz
  • Upload date:
  • Size: 14.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.12.3 Linux/6.17.0-1010-azure

File hashes

Hashes for metadata_cleaner-3.2.0.tar.gz
Algorithm Hash digest
SHA256 89b3b5d2547ef5d7954abbe9c4b6dfd1b80e5ef3fb050066cfa74bf804022d1e
MD5 f892f902a58b67357cb998ea62ca155c
BLAKE2b-256 12d64c78aea0803cc63b1c0fa2ff3e09323ba5a89f573381747fb2307137dc28

See more details on using hashes here.

File details

Details for the file metadata_cleaner-3.2.0-py3-none-any.whl.

File metadata

  • Download URL: metadata_cleaner-3.2.0-py3-none-any.whl
  • Upload date:
  • Size: 20.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.12.3 Linux/6.17.0-1010-azure

File hashes

Hashes for metadata_cleaner-3.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2f23e6f644fb47918d78191829403b4c307fc55373f906fa2cf875d5d48fae31
MD5 9d14b05e316cb6972e1e26be2756b5e6
BLAKE2b-256 f28bb4fbacdd8966de2048ac334c412b5033ce052213eda9009195a9ce12194e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page