mudio 3.3.2

Friendly command-line music-metadata editor and Python library

mudio

mudio is a powerful, friendly command-line music metadata editor and Python library. It provides a unified API for handling metadata across MP3, FLAC, M4A, and more, making batch processing and automation simple and safe.

• For full command details, see the CLI Reference.
• For code API details, see the API Reference.

Features

• Unified API: Write code once, run it on MP3, FLAC, M4A, WAV, OGG, and OPUS.
• Batch Processing: robust CLI for processing thousands of files.
• Parallel Execution: Automatically uses multi-threading for large batches.
• Safety First: Built-in backup system, dry-run mode, and careful validation.
• Powerful Operations:
  • Find & Replace: Regex-supported search and replace in tags.
  • Mass Edits: Set, overwrite, append, prefix, or clear tags.
  • Filtering: Apply changes only to files matching specific criteria (e.g. artist="The Beatles").

Supported Formats

• MP3 (.mp3) - ID3v2.3/v2.4
• FLAC (.flac) - Vorbis Comments
• M4A / MP4 (.m4a, .mp4) - MP4 Tags
• Ogg Vorbis (.ogg)
• Opus (.opus)
• WAV (.wav)

Installation

pip install mudio

CLI Usage

Simple: Update metadata for files

# Set album name for all MP3 files
mudio *.mp3 --operation write --fields album --value "Greatest Hits"

Advanced: Conditional batch processing with backup

# Fix title formatting for 1990s Rock tracks, with backups and regex
mudio /music --recursive --backup ./backups \
  --filter-regex --filter "date=^199" --filter "genre=Rock" \
  --operation find-replace --fields title --find "\s+" --replace " " --regex

💡 Tip: Use --dry-run to preview changes before applying them.

Python Library Usage

Simple: Read and write metadata

from mudio.processor import process_file
from mudio.operations import write

# Update a single file with automatic verification
result = process_file(
    "song.mp3",
    ops=[write('artist', 'The Beatles')]
)
print(f"Success: {result['passed']}")  # True if successful

Advanced: Batch processing with operations

from mudio.processor import process_files
from mudio.operations import write, enlist, find_replace
from pathlib import Path

# Process multiple files with complex operations
results = process_files(
    Path('music').rglob('*.flac'),
    ops=[
        enlist('genre', 'Rock;Classic'),           # Add genres if not present
        find_replace('title', r'\s+', ' ', regex=True),  # Normalize whitespace
        write('albumartist', 'Various Artists')
    ],
    filters=[('date', '^199', True)],  # Only 1990s tracks (regex)
    backup_dir='./backups',
    max_workers=4
)

print(f"Updated {sum(r['passed'] for r in results)} files")

Environment Variables

You can configure mudio's default behavior using environment variables:

• MUDIO_SCHEMA: Set default schema for reading metadata (canonical, extended, or raw). Default: extended.
• MUDIO_MAX_WORKERS: Default thread count for parallel processing.
• MUDIO_VERBOSE: Default verbosity (0 or 1).
• MUDIO_NAMESPACE: Namespace for custom MP4/M4A fields (default: com.apple.iTunes). Setting this to something else (e.g. org.myproject) allows isolating your custom tags.

# Example: Use extended schema by default (canonical + custom fields)
export MUDIO_SCHEMA=extended
python your_script.py

Behavior Notes

Field Handling (All Formats)

mudio normalizes metadata to a case-insensitive canonical schema and applies consistent rules across formats.

Reading

• Canonical fields: Tags are normalized to standard names (e.g., TIT2 → title).
• Strict whitespace handling: All values are stripped of leading/trailing whitespace. Empty or whitespace-only values are dropped.
• Empty field representation: If a field exists but all values are empty after stripping, it returns [''] (a list with a single empty string).
• Deduplication: All field values are deduplicated case-insensitively, and identical frames are merged.

Writing

• Canonical fields: Written to format-specific native tags.
• Strict whitespace handling: Values are stripped; empty strings are dropped from lists.
• Smart empty: A single [''] (e.g. from clear()) is preserved and written, allowing explicit "empty" tags.
• Deletion: Writing [] (empty list) deletes the field entirely.
• All fields are multi-valued: All unique values are written.
• Custom fields: Keys are sanitized to caps snake case (e.g., MY_CUSTOM_FIELD).

Example - Custom Field Writing:

# Writing with various custom key formats
sm.write_fields({
    'my-custom-field': ['value1'],  # Written as: MY_CUSTOM_FIELD
    'AnotherField': ['value2'],      # Written as: ANOTHERFIELD
})

Canonical Fields

The following canonical fields are recognized by mudio across all audio formats:

title · artist · album · albumartist · genre · comment · composer · performer · date · track · totaltracks · disc · totaldiscs

Note: All field names are case-insensitive. Common variations (e.g., album_artist, tracknumber, discnumber) are automatically mapped to their canonical form.

Comparison with Alternatives

vs. Mutagen

• Mutagen is the low-level library that mudio uses. It is powerful but requires learning different APIs for ID3, Vorbis, and MP4 tags.
• mudio abstracts these differences. Use mudio if you want a simple, unified API (e.g. sm.write_fields({'title': ...}) works on everything). Use mutagen if you need byte-level control or support for obscure frame types.

vs. music_tag

• music_tag is a library primarily for Python scripts, offering a dictionary-like interface. It is excellent for simple script usage.
• mudio offers similar library features but includes a robust CLI for batch processing, filtering, and safety operations (backups, dry-runs) out of the box.

vs. Beets

• Beets is a complete library manager with a centralized database, autotagger, and plugin system. It implies a workflow where it "owns" your library.
• mudio is a stateless tool. It modifies files directly without a database. Use mudio for quick fixes, batch scripting, or if you prefer managing your file structure manually.

vs. Picard

• MusicBrainz Picard is a GUI application focused on matching files to the MusicBrainz database.
• mudio is a CLI/Library tool. It's better for automation, headless servers, or mass-editing tags based on patterns rather than database matching.

vs. EyeD3

• EyeD3 is excellent but specific to MP3/ID3.
• mudio supports FLAC, M4A, OGG, and more with the same commands.

Development

# Install dependencies
pip install -e ".[dev]"

# Run tests
pytest